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| { | |
| "text": "[\"CIMMYT β International Maize and Wheat Improvement Center\" β Overview]\nCIMMYT is an international agricultural research center (part of CGIAR) headquartered in Mexico, with strong presence in sub-Saharan Africa through its CIMMYT-Africa office in Nairobi. CIMMYT develops improved maize and wheat varieties and conducts research on agronomy, socioeconomics, and seed systems.", | |
| "source": "wiki/entities/CIMMYT.md", | |
| "title": "\"CIMMYT β International Maize and Wheat Improvement Center\"", | |
| "section": "Overview", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"CIMMYT β International Maize and Wheat Improvement Center\" β Role in Kenya Maize Research]\nCIMMYT appears as a collaborating or co-funding institution in the majority of papers in this collection:\n\n| Paper | CIMMYT role |\n|---|---|\n| [[genetic-gains-khmp]] (Ligeyo et al. 2024) | Partner in KHMP; co-funder via BMGF/USAID |\n| [[farmer-preferences-stress-tolerant-varieties]] (Marenya et al. 2022) | Lead institution |\n| [[mcmv-seed-transmission]] (Kimani et al. 2021) | Partner; CGIAR MAIZE funding |\n| [[agronomic-factors-yield-gap-kenya]] (Oluoch et al. 2022) | Lead institution |\n| [[mln-resistance-screening]] (Karanja et al. 2018) | Germplasm provider (MLN series); KAPAP co-funder |", | |
| "source": "wiki/entities/CIMMYT.md", | |
| "title": "\"CIMMYT β International Maize and Wheat Improvement Center\"", | |
| "section": "Role in Kenya Maize Research", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"CIMMYT β International Maize and Wheat Improvement Center\" β Key Programs in Kenya]\n- **Kenya Hybrid Maize Program (KHMP):** Joint KALRO-CIMMYT hybrid breeding program\n- **DTMA (Drought Tolerant Maize for Africa):** Funded by BMGF; developed drought-tolerant varieties including those evaluated in Marenya et al.\n- **CGIAR MAIZE Program:** Umbrella program supporting MLN research and seed systems work", | |
| "source": "wiki/entities/CIMMYT.md", | |
| "title": "\"CIMMYT β International Maize and Wheat Improvement Center\"", | |
| "section": "Key Programs in Kenya", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"CIMMYT β International Maize and Wheat Improvement Center\" β Germplasm Contributions]\n- MLN-designated breeding lines (MLN001βMLN065 series) β used in [[mln-resistance-screening]]\n- CKDHL series (doubled haploid lines): CKDHL120918 (MLN001), CKDHL120312 (MLN013)\n- Stress-tolerant hybrids for Western Kenya evaluated in choice experiments", | |
| "source": "wiki/entities/CIMMYT.md", | |
| "title": "\"CIMMYT β International Maize and Wheat Improvement Center\"", | |
| "section": "Germplasm Contributions", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"CIMMYT β International Maize and Wheat Improvement Center\" β Funders in Kenya Work]\nPrimarily funded through BMGF (Bill & Melinda Gates Foundation), USAID Feed the Future, and national government partners.", | |
| "source": "wiki/entities/CIMMYT.md", | |
| "title": "\"CIMMYT β International Maize and Wheat Improvement Center\"", | |
| "section": "Funders in Kenya Work", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCSAP β Kenya Climate Smart Agriculture Project\" β Overview]\nKCSAP is a national agricultural development project funded jointly by the Government of Kenya and the World Bank. It aims to increase agricultural productivity and build climate resilience for smallholder farmers across Kenya through technology dissemination, capacity building, and value chain development.", | |
| "source": "wiki/entities/KCSAP.md", | |
| "title": "\"KCSAP β Kenya Climate Smart Agriculture Project\"", | |
| "section": "Overview", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCSAP β Kenya Climate Smart Agriculture Project\" β Key Facts]\n- **Funding:** Government of Kenya (GoK) + World Bank\n- **Budget:** KES 25 billion (~USD 250M at time of publication)\n- **Duration:** 5 years\n- **Counties covered:** 24 counties", | |
| "source": "wiki/entities/KCSAP.md", | |
| "title": "\"KCSAP β Kenya Climate Smart Agriculture Project\"", | |
| "section": "Key Facts", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCSAP β Kenya Climate Smart Agriculture Project\" β Maize Value Chain Component]\nKALRO developed a Training of Trainers (ToT) manual for the maize value chain (July 2021) β [[kcsap-training-manual]] (Musila et al. 2021).\n\n**14 training modules (~66 hours total):**\n1. Climate Change & CSA\n2. FFBS Approach\n3. GAPs & FSMS\n4. Production Niches\n5. Variety Selection\n6. Seed Systems\n7. Climate-Smart Agronomics\n8. Integrated Soil & Water Management\n9. Crop Health (including MLN, FAW)\n10. Harvesting & Post-Harvest\n11. Value Addition\n12. Mechanization\n13. Business & Marketing\n14. Cross-Cutting Issues (gender, AIPs, policy)", | |
| "source": "wiki/entities/KCSAP.md", | |
| "title": "\"KCSAP β Kenya Climate Smart Agriculture Project\"", | |
| "section": "Maize Value Chain Component", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCSAP β Kenya Climate Smart Agriculture Project\" β Extension Approach]\nKCSAP uses the **Farmer Field Business School (FFBS)** model, which integrates:\n- Participatory learning groups\n- On-farm experimentation\n- Business/market skills alongside technical skills\n- Gender-inclusive approaches\n\nThis is more participatory than the top-down approach critiqued in [[KCEP-CRAL]] (Muli et al. 2024), though implementation quality varies by county.", | |
| "source": "wiki/entities/KCSAP.md", | |
| "title": "\"KCSAP β Kenya Climate Smart Agriculture Project\"", | |
| "section": "Extension Approach", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCSAP β Kenya Climate Smart Agriculture Project\" β Climate Smart Agriculture Mainstreaming]\nAll 14 modules integrate CSA principles β not siloed into one module. This reflects the project's mandate to build long-term climate resilience, not just short-term productivity gains.", | |
| "source": "wiki/entities/KCSAP.md", | |
| "title": "\"KCSAP β Kenya Climate Smart Agriculture Project\"", | |
| "section": "Climate Smart Agriculture Mainstreaming", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO β Kenya Agricultural and Livestock Research Organization\" β Overview]\nKALRO is Kenya's national agricultural research organization, formed in 2013 by merging KARI (Kenya Agricultural Research Institute) and related livestock research bodies. KALRO conducts and coordinates research across crops, livestock, fisheries, and natural resources management.", | |
| "source": "wiki/entities/KALRO.md", | |
| "title": "\"KALRO β Kenya Agricultural and Livestock Research Organization\"", | |
| "section": "Overview", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO β Kenya Agricultural and Livestock Research Organization\" β Maize-Relevant Research Stations]\n| Station | Location | Agroecology | Key activities |\n|---|---|---|---|\n| **KALRO Muguga** | Near Nairobi (highlands) | Upper Midland/Highland | Maize inbred line development, hybrid breeding |\n| **KALRO Embu** | Embu County | Mid-altitude | Multi-environment trials |\n| **KALRO Katumani** | Machakos County | Semi-arid (ASAL) | Water harvesting, ASAL variety trials |\n| **KALRO Kakamega** | Western Kenya | Humid | Multi-environment trials |\n| **KALRO Kiboko** | Makueni County | Arid | Drought stress trials |\n| **KALRO Kitui** | Kitui County | Semi-arid | Multi-environment trials |\n| **KALRO Ol Joro Orok** | Nyandarua County | Upper Highland (2400m) | High altitude trials |\n| **KALRO-Kabete** | Near Nairobi | Highland | MLN screening, disease research |\n| **KALRO Njoro** | Nakuru County | Upper Midland/Highland | Cereals research |", | |
| "source": "wiki/entities/KALRO.md", | |
| "title": "\"KALRO β Kenya Agricultural and Livestock Research Organization\"", | |
| "section": "Maize-Relevant Research Stations", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO β Kenya Agricultural and Livestock Research Organization\" β Breeding Programs]\n- **Kenya Hybrid Maize Program (KHMP):** Long-running program developing and releasing hybrid maize varieties; genetic gains documented from 1997β2020 ([[genetic-gains-khmp]])\n- Inbred line development at Muguga: MUL series (MUL508, MUL513, MUL516, etc.), CN244, POPA\n- Three-way cross hybrid development: WE-CMT-TWC series", | |
| "source": "wiki/entities/KALRO.md", | |
| "title": "\"KALRO β Kenya Agricultural and Livestock Research Organization\"", | |
| "section": "Breeding Programs", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO β Kenya Agricultural and Livestock Research Organization\" β Key Partnerships]\n- [[CIMMYT]]: Technical support, germplasm exchange, joint programs (KHMP, KCEP-CRAL, KCSAP)\n- Kenyatta University: Graduate student research (MSc/PhD theses)\n- Ohio State University / IBP: Genetic gains analysis\n- KEPHIS: Seed certification collaboration\n- KAPAP: Research funding for MLN screening", | |
| "source": "wiki/entities/KALRO.md", | |
| "title": "\"KALRO β Kenya Agricultural and Livestock Research Organization\"", | |
| "section": "Key Partnerships", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO β Kenya Agricultural and Livestock Research Organization\" β Roles in Project Programs]\n- **[[KCEP-CRAL]]:** Research and technology generation; provided technology packages\n- **[[KCSAP]]:** ToT manual development (Musila et al. 2021); county extension support", | |
| "source": "wiki/entities/KALRO.md", | |
| "title": "\"KALRO β Kenya Agricultural and Livestock Research Organization\"", | |
| "section": "Roles in Project Programs", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\" β Overview]\nKCEP-CRAL is a Kenyan government agricultural development programme targeting cereal production in arid and semi-arid lands (ASALs), particularly Machakos, Makueni, and Kitui counties (and potentially others). It focuses on improving productivity, climate resilience, and farmer livelihoods through technology adoption and value chain strengthening.", | |
| "source": "wiki/entities/KCEP-CRAL.md", | |
| "title": "\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\"", | |
| "section": "Overview", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\" β Geography]\nPrimary target counties: **Machakos, Makueni, Kitui** (all ASAL counties in Eastern Kenya).", | |
| "source": "wiki/entities/KCEP-CRAL.md", | |
| "title": "\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\"", | |
| "section": "Geography", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\" β Technology Package]\nThe programme promotes a package of agricultural technologies including:\n- In situ water harvesting (ngolo pits, zai pits, contour furrows) β [[water-harvesting-katumani]]\n- Improved variety adoption\n- Integrated soil fertility management (DAP + organic manure combinations)\n- Conservation agriculture practices", | |
| "source": "wiki/entities/KCEP-CRAL.md", | |
| "title": "\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\"", | |
| "section": "Technology Package", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\" β Known Implementation Gaps]\nFrom [[kcep-cral-communication-stakeholders]] (Muli et al. 2024):\n- **Technology adoption rate:** Below 30%\n- Communication plans were designed top-down without adequate farmer and AEO participation\n- AEOs served as message transmitters rather than participatory facilitators\n- Gap between recommended practices and farmer realities β Freire's dialogic action theory highlights the absence of genuine dialogue", | |
| "source": "wiki/entities/KCEP-CRAL.md", | |
| "title": "\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\"", | |
| "section": "Known Implementation Gaps", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\" β Comparison with KCSAP]\n| Feature | KCEP-CRAL | [[KCSAP]] |\n|---|---|---|\n| Geography | Eastern ASAL counties | 24 counties nationwide |\n| Financing | β | World Bank + GoK (KES 25 billion) |\n| Extension approach | Top-down (per Muli 2024 critique) | FFBS (more participatory) |\n| Training materials | β | ToT manuals (Musila et al. 2021) |", | |
| "source": "wiki/entities/KCEP-CRAL.md", | |
| "title": "\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\"", | |
| "section": "Comparison with KCSAP", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\" β Research Links]\n- [[water-harvesting-katumani]]: Wafula et al. (2022) funded by KCEP-CRAL β direct evaluation of programme technology package\n- [[kcep-cral-communication-stakeholders]]: Muli et al. (2024) β critical assessment of programme communication strategy", | |
| "source": "wiki/entities/KCEP-CRAL.md", | |
| "title": "\"KCEP-CRAL β Kenya Cereal Enhancement Programme β Climate Resilient Agriculture Livelihoods\"", | |
| "section": "Research Links", | |
| "page_type": "entity", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β Inventory of CSA TIMPs for Maize Value Chain β Volume I]\n**Citation:** Musila R.N., Ligeyo D.O., Murenga M. et al. (2022). *Inventory of Climate Smart Agriculture Technologies, Innovations and Management Practices for Maize Value Chain, Volume I.* KALRO/KCSAP. October 2022.", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "Inventory of CSA TIMPs for Maize Value Chain β Volume I", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β Overview]\nThis 365-page document is the official KCSAP TIMPs inventory for the maize value chain. It provides standardized, structured profiles of **193 TIMPs** covering the full production system from variety selection through postharvest and value addition.\n\n**Totals:** 116 Technologies | 20 Innovations | 57 Management Practices \n**Status:** 149 ready for upscaling | 37 requires validation | 5 requires further research\n\nEach TIMP follows a uniform 7-section template: (A) problem/description/justification, (B) dissemination approaches, (C) counties promoted/to be upscaled, (D) economic/gender/VMG considerations, (E) success stories, (F) readiness status, (G) contacts.\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β Sub-theme Summary]\n| Sub-theme | Technologies | Innovations | Mgmt Practices |\n|---|---|---|---|\n| Improved maize varieties | 79 | 0 | 0 |\n| Maize seed system | 0 | 3 | 0 |\n| GAPs and Food Safety | 1 | 0 | 2 |\n| Agronomic management practices | 0 | 0 | 9 |\n| Soil fertility management | 0 | 1 | 3 |\n| Soil & water management | 9 | 0 | 2 |\n| Irrigation and drainage | 1 | 0 | 0 |\n| Agroforestry systems | 0 | 0 | 1 |\n| Maize Crop health | 3 | 0 | 15 |\n| Weed Management | 2 | 1 | 9 |\n| Harvesting & Postharvest | 10 | 0 | 3 |\n| Maize Value addition | 3 | 14 | 0 |\n| Mechanization | 8 | 1 | 0 |\n| Farming Business & marketing | 0 | 0 | 8 |\n| Elements of Agricultural Policies | 0 | 0 | 5 |\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "Sub-theme Summary", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.2.1 Coastal Lowlands (CL 2, 3 & 4)]\n| TIMP Name | Type | Maturity | Yield potential | Key attributes | Status |\n|---|---|---|---|---|---|\n| Coast Composite Maize (CCM) | OPV | 110β120 days | 16β21 bags/acre | Heat tolerant, leaf rust resistant, rainfed+irrigated | Ready |\n| WSQ104 | QPM OPV | 90β105 days | 15 bags/acre | Drought tolerant, high lysine+tryptophan, 0β1200 m | Ready |\n| KH500Q | QPM 3-way hybrid | 90β120 days | 36 bags/acre | Drought tolerant, MSV resistant, GLS resistant | Ready |\n| PH4 (Pwani Hybrid 4) | Hybrid | 120β150 days | 24 bags/acre | Heat tolerant, partial MSV resistance, rainfed+irrigated | Ready |\n| PH1 (Pwani Hybrid 1) | Hybrid | 90β120 days | 18 bags/acre | Drought tolerant, excellent husk cover | Ready |\n| WE2111 | 3-way hybrid | 4.5β5 months | 4.7β8.7 t/ha | Drought tolerant, NLB/GLS/MSV resistant, white dent | Ready |\n| MTPEH0701 | 3-way hybrid | 120β150 days | 26 bags/acre | Large grain borer & weevil resistant | Ready |\n| MTPEH0702 | 3-way hybrid | 120β150 days | 26 bags/acre | Large grain borer & weevil resistant | Ready |\n| MTPEH0703 | 3-way hybrid | 4β5 months | 26 bags/acre | Spotted stem borer resistant | Ready |\n| MTPEH200804 (KH125-02-MDR) | 3-way hybrid | 120 days | 26 bags/acre | MSV resistant, GLS resistant | Ready |\n| MTPEH200805 (KH125-03-SG) | Stay-green 3-way hybrid | 120 days | 5β6.4 t/ha | Drought tolerant, stem borer resistant, GLS resistant | Ready |", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.1 Coastal Lowlands (CL 2, 3 & 4)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.2.2 Medium Altitude β Dry (semi-arid, ~600β1200 m)]\n| TIMP Name | Type | Maturity | Yield potential | Key attributes | Status |\n|---|---|---|---|---|---|\n| KCB (Katumani Composite B) | OPV | 85β95 days | 16β21 bags/acre | Drought escaping, stem borer resistant | Ready |\n| KDH6 SBR | 3-way hybrid | 90β120 days | 5 t/ha | Drought tolerant, low-N tolerant, stem borer resistant | Ready |\n| KH414-03 SBR | 3-way hybrid | 90β120 days | 4 t/ha | Stem borer resistant | Ready |\n| KDH414-11 (Ukamez 6) | 3-way hybrid | 90β100 days | 4.6β7.5 t/ha | Drought tolerant, GLS/NLB/MSV resistant | Ready |\n| KDH414-12 (Ukamez 7) | Stay-green 3-way hybrid | 90β100 days | 4.3β7.8 t/ha | Drought tolerant, GLS/NLB/MSV resistant, good for livestock feed | Ready |\n| WE2109 | 3-way hybrid | 4.5β5 months | 4.8β9.2 t/ha | Drought tolerant, NLB/GLS/MSV resistant, white dent | Ready |", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.2 Medium Altitude β Dry (semi-arid, ~600β1200 m)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.2.3 Medium Altitude β Moist (~1000β1800 m)]\n| TIMP Name | Type | Maturity | Yield potential | Key attributes | Status |\n|---|---|---|---|---|---|\n| WE2101 | 3-way hybrid | 4.5 months | 6.9 t/ha | Drought tolerant, NLB/MSV/GLS resistant, good husk cover | Ready |\n| WE2104 | 3-way hybrid | 4.5 months | 7.16 t/ha | Drought tolerant, NLB/MSV/GLS resistant | Ready |\n| WE2107 | 3-way hybrid | 4.5 months | 7 t/ha | NLB/MSV/GLS resistant, good husk cover | Ready |\n| WE2108 | 3-way hybrid | 4.5 months | 6.9 t/ha | NLB/MSV/GLS resistant, good husk cover | Ready |\n| WE5206 | 3-way hybrid | 105β130 days | 9 t/ha | Drought tolerant, NLB/MSV/GLS resistant | Ready |\n| WE5230 | 3-way hybrid | 105β130 days | 8 t/ha | Drought tolerant, NLB/MSV/GLS resistant | Ready |\n| EMB225 (KBEST) | 3-way hybrid | 90β120 days | 4.6 t/ha | NLB/MSV/leaf rust resistant, 1000β1800 m | Ready |\n| EMB226 (EMBU POA) | Stay-green 3-way hybrid | 90β120 days | 6.5 t/ha | NLB resistant, 1200β1800 m | Ready |\n| KH500-40E | 3-way hybrid | 120β130 days | 7 t/ha | Drought tolerant, low-N tolerant | Ready |\n| KH500-39E | 3-way hybrid | 120 days | 8β10 t/ha | Drought tolerant, GLS/NLB/MSV/foliar resistant | Ready |\n| KH500-56A (KM1101) | 3-way hybrid | 5β6 months | 6.5 t/ha | MSV resistant, GLS resistant, good husk cover | Ready |\n| KH500-Q | 3-way hybrid | 120 days | 8β10 t/ha | QPM, drought tolerant, GLS/NLB/MSV resistant | Ready |", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.3 Medium Altitude β Moist (~1000β1800 m)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.2.4 Medium Altitude β Transitional]\n| TIMP Name | Type | Maturity | Yield potential | Key attributes | Status |\n|---|---|---|---|---|---|\n| WE2106 | 3-way hybrid | 4.5β5 months | 4.7β9.1 t/ha | Drought tolerant, NLB/GLS/MSV resistant, good husk cover | Ready |\n| WE3104 | 3-way hybrid | 4 months | 5.6 t/ha | NLB/MSV/GLS resistant, good husk cover | Ready |\n| WE3106 | 3-way hybrid | 4 months | 3.28 t/ha | NLB/MSV/GLS resistant, good husk cover | Ready |\n| WE5107 | 3-way hybrid | 105β130 days | 3.7β7.2 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| WE5113 | 3-way hybrid | 105β130 days | 3.7β7.3 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| WE5138 | 3-way hybrid | 105β130 days | 4β6.5 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| WE5205 | 3-way hybrid | 105β130 days | 7.4β9.6 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| WE5210 | 3-way hybrid | 105β130 days | 7.6β10.0 t/ha | Drought tolerant, NLB/GLS/MSV resistant, good husk cover | Ready |\n| WE5213 | 3-way hybrid | 105β120 days | 7.5β9.6 t/ha | Drought tolerant, NLB/GLS/MSV resistant, good husk cover | Ready |\n| WE5218 | 3-way hybrid | 105β125 days | 7.3β9.1 t/ha | Drought tolerant, NLB/GLS", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.4 Medium Altitude β Transitional", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": "/GLS/MSV resistant, good husk cover | Ready |\n| WE5218 | 3-way hybrid | 105β125 days | 7.3β9.1 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| WE5227 | 3-way hybrid | 105β130 days | 7.5β9.5 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| KH500-13E | 3-way hybrid | 120 days | 4.5β5.3 t/ha | Drought tolerant, ear rot resistant, NLB/GLS/MSV resistant | Ready |\n| KH500-51A (MU07-018) | 3-way hybrid | 150β170 days | 6.0β6.5 t/ha | NLB/GLS/MSV resistant, flint-like | Ready |\n| KH500-52A (MU08-005) | 3-way hybrid | 4β5 months | 4.39 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| KH500-53A (MU10-010) | 3-way hybrid | 150β170 days | 4.9β5.0 t/ha | Drought tolerant, NLB/GLS/MSV resistant | Ready |\n| KH500-54A (CKH10778) | 3-way hybrid | 5β6 months | 8.5 t/ha | MSV resistant, GLS resistant, good husk cover | Ready |\n| KH500-55A (MU10-233) | 3-way hybrid | 120β160 days | 6.5 t/ha | Drought tolerant, MSV resistant, GLS resistant | Ready |", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.4 Medium Altitude β Transitional", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.2.5 Highlands (1800β2500 m asl, 1000β2000 mm rainfall)]\n| TIMP Name | Type | Maturity | Yield potential | Key attributes | Status |\n|---|---|---|---|---|---|\n| KH600-11D | Varietal cross hybrid | 140β160 days | 32β42 bags/acre | GLS resistant, strong stalks, good husk cover (1999) | Ready |\n| KH600-23A | Top cross hybrid | 145β175 days | 43β68 bags/acre | GLS/rust resistant, strong stalks, good husk cover (2008) | Ready |\n| HAC (High Altitude Composite) | OPV | 140β160 days | 20β34 bags/acre | Early maturity, frost tolerant, GLS resistant, 2200β3000 m (2006) | Ready |\n| KH600-14E | Top cross hybrid | 150β165 days | 38β48 bags/acre | Drought tolerant, GLS/rust/TLB resistant (2004) | Ready |\n| KH600-15A | Top cross hybrid | 145β180 days | 33β47 bags/acre | GLS/rust/blight resistant, strong stalks (2001) | Ready |\n| KH600-16A | Top cross hybrid | 140β180 days | 35β48 bags/acre | MSV/GLS/rust/blight resistant (2001) | Ready |\n| KH600-17A | Varietal cross hybrid | 140β160 days | 37β51 bags/acre | GLS/blight resistant, strong stalks (2002) | Ready |\n| KH600-18A | Varietal hybrid | 155β170 days | 36β50 bags/acre | GLS/blight resistant, strong stalks (2004) | Ready |\n| KH600-19A | Double cross hybrid | 160β175 days | 38β53 bags/acre | GLS/blight resistant, strong stalks (2005) | Ready |\n| KH600-20A | Top cross hybrid | 160β180 days | 38β", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.5 Highlands (1800β2500 m asl, 1000β2000 mm rainfall)", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": " 160β175 days | 38β53 bags/acre | GLS/blight resistant, strong stalks (2005) | Ready |\n| KH600-20A | Top cross hybrid | 160β180 days | 38β55 bags/acre | GLS/rust/blight resistant, strong stalks, good husk cover (2005) | Ready |\n| KH600-21A | Top cross hybrid | 140β180 days | 38β62 bags/acre | GLS/rust/blight resistant, strong stalks, good husk cover (2006) | Ready |\n| KH600-22A | Top cross hybrid | 140β180 days | 40β66 bags/acre | GLS resistant, good husk cover, strong stalks (2006) | Ready |\n| KH600-24A | Top cross hybrid | 140β160 days | 47β69 bags/acre | GLS/rust/blight resistant, strong roots, good husk cover (2001) | Ready |\n| KH600-25A | Top cross hybrid | 140β165 days | 49β70 bags/acre | GLS/rust/blight resistant, good husk cover (2015) | Ready |\n| KH600-26A | Top cross hybrid | 142β170 days | 51β70 bags/acre | GLS/rust/blight resistant, good husk cover, strong stalks (2015) | Ready |\n| KH600-27A | Top cross hybrid | 145β175 days | 53β71 bags/acre | GLS/rust/blight resistant, good husk cover, strong stalks (2015) | Ready |\n| H614D | Top cross hybrid | 145β175 days | 30β35 bags/acre | Drought tolerant, GLS/rust/blight resistant (1986); Kenya Seed Co. | Ready |\n| H626 | Double cross hybrid | 160β180 days | 38β42 bags/acre | Rust/blight resistant, strong stalks, good husk cover (1989) | Ready |\n| H625 | Double cross hybrid | 155β180 days | 37β40 bags/acre | Rust/blight resistant, strong stalks, good husk cover (1981) | Ready |\n| H6213 | Double cross hybrid | 160β180 days", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.5 Highlands (1800β2500 m asl, 1000β2000 mm rainfall)", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": " hybrid | 155β180 days | 37β40 bags/acre | Rust/blight resistant, strong stalks, good husk cover (1981) | Ready |\n| H6213 | Double cross hybrid | 160β180 days | 52β56 bags/acre | GLS/rust/blight resistant, good husk cover (2002) | Ready |\n| H6218 | Double cross hybrid | 145β175 days | 56β71 bags/acre | GLS/rust/blight resistant, good husk cover (2004) | Ready |\n| H6210 | Double cross hybrid | 160β185 days | 50β53 bags/acre | GLS/rust/blight resistant, good husk cover (2004) | Ready |\n| H629 | Double cross hybrid | 160β175 days | 48β52 bags/acre | GLS/rust/blight resistant, good husk cover (2000) | Ready |\n| H628 | Double hybrid | 155β175 days | 46β50 bags/acre | GLS/rust/blight resistant, good husk cover (1999) | Ready |\n| H624 | Double cross hybrid | 135β150 days | 30β32 bags/acre | GLS/rust/blight resistant, early maturity (2004); 1600β2300 m | Ready |\n\n**Note:** H614D, H626, H625, H6213, H6218, H6210, H629, H628, H624 are licensed to **Kenya Seed Company** for basic and commercial seed production. KH600 series breeder seed is at KALRO-Kitale.", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.5 Highlands (1800β2500 m asl, 1000β2000 mm rainfall)", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.2.6 Special Kit β MLN Tolerant Varieties]\n| TIMP Name | Type | Key attributes | Status |\n|---|---|---|---|\n| WE5135 | 3-way hybrid | MLN tolerant (MCMV+SCMV) | Ready |\n| WE5139 | 3-way hybrid | MLN tolerant | Ready |\n| WE5140 | 3-way hybrid | MLN tolerant | Ready |\n| KATEH16-02 | 3-way hybrid | MLN tolerant | Ready |\n| KATEH16-03 | 3-way hybrid | MLN tolerant | Ready |\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.2.6 Special Kit β MLN Tolerant Varieties", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.3 Maize Seed System]\n| TIMP Name | Category | Status |\n|---|---|---|\n| Improved Farmer-Saved-Seed-System | Innovation | Requires validation |\n| Quality Declared Seed System (QDS) | Innovation | Requires validation |\n| Maize Formal Seed System | Innovation | Ready for upscaling |\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.3 Maize Seed System", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.4 GAPs and Food Safety]\n| TIMP Name | Category | Status |\n|---|---|---|\n| Food Safety Management System (HACCP) | Management practice | Ready for upscaling |\n| Good Agricultural Practices (GAPs) for maize | Management practice | Ready for upscaling |\n| Aflasafe KE01β’ | Technology | Requires validation |\n\n**Aflasafe KE01β’**: Pre-harvest bio-control agent that reduces aflatoxin contamination in maize by 80β99% at harvest and in storage. Applied 2β3 weeks before flowering at 10 kg/ha. Manufactured at KALRO-Katumani, distributed by Koppert Biological Systems. Cost: KES 201/kg.\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.4 GAPs and Food Safety", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.5 Agronomic Management Practices (all Ready for upscaling)]\n| TIMP | Key recommendation |\n|---|---|\n| Land preparation | One tractor plough + one harrow; or two animal draft ploughs |\n| Maize variety selection | Match variety to AEZ; use certified seed |\n| Planting spacing | Highland: 75Γ25 cm (1 plant); Medium: 75Γ30 cm; Dryland/coastal: 90Γ30 cm |\n| Intercropping | Maizeβlegume intercrop improves soil fertility and weed suppression |\n| Weeding | Hand weed 3 weeks after emergence; repeat 3 weeks later |\n| Basal fertilizer | 50 kg/acre DAP (neutral soils) or 100 kg/acre NPK 23:23:0 (acid soils) |\n| Top-dressing fertilizer | 50 kg/acre CAN at 8β10 leaf stage (45 cm height) |\n| Timely harvesting | Harvest at physiological maturity (black layer, leaves dried) |\n| Crop rotation | Rotate with legumes to replenish N; avoid same family consecutively |\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.5 Agronomic Management Practices (all Ready for upscaling)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β 2.6 Soil Fertility Management]\n| TIMP | Category | Status |\n|---|---|---|\n| Integrated Soil Fertility Management (ISFM) | Management practice | Requires validation |\n| Integrated Manure Management (IMM) | Management practice | Requires further research |\n| Rapid soil testing services (spectroscopy/Soil Cares) | Innovation | Requires validation |\n| Low-Cost Composting technology | Management practice | Requires validation |\n\n---", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "2.6 Soil Fertility Management", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\" β Key Cross-References]\n- Varieties for MLN-endemic areas β [[maize-lethal-necrosis]], section 2.2.6\n- Water harvesting in ASAL β [[water-harvesting-technologies]] (zai pits, contour bunds in sections 2.7)\n- KCSAP counties targeted β [[KCSAP]] (24 counties)\n- Seed system innovations β [[seed-systems]]\n- Lead station for highland varieties β KALRO-Kitale (FCRI, Centre Director D.O. Ligeyo)\n- Lead station for coastal varieties β KALRO-Mtwapa / KALRO-Katumani\n- Lead station for mid-altitude varieties β KALRO-Embu, KALRO-Katumani", | |
| "source": "wiki/sources/maize-timps-volume1.md", | |
| "title": "\"Inventory of CSA Technologies, Innovations and Management Practices for Maize Value Chain (KALRO/KCSAP, 2022)\"", | |
| "section": "Key Cross-References", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos]\n**Citation:** Ngie Mwende, M. (2019). *Effect of tied ridges, farmyard manure, nitrogen fertilizer, and cropping systems on soil moisture, soil properties, and maize yield in Machakos County.* PhD thesis, Kenyatta University.", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Overview]\nFour-season factorial experiment at KALRO Katumani examining the combined effects of tied ridges (water harvesting), farmyard manure (FYM), nitrogen fertilizer, and cropping system (maize monocrop vs. maize-cowpea intercrop) on soil moisture, soil properties, and maize grain yield. Funded by Kenyatta University/NRF/ASERECA.", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Experimental Design]\n- **Design:** 2Γ4Γ2 factorial RCBD\n- **Factor 1:** Tillage β tied ridge vs. flat bed\n- **Factor 2:** Fertility β FYM 0 or 5 t/ha Γ CAN 0 or 20 kg N/ha (4 combinations)\n- **Factor 3:** Cropping system β maize monocrop vs. maize-cowpea intercrop\n- **Site:** KALRO Katumani, Machakos County\n- **Duration:** 4 seasons", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Experimental Design", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Best Treatment (SR2015)]\n- **Flat bed + FYM 5 t/ha + cowpea intercrop β 3.59 t/ha maize grain** (165.93% over control)\n- Note: Flat bed (not tied ridge) was best in this high-rainfall season", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Best Treatment (SR2015)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Tied Ridges]\n- Tied ridges outperformed flat beds in **low-rainfall seasons** by retaining soil moisture at rooting depth\n- In high-rainfall seasons, tied ridges showed no advantage and sometimes waterlogged", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Tied Ridges", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Cowpea Intercrop]\n- Cowpea intercrop consistently improved maize yield beyond monocrop, attributed to N-fixation and reduced evapotranspiration\n- Synergistic with FYM application", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Cowpea Intercrop", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Soil Properties]\n- FYM + tied ridges improved soil organic carbon, bulk density, and water-holding capacity over time", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Soil Properties", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\" β Implications]\n- Tied ridges are conditionally beneficial β most valuable in dry seasons/years\n- Maize-cowpea intercrop + FYM is an accessible, low-input improvement over monoculture in semi-arid Kenya\n- Connects to [[water-harvesting-technologies]] (tied ridges) and [[soil-water-management]]\n- Contrasts with [[water-harvesting-katumani]] (ngolo pits + DAP) β different WH technologies, overlapping geography", | |
| "source": "wiki/sources/tied-ridges-soil-moisture-machakos.md", | |
| "title": "\"Tied Ridges, FYM, and Nitrogen on Soil Moisture and Maize Yield in Machakos (Ngie Mwende, 2019)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β MCMV Seed Contamination and Transmission in Kenyan Commercial Seed]\n**Citation:** Kimani, et al. (2021). Maize lethal necrosis: Seed contamination and transmission of Maize chlorotic mottle virus in Kenyan commercial hybrid seed lots. *Plant Health Progress*, 22:496β502.", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "MCMV Seed Contamination and Transmission in Kenyan Commercial Seed", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β Overview]\nEmpirical study quantifying MCMV contamination rates in 4 commercial hybrid seed lots available in Kenya and measuring seed-to-seedling transmission rates under controlled conditions. Collaboration: KALRO-Kabete / KEPHIS / University of Nairobi / Iowa State University / CIMMYT. Funded by BMGF / CGIAR MAIZE.", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β Methodology]\n- **Seed lots tested:** 4 commercial Kenyan hybrid seed lots (coded K27, B, and 2 others)\n- **Contamination detection:** DAS-ELISA on whole seeds\n- **Transmission bioassay:** Planting contaminated seeds and testing seedlings\n - 37,617 seedlings tested by DAS-ELISA\n - 8,322 seedlings tested by RT-PCR\n - 7,846 seedlings from mechanically inoculated plants", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β Seed Contamination Rates (DAS-ELISA, whole seeds)]\n| Seed lot | Contamination rate |\n|---|---|\n| K27 | 4.9% |\n| B | 15.93% |\n| Average across lots | 8.75% |", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "Seed Contamination Rates (DAS-ELISA, whole seeds)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β Seed-to-Seedling Transmission Rates]\n| Method | Transmission rate |\n|---|---|\n| DAS-ELISA (37,617 seedlings) | 0β0.57% |\n| RT-PCR (8,322 seedlings) | 0.025% |\n| From mechanically inoculated plants | 0.04% overall |", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "Seed-to-Seedling Transmission Rates", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β Key Insight: Population-Level Risk]\n- Transmission rate appears low (0.025β0.57%) but at 55,000 seeds/ha: even 0.025% β ~14 infected seedlings per hectare as initial inoculum sources\n- Low but significant β infected seedlings become foci for vector (thrips) spread", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "Key Insight: Population-Level Risk", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\" β Implications]\n- Commercial seed is a documented (if inefficient) route for MCMV introduction to new areas\n- DAS-ELISA on whole seeds overestimates contamination vs. RT-PCR on seedlings (surface contamination β true seed transmission)\n- Seed health testing using pool testing protocols recommended for seed certification\n- Connects to [[maize-lethal-necrosis]] spread dynamics and [[mln-resistance-screening]] for control\n- KEPHIS should incorporate MCMV testing into seed certification protocols", | |
| "source": "wiki/sources/mcmv-seed-transmission.md", | |
| "title": "\"MCMV Seed Contamination and Transmission in Kenyan Commercial Seed (Kimani et al., 2021)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\" β KALRO/KCSAP Training of Trainers Manual for Maize Value Chain]\n**Citation:** Musila, et al. (2021). *Training of Trainers Manual for Maize Value Chain.* KALRO/KCSAP. July 2021.", | |
| "source": "wiki/sources/kcsap-training-manual.md", | |
| "title": "\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\"", | |
| "section": "KALRO/KCSAP Training of Trainers Manual for Maize Value Chain", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\" β Overview]\nOfficial Training of Trainers (ToT) manual developed by KALRO for the Kenya Climate Smart Agriculture Project ([[KCSAP]]) maize value chain component. Covers the full maize production system from climate-smart agronomics to post-harvest and marketing. Targets 24 KCSAP counties. Published by KALRO Secretariat.", | |
| "source": "wiki/sources/kcsap-training-manual.md", | |
| "title": "\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\" β Program Context]\n- **KCSAP** = Kenya Climate Smart Agriculture Project (GoK + World Bank, 5 years, KES 25 billion)\n- Training approach: Farmer Field Business School (FFBS) model\n- Target: County and sub-county extension officers as primary trainers", | |
| "source": "wiki/sources/kcsap-training-manual.md", | |
| "title": "\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\"", | |
| "section": "Program Context", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\" β Manual Structure (14 Modules, ~66 hours total)]\n| # | Module | Key Topics |\n|---|---|---|\n| 1 | Climate Change & CSA | Climate impacts on maize, CSA principles |\n| 2 | FFBS Approach | Facilitation methods, adult learning |\n| 3 | GAPs & FSMS | Good Agricultural Practices, food safety |\n| 4 | Production Niches | Agroecological zone mapping |\n| 5 | Variety Selection | KALRO released varieties, seed systems |\n| 6 | Seed Systems | Certified seed, agro-dealers, seed quality |\n| 7 | Climate-Smart Agronomics | Planting density, date, input management |\n| 8 | Integrated Soil & Water Management | Soil fertility, water harvesting |\n| 9 | Crop Health | IPM, MLN, common diseases/pests |\n| 10 | Harvesting & Post-Harvest | Drying, shelling, storage |\n| 11 | Value Addition | Processing, fortification |\n| 12 | Mechanization | Two/four-wheel tractor use |\n| 13 | Business & Marketing | Cost-benefit analysis, market linkages |\n| 14 | Cross-Cutting Issues | AIPs, gender, policy, nutrition |", | |
| "source": "wiki/sources/kcsap-training-manual.md", | |
| "title": "\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\"", | |
| "section": "Manual Structure (14 Modules, ~66 hours total)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\" β Implications]\n- Provides the extension curriculum backbone for KCSAP maize activities\n- [[climate-smart-agriculture]] principles are mainstreamed across all modules, not siloed\n- FFBS approach contrasts with top-down model critiqued in [[kcep-cral-communication-stakeholders]]\n- Variety selection module links to [[hybrid-breeding]] and KALRO released varieties\n- Soil & water module aligns with [[water-harvesting-technologies]] evidence base", | |
| "source": "wiki/sources/kcsap-training-manual.md", | |
| "title": "\"KALRO/KCSAP Training of Trainers Manual for Maize Value Chain (Musila et al., 2021)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\" β Stakeholder Involvement in KCEP-CRAL Communication Plans]\n**Citation:** Muli, M., Sakwa, L., & Chakava, P. (2024). Stakeholder involvement in communication plans of KCEP-CRAL project in Machakos, Makueni, and Kitui Counties. *International Journal of Current Practice and Review (IJCPR)*, 9(4).", | |
| "source": "wiki/sources/kcep-cral-communication-stakeholders.md", | |
| "title": "\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\"", | |
| "section": "Stakeholder Involvement in KCEP-CRAL Communication Plans", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\" β Overview]\nQualitative study examining the degree to which stakeholders (farmers, extension officers, scientists) were involved in developing communication plans for the [[KCEP-CRAL]] project in three arid/semi-arid counties of Kenya.", | |
| "source": "wiki/sources/kcep-cral-communication-stakeholders.md", | |
| "title": "\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\" β Methodology]\n- Sample: 125 farmers (12 focus group discussions), 11 Agricultural Extension Officers (AEOs), 3 scientists\n- Counties: Machakos, Makueni, Kitui\n- Theoretical framework: Freire's dialogic action theory\n- Approach: Semi-structured interviews and FGDs", | |
| "source": "wiki/sources/kcep-cral-communication-stakeholders.md", | |
| "title": "\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\" β Key Findings]\n- Technology adoption rate in KCEP-CRAL was below 30%, attributed partly to poor participatory communication\n- Communication plans were largely top-down; farmers and AEOs had limited involvement in plan design\n- AEOs served mainly as message transmitters rather than co-designers\n- Scientists drove communication content without adequate feedback loops from end-users\n- Gap between recommended practices and farmer realities widened where dialogic communication was absent", | |
| "source": "wiki/sources/kcep-cral-communication-stakeholders.md", | |
| "title": "\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\"", | |
| "section": "Key Findings", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\" β Implications]\n- [[participatory-communication]] approaches aligned with Freire's model (dialogue, co-creation) are needed to improve adoption\n- Extension systems should integrate farmer knowledge into program design, not just delivery\n- Applies to [[KCSAP]] and similar programs in ASAL regions", | |
| "source": "wiki/sources/kcep-cral-communication-stakeholders.md", | |
| "title": "\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\" β Limitations]\n- Qualitative study; findings not statistically generalizable\n- Three counties only; may not represent all KCEP-CRAL geographies", | |
| "source": "wiki/sources/kcep-cral-communication-stakeholders.md", | |
| "title": "\"Stakeholder Involvement in KCEP-CRAL Communication Plans (Muli et al., 2024)\"", | |
| "section": "Limitations", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\" β Effect of Planting Dates on Maize Yield at Ol Joro Orok]\n**Citation:** Onyango, et al. (2015). Effect of planting dates on maize (*Zea mays* L.) yield at Ol Joro Orok, Kenya. *[Journal not specified in source]*.", | |
| "source": "wiki/sources/planting-dates-ol-joro-orok.md", | |
| "title": "\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\"", | |
| "section": "Effect of Planting Dates on Maize Yield at Ol Joro Orok", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\" β Overview]\nField study at KALRO Ol Joro Orok research station examining the effect of different planting dates on maize yield in the Upper Highland agroecological zone. Funded by ICRISAT/KALRO.", | |
| "source": "wiki/sources/planting-dates-ol-joro-orok.md", | |
| "title": "\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\" β Site Description]\n- **Location:** KALRO Ol Joro Orok (0.04Β°S, 36.35Β°E)\n- **Altitude:** 2,400 m asl\n- **Agroecology:** Upper Highland 2β3 (UH2-3)\n- **Rainfall pattern:** Bimodal", | |
| "source": "wiki/sources/planting-dates-ol-joro-orok.md", | |
| "title": "\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\"", | |
| "section": "Site Description", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\" β Methodology]\n- **Variety:** DK8031 (commercial hybrid)\n- **Season:** Long Rains 2013 (LR2013)\n- **Treatments:** Multiple planting date windows", | |
| "source": "wiki/sources/planting-dates-ol-joro-orok.md", | |
| "title": "\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\" β Key Findings]\n- **Yield difference between optimal and late planting:** 23.6% (p<0.05) in LR2013\n- **Rainfall during critical period:** Early planting (optimal timing) received 172% more rainfall during silking-to-maturity stage compared to late planting\n- Silking-to-maturity water stress is the primary mechanism explaining yield losses under late planting", | |
| "source": "wiki/sources/planting-dates-ol-joro-orok.md", | |
| "title": "\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\"", | |
| "section": "Key Findings", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\" β Implications]\n- Timely planting is critical in upper highland environments where growing season length is constrained\n- The 172% rainfall difference at silking highlights the role of phenological alignment with rainfall distribution\n- Connects to [[agronomic-factors-yield]] β planting date management can substantially improve yields without additional inputs\n- Relevant for [[climate-variability]] discussions: shifts in onset of rains make optimal planting date targeting increasingly important", | |
| "source": "wiki/sources/planting-dates-ol-joro-orok.md", | |
| "title": "\"Effect of Planting Dates on Maize Yield at Ol Joro Orok (Onyango et al., 2015)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\" β In Situ Water Harvesting Technologies at KALRO Katumani]\n**Citation:** Wafula, et al. (2022). In situ water harvesting technologies and fertilizer management for improved maize and bean productivity in semi-arid environments. *Tropical and Subtropical Agroecosystems*, 25:#110.", | |
| "source": "wiki/sources/water-harvesting-katumani.md", | |
| "title": "\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\"", | |
| "section": "In Situ Water Harvesting Technologies at KALRO Katumani", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\" β Overview]\nMulti-season evaluation of in situ water harvesting (WH) technologies combined with fertilizer strategies for maize-bean systems at KALRO Katumani in semi-arid Machakos County. Funded by [[KCEP-CRAL]].", | |
| "source": "wiki/sources/water-harvesting-katumani.md", | |
| "title": "\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\" β Experimental Design]\n- **Design:** Split-split plot RCBD\n- **Site:** KALRO Katumani\n- **Seasons:** Multiple (best result SR2019)\n- **Main plots:** WH technologies β zai pits, ngolo pits, contour furrows, conventional tillage (control)\n- **Sub-plots:** Fertilizer types β 100 kg/ha DAP, 50 kg/ha DAP + goat manure, 5 t/ha manure only, control (no fertilizer)\n- **Varieties:** Katumani KDV4 (maize), KATB1 (beans)", | |
| "source": "wiki/sources/water-harvesting-katumani.md", | |
| "title": "\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\"", | |
| "section": "Experimental Design", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\" β Key Findings]\n- **Best combination:** Ngolo pits + 100 kg/ha DAP β maize grain yield 4.52 t/ha (SR2019)\n- Ngolo pits outperformed zai pits and contour furrows for water retention in most seasons\n- Organic manure alone (5 t/ha) gave lower yields than mineral fertilizer combinations\n- Combined DAP + goat manure showed synergistic effect on soil fertility\n- Bean yields also improved under WH + fertilizer combinations", | |
| "source": "wiki/sources/water-harvesting-katumani.md", | |
| "title": "\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\"", | |
| "section": "Key Findings", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\" β Technology Descriptions]\n| Technology | Description |\n|---|---|\n| Zai pits | Small planting pits (~30 cm diameter), filled with manure; common in West Africa |\n| Ngolo pits | Larger pits with earthen bunds; Kenyan adaptation for water concentration |\n| Contour furrows | Furrows along contour lines to slow runoff |\n| Conventional tillage | Standard flat-bed plowing (control) |", | |
| "source": "wiki/sources/water-harvesting-katumani.md", | |
| "title": "\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\"", | |
| "section": "Technology Descriptions", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\" β Implications]\n- Ngolo pits + DAP is recommended for ASAL smallholders in semi-arid Kenya\n- [[water-harvesting-technologies]] combined with inorganic fertilizer outperform organic-only approaches at this site\n- Results support KCEP-CRAL technology packages for Machakos/Makueni/Kitui", | |
| "source": "wiki/sources/water-harvesting-katumani.md", | |
| "title": "\"In Situ Water Harvesting Technologies at KALRO Katumani (Wafula et al., 2022)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Agronomic Performance of Single Crosses at KALRO Muguga and Embu]\n**Citation:** Njoka, S. W., & Kariuki, J. M. (2017). Agronomic performance of single crosses of maize (*Zea mays* L.) developed from KALRO Muguga inbred lines. *Journal of Applied Life Sciences International (JALSI)*, 12(1):1β8.", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Agronomic Performance of Single Crosses at KALRO Muguga and Embu", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Overview]\nField evaluation of 36 single crosses derived from 18 KALRO Muguga inbred lines at two sites (Muguga and Embu), assessing yield potential and disease reaction. Companion to the [[combining-ability-kalro-muguga-thesis]] study.", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Germplasm]\n18 inbred lines tested: MUL508, MUL513, MUL516, MUL521, MUL541, MUL688, MUL114, MUL141, MUL531, MUL533, MUL536, CN244, POPA, and others.", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Germplasm", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Experimental Design]\n- 36 single cross hybrids evaluated at KALRO Muguga and KALRO Embu\n- Two environments; standard agronomic trial design", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Experimental Design", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Key Findings]\n- **Top hybrid at Muguga:** MUL516ΓMUL508 β 11.9 t/ha\n- **Top hybrid at Embu:** MUL541ΓPOPA β 6.9 t/ha\n- MSV (Maize Streak Virus) score = 1 (excellent resistance across genotypes)\n- GLS (Gray Leaf Spot) more prevalent at Muguga than Embu\n- Significant GEI (genotype Γ environment interaction) β different top hybrids at each site", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Key Findings", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Implications]\n- MUL516 and MUL508 are high-priority parents for highland single cross development\n- POPA shows strong combining ability (also supported by GCA analysis in companion thesis)\n- Site-specific variety recommendations needed given GEI\n- Relates to [[genotype-environment-interaction]] and [[hybrid-breeding]] concepts", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\" β Relationship to Other Sources]\n- [[combining-ability-kalro-muguga-thesis]] (Kariuki 2015): GCA/SCA analysis of the same inbred lines, providing mechanistic explanation for performance differences seen here", | |
| "source": "wiki/sources/single-crosses-kalro-muguga-embu.md", | |
| "title": "\"Agronomic Performance of Single Crosses at KALRO Muguga and Embu (Njoka & Kariuki, 2017)\"", | |
| "section": "Relationship to Other Sources", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β KALRO-KCEP Maize Training and Extension Manual (2016)]\n**Full title:** The Kenya Cereal Enhancement Programme (KCEP) β Adaptation and Dissemination of Available Technologies for Smallholder Adoption: KALRO-KCEP Maize Training and Extension Manual\n\n**Published:** April 2016\n\n**Funded by:** European Union (EU) through IFAD, Ministry of Agriculture, Livestock and Fisheries (MoALF) in collaboration with KALRO-KCEP\n\n**Purpose:** Training module for extension officers, lead farmers and service providers on maize production along the value chain, with gender participation emphasis.", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "KALRO-KCEP Maize Training and Extension Manual (2016)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Background]\n- Maize is Kenya's staple food; contributes ~65% of daily per capita cereal consumption\n- Grown on an estimated 1.4 million hectares nationwide\n- Accounts for >20% of total agricultural production and 25% of agricultural employment\n- KCEP focus area: 5 implementing counties in Western Region (Trans Nzoia, Nandi, Nakuru, Kakamega, Bungoma)", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Background", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Training Objectives]\n1. Train extension officers and stakeholders to enhance maize productivity\n2. Empower farmers along the maize value chain for food security\n3. Increase commercialization of maize\n4. Promote gender inclusion in maize production", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Training Objectives", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.1 Variety Selection]\nFarmers should use certified hybrid seeds suited to their agro-ecological zone (AEZ). Disease-tolerant varieties recommended:\n- **H6218** β tolerant to leaf blight\n- **H6213**, **H6210** β tolerant to grey leaf spot\n\n**Table 1: Maize varieties for KCEP implementing counties (Western Region)**\n\n| Variety | Source | AEZ | KCEP Counties | Maturity (days) | Yield (90 kg bags/acre) |\n|---|---|---|---|---|---|\n| H6213 | Kenya Seed Company | Highlands | Trans Nzoia, Nandi, Nakuru, Kakamega, Bungoma | 160β210 | 50 |\n| H6210 | Kenya Seed Company | Highlands | Trans Nzoia, Nandi, Nakuru, Kakamega, Bungoma | 160β210 | 45 |\n| H629 | Kenya Seed Company | Highlands | Trans Nzoia, Nandi, Kakamega, Bungoma | 160β210 | 43 |\n| KH600-23A | ADC | Highlands | β | 140β175 | 56 |\n| H614D | Kenya Seed Company | Highlands | β | β | β |", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.1 Variety Selection", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.1.2 Seed Selection and Treatment]\n- Use certified seeds only\n- Conduct germination test before planting (count 100 seeds between damp paper; >85% germination is acceptable)", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.1.2 Seed Selection and Treatment", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.2 Field Operations]\n**2.2.1 Land preparation**\n- Conventional methods: hand, ox-plough, tractor\n- Conservation Agriculture (CA): herbicide spray + crop residue management\n- Prepare early enough for weeds to dry and decompose before planting\n\n**Planting time:** Within the first two weeks of onset of rains. Early planting benefits from nitrogen flux, warm soil temperatures, better aeration, and escape from pests/diseases.\n\n**Planting depth:** 2.5β5 cm\n\n**Recommended spacing and plant density:**\n\n| Region | Spacing | Density (plants/ha) |\n|---|---|---|\n| Highland | 75 Γ 25 cm (1 plant/hill) | ~53,000 |\n| Highland | 75 Γ 50 cm (2 plants/hill) | ~53,000 |\n| Midland | (varies by county) | β |", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.2 Field Operations", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.2.x Pest Management]\n**Field pests and control (Table 4):**\n\n| Pest | Symptoms | Control |\n|---|---|---|\n| Maize stem borers | Caterpillars cause dead hearts; bore into stems | Intercrop with non-host crops or desmodium; trap crops; biological control; recommended insecticides |\n| Maize leafhoppers | Slender hoppers; transmit maize streak virus | Insecticides; resistant varieties |\n| Cutworms | Cut seedlings at/below ground | Seed dressing; bait on ground |", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.2.x Pest Management", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.2.x Disease Management]\n**Selected maize diseases (Table 5):**\n\n| Disease | Symptoms | Control |\n|---|---|---|\n| Downy mildew | White/yellow leaf stripes; stunting; no yield | Early planting; crop rotation; resistant varieties |\n| Northern Corn Leaf Blight | Chlorotic \"halo\" β cigar-shaped necrotic lesions | Resistant varieties; fungicides |\n| Common smut | Galls on all plant parts; black spores | Field hygiene; resistant varieties; avoid injury |\n| Head smut | Internal infection; symptoms at tasseling/silking | Resistant varieties; crop rotation |", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.2.x Disease Management", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.2.7 Harvesting]\n- **Green maize:** Harvest when grain hardens or silky flowering turns black\n- **Dried maize:** Recommended moisture content for storage: **13%**", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.2.7 Harvesting", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β 2.3.1 Seed/grain drying]\n- Dry on cob or after shelling\n- Suitable surfaces: cemented floor, mats, tarpaulins, raised cribs, drying sheds\n- **Do not dry on bare ground** (picks up moisture, dirt, insects)\n- Protect from rain and night dew", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "2.3.1 Seed/grain drying", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Section 2.4: Maize Storage Pests]\n**Storage pests of economic importance (Table 6):**\n\n| Pest | Damage | Control |\n|---|---|---|\n| Larger Grain Borer (LGB) | Bores into husks/cobs; produces grain dust | Early harvest/drying; cleaned storage; Neem/pyrethrum/castor oil plant extracts |\n| Weevils | Bore into grain kernels | Hermetic storage; botanical pesticides; synthetic insecticides |", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Section 2.4: Maize Storage Pests", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Section 2.5: Mould and Aflatoxin Control]\n- Aflatoxin caused by *Aspergillus* species moulds\n- **Cooking/heating cannot destroy aflatoxins**\n- Control: dry grain quickly after harvest to 12β15% moisture; ensure good ventilation\n- Cross-reference: Aflasafe KE01β’ is a biocontrol product for aflatoxin management (see [[maize-timps-volume1]])", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Section 2.5: Mould and Aflatoxin Control", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Section 2.6: Utilization and Value Addition]\n1. Maize flour (ugali), consumed fresh/ground/boiled\n2. Stalks, leaves, cob residues for dairy cattle feed\n3. Stalks and cobs as domestic fuel / organic matter\n4. Industrial uses: starch, oil, livestock feed", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Section 2.6: Utilization and Value Addition", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Moisture content determination]\n- Use moisture meter if available\n- **Salt test (no equipment needed):** Fill 750 ml bottle 1/3 with grain, add 20β30 g dry salt, shake vigorously 1 min, leave 15 min. If salt sticks to bottle β moisture >15% (not safe for storage). If salt doesn't stick β moisture <15% (safe for storage).\n- **Biting grain method:** Also usable when no equipment available.", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Moisture content determination", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KALRO-KCEP Maize Training and Extension Manual (2016)\" β Key Takeaways for Chatbot]\n- Practical field-level guide for KCEP extension in Western Kenya highlands\n- Contains variety recommendations specific to Trans Nzoia, Nandi, Nakuru, Kakamega, Bungoma\n- Provides concrete spacing, planting time, storage moisture thresholds\n- Salt test is a low-tech aflatoxin/moisture indicator accessible to smallholders\n- Complements [[kcsap-training-manual]] (later 2021 KCSAP manual covering 24 counties) and [[maize-timps-volume1]] (full TIMPs inventory)", | |
| "source": "wiki/sources/kcep-maize-training-manual-2016.md", | |
| "title": "\"KALRO-KCEP Maize Training and Extension Manual (2016)\"", | |
| "section": "Key Takeaways for Chatbot", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (2021)]\n**Full title:** The Kenya Cereals Enhancement Programme β Climate Resilient Agricultural Livelihoods (KCEP-CRAL) Window: Farmers' Extension Handbook β Cereals and Pulses\n\n**Published:** April 2021 by KALRO\n\n**Funded by:** European Union (EU) and Adaptation for Smallholder Agriculture Programme (ASAP) via IFAD\n\n**Scope:** Practical field-level extension guide covering maize, sorghum, millet, common beans, green grams, pigeon peas, and cowpeas; with chapters on climate-smart agriculture, soil fertility, water management, and farming as a business.\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (2021)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β Overview]\nAgriculture contributes 33% of Kenya's GDP directly, 27% indirectly, and 65% of export earnings. The handbook addresses climate change adaptation for smallholder farmers in KCEP-CRAL counties, emphasising climate-smart agriculture (CSA) across all value chains.\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 1.2 Climate-Smart Agriculture (CSA)]\nThree pillars (Table 1.1):\n\n| Pillar | Practices |\n|---|---|\n| **Productivity** | Improved crop varieties, crop rotation, intercropping, relay cropping, IPM |\n| **Adaptation** | Mulching, improved fallows, water harvesting, drip irrigation, agroforestry |\n| **Mitigation** | Conservation tillage, reduced burning, improved manure handling |", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "1.2 Climate-Smart Agriculture (CSA)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 1.4 Conservation Agriculture (CA) Principles]\n- **Minimum soil disturbance** β improves water infiltration, builds organic matter, reduces costs\n- **Permanent soil cover** β crop residues, cover crops (cowpeas), tree biomass\n- **Crop rotation/diversification** β breaks pest/disease cycles", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "1.4 Conservation Agriculture (CA) Principles", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 1.5 Soil and Water Conservation]\n- Water conservation vs. rainwater harvesting (RWH): SWC retains water in situ; RWH diverts runoff to another location\n- Techniques: retention ditches, grass strips (Napier/natural grasses), check dams, terraces, zai pits, bunds\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "1.5 Soil and Water Conservation", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 2.5 Plant Nutrients and Roles]\n17 elements required; key ones from soil:\n\n| Nutrient | Key Functions | Deficiency Symptoms |\n|---|---|---|\n| Nitrogen (N) | Vegetative growth, protein, chlorophyll | Yellowing of lower leaves; stunted growth |\n| Phosphorus (P) | Root development, energy transfer | Purple/reddish discolouration; poor root growth |\n| Potassium (K) | Moisture stress tolerance, grain quality, disease resistance | Edge necrosis on leaves; lodging |\n| Zinc (Zn) | Enzyme activation | White/bleached bands along leaf midrib (maize) |", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "2.5 Plant Nutrients and Roles", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 2.8 Chemical vs. Organic Fertilizers]\nChemical fertilizers: quick-release, rich in NPK, tend to cake, nitrate-based types explosive if mishandled.\n\nOrganic: slower release, improve soil structure and moisture retention; recommended at 15β20 tons/ha FYM.", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "2.8 Chemical vs. Organic Fertilizers", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 2.12 Soil Moisture Conservation Methods]\n- Manure/compost spreading, mulching, conservation tillage, crop rotation\n- Zai pits and bunds for water harvesting in ASALs\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "2.12 Soil Moisture Conservation Methods", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 4.1 Maize]\n**Agro-ecological requirements:**\n- Soil: loamy, pH 5.0β7.0\n- Temperature: optimum 30Β°C\n- Rainfall: as per zone (highland to dryland)\n\n**Variety table (Table 4.2) β abridged:**\n\n| Variety | Source | AEZ | Maturity (days) | Yield (90 kg bags/acre) |\n|---|---|---|---|---|\n| PAN4M-19 | PANNAR | Dry lands | 90β110 | 25 |\n| PH4 | Kenya Seed Company | Coastal Lowlands | 100β120 | 24 |\n| PH1 | Kenya Seed Company | Coastal Lowlands | 95β110 | 22 |\n| SY594 | Syngenta | Coastal Lowlands | 110β120 | 24 |\n| DH04 | Kenya Seed Company | Moist Mid-Altitude | 110β120 | 16 |\n| TOSHEKA | East Africa Seed | Moist Mid-Altitude | 100β110 | 24 |\n| DK8033 | BAYER | Moist Mid-Altitude | 120β130 | 38 |\n| DK777 | BAYER | Moist Mid-Altitude | 120β180 | 40 |\n| KH500-43A | East Africa Seed | Moist Mid-Altitude | 100β130 | β |\n| TSAVO3106 | Gicheha Farm Limited | Moist Mid-Altitude | 100β150 | 32 |\n\n**Planting spacing (Table 4.5):**\n\n| Region | Spacing | Density (plants/acre) |\n|---|---|---|\n| Highland | 75Γ25 cm, 1 plant/hill (pure stand) | 21,333 |\n| Highland | 75Γ50 cm, 2 plants/hill (intercrop) | 21,333 |\n| Medium | 75Γ30 cm, 1 plant/hill (pure stand) | 17,778 |\n| Medium | 75Γ60 cm, 2 plants/hill (intercrop) | 11,778 |\n| Dry land | 90Γ30 cm, 1 plant/hill", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "4.1 Maize", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": "ill (pure stand) | 17,778 |\n| Medium | 75Γ60 cm, 2 plants/hill (intercrop) | 11,778 |\n| Dry land | 90Γ30 cm, 1 plant/hill (pure stand) | 15,140 |\n| Dry land | 90Γ60 cm, 2 plants/hill (intercrop) | 15,140 |\n\n**Land preparation (Table 4.3):**\n- Conventional (virgin land): plough twice + harrow; or plough once β₯3 months before planting + 2 harrows\n- Conservation Agriculture: spray recommended herbicide + crop residue retention\n\n**Weed management:** First weeding 2β3 weeks after emergence; herbicides as pre-emergent option.\n\n**Crop rotation:** Rotate with pulses (beans, cowpeas, peas); avoid rotating with other cereals (sorghum, millet).\n\n#### 4.1.3 Crop Protection β Maize Pests and Diseases\n\n**Key pests:**\n\n| Pest | Symptom | Management |\n|---|---|---|\n| Fall Armyworm (FAW) | Inverted Y on caterpillar forehead; grey-black larvae | Neembicidine (100 ml/20 l); Belt (flubendazole); Voliam Targo (chlorantraniliprole, 5 ml/20 l); Engeo (thiamethoxam + lambda-cyhalothrin, 20 ml/20 l) |\n| Maize stem borers | Dead hearts; tunneling in stems | Intercrop with desmodium; trap crops; insecticides |\n| Maize leafhoppers | Transmit maize streak virus | Insecticides; resistant varieties |\n\n**Key diseases:**\n\n| Disease | Symptom | Management |\n|---|---|---|\n| Maize Lethal Necrosis (MLN) | Multiple chlorotic mottle patterns; plant death | Resistant varieties; rogue infected plants; spray Alpha-cypermethrin (20β30 ml/20 l) starting 1 month after planting |\n| Common smut (*Ustilago*) | Galls on tassels/ears/stalks | Crop rotation; field hygiene; resistant varieties |\n| Fusarium ear rot | White streaks on grain; mycotoxin risk | Control stem borers; early harvest; avoid mechanical injury |\n\n**Yield", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "4.1 Maize", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": "assels/ears/stalks | Crop rotation; field hygiene; resistant varieties |\n| Fusarium ear rot | White streaks on grain; mycotoxin risk | Control stem borers; early harvest; avoid mechanical injury |\n\n**Yield losses:** 30β100% reported from MLND and insect pests (p. 36).\n\n#### 4.1.4 Post-Harvest Management\n\n- **Green maize:** Harvest when grain hardens or silky flowering turns black\n- **Dried maize:** Harvest at physiological maturity; stook 2β4 weeks for further drying\n- **Shelling:** Immediately after harvest; manual or mechanical\n- **Moisture test (salt test):** Fill 750 ml bottle 1/3 with grain + 20β30 g dry salt; shake 1 min; leave 15 min. Salt sticking β >15% moisture (not safe). Salt not sticking β <15% (safe for storage).\n- **Storage:** Metallic silos or hermetic bags (Agro-Z bags). Target moisture content: 13%.\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "page": 0, | |
| "layer": "wiki", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "4.1 Maize", | |
| "page_type": "source-summary" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 4.2 Sorghum]\n**Agro-ecological requirements:** Clay-loamy soils, pH 5.0β8.5, 15β35Β°C, 250β900 mm rainfall, 500β2,500 masl altitude.\n\n**Soil fertility:** NPK (20:20:0, 23:23:0, or 17:17:17) β 50 kg/acre at planting; top-dress with CAN 50 kg/acre after first weeding.\n\n**Ratooning:** Cut plants 3 inches above ground immediately after harvest; well-established roots allow second season crop from regrowth.\n\n**Key diseases:** Long smut (seed-borne), covered smut, downy mildew, anthracnose.\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "4.2 Sorghum", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 4.3 Millet]\n**Types covered:** Pearl millet, finger millet, foxtail millet, proso millet.\n\n**Agro-ecological requirements:** Clay-loamy, pH 5.0β8.5, 15β30Β°C, 200β500 mm rainfall.\n\n**Varieties (Table 4.13 β finger millet):**\n\n| Variety | Maturity (months) | Grain colour | Yield (90 kg bags/acre) |\n|---|---|---|---|\n| P224 | 4 | Brown | 10β12 |\n| Gulu E | 4 | Brown | 8 |\n| KAT/FM-1 | 3 | Brown | 6β8 |\n| LANET FM-1 | 4 | Brown | 7β10 |\n\n**Proso:** KAT/PRO-1 (2.5 months, cream, 6β8 bags/acre)\n**Fox millet:** KAT/FOX-1 (4 months, cream-yellow, 8β10 bags/acre)\n\n**Soil fertility:** NPK (20:20:0 or 23:23:0) 50 kg/acre at planting; top-dress with CAN 50 kg/acre if rainfall extends beyond 30 days.\n\n**Intercropping:** Millet + pigeon peas or green grams; row arrangement: single alternate or two rows of millet : two rows of pulses (60 cm spacing).\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "4.3 Millet", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 5.1 Common Beans]\n**Agro-ecological requirements:** Silt loamy, pH 5.8β7.0, 18β30Β°C, 500β1,500 mm rainfall, 900β2,100 masl.\n\n**Varieties (Table 5.2):**\n\n| Variety | Source | Altitude (masl) | Maturity (months) | Yield (bags/acre) | Special Attributes |\n|---|---|---|---|---|---|\n| Mwitemania (GLP 92) | KALRO/KSC | 900β1,600 | 2β3 | 6β8 | Drought tolerant |\n| Rosecoco (GLP 2) | KALRO/KSC | 1,500β2,000 | 2β3 | 8β10 | High yield; wide adaptation |\n| Red Haricot (Wairimu) | KALRO/KSC | 1,500β1,800 | 2β3 | 6β8 | Susceptible to root rot |\n| KK 8 | KALRO | 1,500β1,800 | 2β3 | 8β10 | Tolerant to root rot |\n| Chelalang' | Egerton University | 500β1,... | β | β | β |\n\n**Soil fertility:** 15β20 tons/ha FYM; or 80 kg DAP/23:23:0/Mavuno per acre; thoroughly mix with soil before covering seed.", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "5.1 Common Beans", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 5.2 Green Grams]\n**Varieties:** N22/KVR22 (dryland); KS20 (improved, larger seeds, uniform ripening).\n\n**Storage moisture:** 12%.", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "5.2 Green Grams", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 5.3 Pigeon Peas]\n**Varieties:**\n\n| Variety | Maturity (days) | Yield (kg/acre) | Notes |\n|---|---|---|---|\n| Mbaazi 1 (ICPL 87091) | 105β120 | 400 (1 season); 800 (2 seasons) | Determinate; flowers in 55β70 days |\n| KAT 60/8 | β | β | Resistant to Fusarium wilt |\n| Peacock | β | β | β |\n| Mbaazi 2 | β | β | β |\n\n**County selections for semi-arid areas (2016β2020):** Kitui, Embu (Mbeere), Tharaka Nithi β Mbaazi 1 + KAT 60/8 (lower zone); Peacock/Mbaazi 2 (upper zone).\n\n**Storage:** Dry to 13% moisture; store with neem leaves, wood ash (4β6 kg/90 kg bag), or Actellic (50 g/90 kg bag); hermetic bags or airtight drums.", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "5.3 Pigeon Peas", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β 5.4 Cowpeas]\n**Varieties (Table 5.14):**\n\n| Variety | Altitude (masl) | Maturity (days) | Yield (90 kg bags/acre) | Attributes |\n|---|---|---|---|---|\n| Machakos 66 (M66) | 1,200β... | β | β | Drought tolerant |\n\n**Spacing (sole crop):** 60Γ20 cm.\n\n**Storage moisture:** 10%.\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "5.4 Cowpeas", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β Chapter 6: Farming as a Business]\n- Farming is a business requiring records of production, labour, cash flow, home consumption, and fixed assets\n- Market linkages, collective selling, and value addition are key for commercialisation\n- Risk management includes agricultural insurance (crop/livestock)\n\n---", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "Chapter 6: Farming as a Business", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\" β Key Takeaways for Chatbot]\n- Authoritative 2021 KCEP-CRAL field-level reference for multiple crops in ASAL/semi-arid Kenya\n- Contains the most comprehensive spacing tables (highland, medium, dryland) in the knowledge base\n- Covers Fall Armyworm (FAW) management with specific chemical recommendations β not covered in other sources\n- Includes sorghum, millet, beans, green grams, pigeon peas, cowpeas β complements maize-focused documents\n- Salt test moisture method and hermetic bag storage (Agro-Z bags) are practical post-harvest innovations\n- Pigeon pea county-level variety recommendations (Kitui, Embu, Tharaka Nithi) are unique to this document\n- Complements [[kcep-maize-training-manual-2016]] (2016 Western Kenya focus), [[kcsap-training-manual]] (KCSAP 2021), and [[maize-timps-volume1]] (TIMPs inventory)", | |
| "source": "wiki/sources/kcep-cral-farmers-extension-handbook-2021.md", | |
| "title": "\"KCEP-CRAL Farmers' Extension Handbook: Cereals and Pulses (KALRO/KCEP-CRAL, 2021)\"", | |
| "section": "Key Takeaways for Chatbot", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β Combining Ability of KALRO Muguga Inbred Lines]\n**Citation:** Kariuki, J. M. (2015). *Combining ability of inbred lines of maize (Zea mays L.) developed at KALRO Muguga.* MSc thesis, Kenyatta University.", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "Combining Ability of KALRO Muguga Inbred Lines", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β Overview]\nDiallel analysis of 18 KALRO Muguga inbred lines using Griffing (1956) Method 1 Model 1 to estimate General Combining Ability (GCA) and Specific Combining Ability (SCA) for grain yield and other agronomic traits. This work provides the genetic basis for [[single-crosses-kalro-muguga-embu]].", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β Germplasm]\n18 inbred lines: MUL508, MUL513, MUL516, MUL521, MUL541, MUL688, MUL114, MUL141, MUL531, MUL533, MUL536, CN244, POPA, and others.", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "Germplasm", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β Methodology]\n- **Mating design:** Griffing (1956) Method 1 Model 1 (full diallel including reciprocals)\n- **Sites:** KALRO Muguga and KALRO Embu\n- **Traits:** Grain yield, days to anthesis/silking, plant/ear height, ear aspect, disease scores", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β GCA (additive effects)]\n- **Best GCA for yield:** POPA β consistent best general combiner across sites\n- High GCA variance relative to SCA indicates additive gene action predominates", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "GCA (additive effects)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β SCA (non-additive / heterosis effects)]\n- **Best SCA crosses:** MUL508ΓMUL688, POPAΓMUL541, MUL513ΓMUL114\n- These crosses exploit heterotic groups for hybrid vigor", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "SCA (non-additive / heterosis effects)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\" β Implications]\n- POPA is a key parent line for KALRO Muguga breeding program\n- Additive gene action predominance suggests recurrent selection would be effective alongside hybrid development\n- [[combining-ability]] analysis using Griffing's method is standard for identifying promising parents in KALRO programs\n- Results directly inform crosses evaluated in [[single-crosses-kalro-muguga-embu]]", | |
| "source": "wiki/sources/combining-ability-kalro-muguga-thesis.md", | |
| "title": "\"Combining Ability of KALRO Muguga Inbred Lines (Kariuki, 2015)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\" β MLN Status and Farmer Perceptions in Kenya]\n**Citation:** Njeru, et al. (2022). Maize production systems, farmers' perception and current status of maize lethal necrosis in selected counties in Kenya. *All Life*, 15(1):692β705.", | |
| "source": "wiki/sources/mln-farmer-survey-kenya.md", | |
| "title": "\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\"", | |
| "section": "MLN Status and Farmer Perceptions in Kenya", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\" β Overview]\nCross-sectional survey of 406 farmers across 5 counties documenting field prevalence of [[maize-lethal-necrosis]] (MLN), pathogen detection rates by molecular methods, and farmer awareness/response practices.", | |
| "source": "wiki/sources/mln-farmer-survey-kenya.md", | |
| "title": "\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\" β Methodology]\n- **Sample:** 406 farmers\n- **Counties:** Bomet, Narok, Kirinyaga, Embu, Nakuru\n- **Disease detection:** RT-PCR (molecular); field prevalence by observation\n- **Farmer survey:** Structured questionnaire on MLN awareness, management practices, variety use", | |
| "source": "wiki/sources/mln-farmer-survey-kenya.md", | |
| "title": "\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\" β Disease Prevalence]\n- **Field prevalence:** 100% β MLN detected in every surveyed field\n- **Highest incidence by county:** Narok (90.67% of plants affected)\n- **MCMV detection rate:** 82% of sampled plants positive by RT-PCR\n- **SCMV detection rate:** 87% of sampled plants positive by RT-PCR", | |
| "source": "wiki/sources/mln-farmer-survey-kenya.md", | |
| "title": "\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\"", | |
| "section": "Disease Prevalence", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\" β Farmer Response]\n- **Average farmer yield:** Only 1.48 t/ha (severely below potential 6β8 t/ha)\n- **Improved variety use:** 87% of farmers plant improved varieties\n- **MLN management:** 74.8% of farmers do NOT actively control MLN\n- Low awareness of MLN as a distinct disease complex (confused with drought or poor soils)", | |
| "source": "wiki/sources/mln-farmer-survey-kenya.md", | |
| "title": "\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\"", | |
| "section": "Farmer Response", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\" β Implications]\n- Near-universal field presence of MLN in surveyed counties indicates epidemic status\n- Despite high improved variety adoption, MLN is suppressing yields β varietal resistance is needed (see [[mln-resistance-screening]])\n- 74.8% non-management rate suggests critical extension gap\n- Connects to [[participatory-communication]] β awareness campaigns and correct diagnosis needed at farm level\n- County-level variation (Narok worst) suggests localized hotspots requiring prioritized interventions", | |
| "source": "wiki/sources/mln-farmer-survey-kenya.md", | |
| "title": "\"MLN Status and Farmer Perceptions in Kenya (Njeru et al., 2022)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β Screening Maize Genotypes for MLN Tolerance]\n**Citation:** Karanja, et al. (2018). Screening of maize genotypes for tolerance to Maize Lethal Necrosis. *The Open Agriculture Journal*, 12:215β226.", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "Screening Maize Genotypes for MLN Tolerance", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β Overview]\nScreenhouse evaluation of 65 maize genotypes (MLN-designated breeding lines) for tolerance to [[maize-lethal-necrosis]] components MCMV and SCMV separately, using artificial inoculation and both DAS-ELISA (serological) and AUDPC (field scoring) methods. Conducted at KALRO-Kabete. Funded by KAPAP/CIMMYT.", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β Methodology]\n- **Genotypes:** 65 maize lines (MLN001βMLN065 series including CIMMYT breeding lines and checks)\n- **Inoculation:** Mechanical inoculation with MCMV and SCMV isolates from Bomet County\n- **Screening site:** KALRO-Kabete screenhouse\n- **Metrics:** DAS-ELISA (viral load), AUDPC (Area Under Disease Progress Curve from visual scores)\n- **Check:** Atlas sorghum (non-host control)", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β MCMV Tolerance (best performers)]\n- **MLN001 (CKDHL120918):** Best MCMV tolerance, AUDPC 270\n- **MLN006:** Second best\n- **Atlas (sorghum):** Included as non-host; not immune but lowest AUDPC", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "MCMV Tolerance (best performers)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β SCMV Resistance (best performers)]\n- **MLN042:** Best SCMV resistance, AUDPC 286\n- **MLN041:** Second best", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "SCMV Resistance (best performers)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β MLN Tolerance (combined)]\n- **MLN013 (CKDHL120312):** Validated as MLN-tolerant (both viruses)\n- **MLN001:** Also validated for MLN tolerance\n- No genotype was immune to MLN; all showed some infection under artificial inoculation", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "MLN Tolerance (combined)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β Correlation]\n- DAS-ELISA viral load correlated with AUDPC scores, validating both methods for screening", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "Correlation", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\" β Implications]\n- MLN001 and MLN013 are priority lines for integration into KALRO and CIMMYT breeding programs\n- AUDPC is a reliable field proxy for virus titre in MLN screening\n- No immunity exists β tolerance (reduced symptom severity) is the achievable target\n- Connects to [[mln-farmer-survey-kenya]] β field epidemic documented; these lines offer a genetic solution\n- Relates to [[mcmv-seed-transmission]] β resistant parents reduce risk in seed systems", | |
| "source": "wiki/sources/mln-resistance-screening.md", | |
| "title": "\"Screening Maize Genotypes for MLN Tolerance (Karanja et al., 2018)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Multilocation Evaluation of KALRO Three-Way Cross Hybrids]\n**Citation:** Masila, B. M., & Langat, S. K. (2020). Multilocation evaluation for yield and yield stability of three-way cross maize (*Zea mays* L.) hybrids developed at KALRO. *International Journal of Scientific Research in Biological Sciences (IJSRBS)*, 7(1):72β78.", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Multilocation Evaluation of KALRO Three-Way Cross Hybrids", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Overview]\nMulti-environment trial of 20 KALRO three-way cross (TWC) hybrids plus 4 commercial checks across 4 KALRO stations in contrasting agroecologies. Used AMMI, GGE biplot, and joint regression analyses to assess yield stability.", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Experimental Design]\n- **Genotypes:** 20 KALRO TWC hybrids + 4 commercial checks (24 total)\n- **Sites:** KALRO Kakamega (high rainfall), KALRO Katumani (semi-arid), KALRO Kiboko (arid), KALRO Kitui (semi-arid)\n- **Design:** Alpha lattice, 3 replications, 2 seasons\n- **Analysis methods:** AMMI stability value (ASV), GGE biplot, Eberhart-Russell joint regression", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Experimental Design", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Variance Partitioning]\n- **Environment:** 76.03% of total yield variation β sites differ much more than genotypes\n- **GEI:** Remaining substantial portion β crossover interactions present", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Variance Partitioning", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Top Performing Stable Hybrid]\n- **WE-CMT-TWC-1003 (G3):** Mean yield 5.27 t/ha, AMMI stability value (pi) = 1.01, regression coefficient (Ξ²i) = 0.80\n- G3 had above-average yield with below-average instability β ideal for wide adaptation", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Top Performing Stable Hybrid", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Environment Performance]\n- **Best environment:** KALRO Kitui (environmental index +3.41) β highest mean yield across genotypes\n- Kitui likely benefits from favorable planting conditions in seasons tested", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Environment Performance", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\" β Implications]\n- Environment dominates variation; local adaptation is important but wide-adaptation hybrids are achievable\n- AMMI/GGE biplot methods recommended for KALRO MET data (see [[genotype-environment-interaction]])\n- WE-CMT-TWC-1003 is a candidate for broad recommendation across semi-arid to highland zones\n- Commercial checks included for direct comparison with existing market offerings", | |
| "source": "wiki/sources/multilocation-three-way-crosses.md", | |
| "title": "\"Multilocation Evaluation of KALRO Three-Way Cross Hybrids (Masila & Langat, 2020)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Genetic Gains in Kenya Hybrid Maize Program 1999β2020]\n**Citation:** Ligeyo, et al. (2024). Genetic gains in the Kenya hybrid maize program, 1999β2020. *Frontiers in Plant Science*, 15:1416538.", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Genetic Gains in Kenya Hybrid Maize Program 1999β2020", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Overview]\nRetrospective analysis of genetic gains for grain yield and agronomic traits in the Kenya Hybrid Maize Program (KHMP) using BLUEs (Best Linear Unbiased Estimates) and retrogressive analysis across Preliminary Variety Trials (PVT) and Advanced Variety Trials (AVT), 1997β2020. Collaboration: KALRO / CIMMYT / Ohio State University / IBP. Funded by Kenyan Government / BMGF / USAID.", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Methodology]\n- **Data:** Historical PVT (2003β2020) and AVT (1997β2020) records from KHMP\n- **Method:** BLUEs from mixed models; retrogressive analysis (regression of yearly means on year)\n- **Traits:** Grain yield (GY), TLB (Turcicum Leaf Blight), GLS (Gray Leaf Spot), root lodging, stalk lodging, husk cover, anthesis-silking interval (ASI)", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Grain Yield Gains]\n| Trial type | Gain (kg/ha/yr) | Gain (%/yr) |\n|---|---|---|\n| PVT (2003β2020) | +88 | +1.94 |\n| AVT (1997β2020) | +26 | +0.42 |", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Grain Yield Gains", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Disease Trait Gains (negative = improving)]\n| Trait | PVT | AVT |\n|---|---|---|\n| TLB | -1.19%/yr | -0.27%/yr |\n| GLS | β | -0.81%/yr |\n| Root lodging | β | -2.65%/yr |", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Disease Trait Gains (negative = improving)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Ongoing Challenges]\n- **Husk cover:** Not improving (poor husk cover = higher post-harvest losses, pest exposure)\n- **Stalk lodging:** Not improving in PVT\n- **PSG (Popular Seed Group β commercial checks):** 114.7% of all entries in PVT, but only 94.7% of check H6213 in AVT β program pipeline lagging behind best commercial varieties in advanced stages", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Ongoing Challenges", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\" β Implications]\n- PVT gains (1.94%/yr) are positive but PVT entries do not always translate to AVT improvements (0.42%/yr gap)\n- The 1.94% PVT vs. 0.42% AVT gap suggests pipeline attrition and GEI effects reducing apparent gains at advanced stages\n- Husk cover and stalk lodging are neglected secondary traits needing deliberate selection\n- The PSG benchmarking approach is useful for assessing program competitiveness vs. commercial sector\n- Connects to [[hybrid-breeding]] and provides context for [[multilocation-three-way-crosses]] evaluation framework", | |
| "source": "wiki/sources/genetic-gains-khmp.md", | |
| "title": "\"Genetic Gains in Kenya Hybrid Maize Program 1999β2020 (Ligeyo et al., 2024)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya]\n**Citation:** Marenya, et al. (2022). Farmer preferences and willingness to pay for stress-tolerant maize varieties in Western Kenya. *Frontiers in Sustainable Food Systems*, 6:702405.", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Overview]\nChoice experiment with mixed logit model to estimate smallholder farmers' willingness to pay (WTP) for stress-tolerant maize variety traits in Busia and Siaya counties, Western Kenya. 1,400 farmers surveyed. Collaboration: CIMMYT/KALRO. Funded by BMGF/USAID.", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Methodology]\n- **Method:** Discrete choice experiment (DCE) with mixed logit model\n- **Sample:** 1,400 smallholder farmers in Busia and Siaya counties\n- **Traits evaluated:** Drought tolerance, striga tolerance, nitrogen use efficiency (NUE), fall armyworm (FAW) tolerance\n- **WTP metrics:**\n - WTP as seed price premium (Ksh per 2 kg bag)\n - WTSY: Willingness to sacrifice yield (bags/acre) to obtain the trait", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Willingness to Pay (Ksh/2 kg seed bag premium)]\n| Trait | WTP |\n|---|---|\n| Drought tolerance | ~2.49 |\n| Striga tolerance | ~1.63 |\n| Nitrogen use efficiency | ~0.70 |\n| FAW tolerance | ~0.11 |", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Willingness to Pay (Ksh/2 kg seed bag premium)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Willingness to Sacrifice Yield (bags/acre)]\n| Trait | WTSY range |\n|---|---|\n| Drought tolerance | 60β93 bags/acre |\n| Striga tolerance | 40β63 bags/acre |\n| NUE | 20β41 bags/acre |\n| FAW tolerance | 13β24 bags/acre |", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Willingness to Sacrifice Yield (bags/acre)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Geographic Variation]\n- Siaya county farmers consistently show higher WTP than Busia for most traits\n- Reflects differences in stress prevalence and farming intensity", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Geographic Variation", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\" β Implications]\n- Drought tolerance is the most valued trait β farmers are willing to pay significant premiums\n- FAW tolerance is valued least, possibly because FAW is recent or because other control methods exist\n- WTSY metric reveals trade-offs farmers are willing to make, useful for variety release prioritization\n- Geographic heterogeneity in preferences argues for county-level or agro-zone variety positioning\n- Connects to [[stress-tolerant-varieties]] and [[farmer-preferences]]", | |
| "source": "wiki/sources/farmer-preferences-stress-tolerant-varieties.md", | |
| "title": "\"Farmer WTP for Stress-Tolerant Maize Traits in Western Kenya (Marenya et al., 2022)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\" β Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya]\n**Citation:** Oluoch, et al. (2022). Quantifying the contributions of agronomic factors and climate variability to rainfed maize yield gaps in Kenya. *Scientific Reports*, 12:16043.", | |
| "source": "wiki/sources/agronomic-factors-yield-gap-kenya.md", | |
| "title": "\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\"", | |
| "section": "Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\" β Overview]\nNationwide analysis using household survey data (2,197 observations from 2010 and 2013 KIHBS rounds, 32 counties) and a linear regression model with normalized coefficients to decompose contributions of agronomic inputs, extension, and climate variables to smallholder maize yields. Collaboration: CIMMYT / University of Delaware. Funded by UD / BMGF.", | |
| "source": "wiki/sources/agronomic-factors-yield-gap-kenya.md", | |
| "title": "\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\"", | |
| "section": "Overview", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\" β Methodology]\n- **Data:** 2,197 household survey observations, 32 counties, 2010 & 2013 surveys\n- **Model:** Linear regression with normalized (standardized) coefficients for comparability\n- **Independent variables:** Fertilizer use, certified seed, extension (current/previous season), plot size, time to market, max temperature, rainfall, education, gender, age, farming experience", | |
| "source": "wiki/sources/agronomic-factors-yield-gap-kenya.md", | |
| "title": "\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\"", | |
| "section": "Methodology", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\" β Normalized Regression Coefficients (yield impact, standardized)]\n| Factor | Coefficient | Direction |\n|---|---|---|\n| Fertilizer use | +0.362 | Positive |\n| Certified seeds | +0.197 | Positive |\n| Extension (previous season) | +0.195 | Positive |\n| Extension (current season) | +0.116 | Positive |\n| Education | +0.049 | Positive |\n| Plot size | -0.046 | Negative (inverse relationship) |\n| Time to market | -0.048 | Negative |\n| Max temperature | Quadratic | Optimal range exists |\n| Gender, age, experience | Not significant | β |", | |
| "source": "wiki/sources/agronomic-factors-yield-gap-kenya.md", | |
| "title": "\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\"", | |
| "section": "Normalized Regression Coefficients (yield impact, standardized)", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\" β Key Interpretations]\n- Fertilizer is the single largest agronomic lever (+0.362), nearly double the effect of certified seeds\n- Extension services have measurable, persistent effects (previous season extension > current season)\n- Climate (temperature) has a quadratic relationship β moderate max temps are optimal; extremes reduce yield\n- Gender and sociodemographic factors (age, experience) are not significant after controlling for practices\n- A suite of practices can together offset climate variability impacts", | |
| "source": "wiki/sources/agronomic-factors-yield-gap-kenya.md", | |
| "title": "\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\"", | |
| "section": "Key Interpretations", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\" β Implications]\n- Investment in fertilizer access and extension services offers the highest yield improvement potential\n- Certified seed adoption has substantial yield impact β supports seed system investment (see [[seed-systems]])\n- Previous-season extension is more valuable than current-season β spill-over learning effects are real\n- Time-to-market (market access) is a modest but significant barrier β infrastructure investments justified\n- Connects to [[agronomic-factors-yield]], [[extension-approaches]], [[climate-variability]]", | |
| "source": "wiki/sources/agronomic-factors-yield-gap-kenya.md", | |
| "title": "\"Agronomic Factors vs. Climate Variability on Rainfed Maize Yields in Kenya (Oluoch et al., 2022)\"", | |
| "section": "Implications", | |
| "page_type": "source-summary", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\" β The Yield Gap Problem]\nKenya's national average maize yield (~1.5β2.0 t/ha) is far below attainable yields (6β10 t/ha under optimal management). The yield gap has multiple drivers β agronomic, climatic, market, and socioeconomic.", | |
| "source": "wiki/concepts/agronomic-factors-yield.md", | |
| "title": "\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\"", | |
| "section": "The Yield Gap Problem", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\" β Quantified Agronomic Contributions]\nFrom [[agronomic-factors-yield-gap-kenya]] (Oluoch et al. 2022), normalized regression on 2,197 observations across 32 counties:\n\n| Factor | Normalized coefficient | Rank |\n|---|---|---|\n| Fertilizer use | +0.362 | 1st |\n| Certified seeds | +0.197 | 2nd |\n| Extension (prev. season) | +0.195 | 3rd |\n| Extension (curr. season) | +0.116 | 4th |\n| Education | +0.049 | 5th |\n| Time to market | -0.048 | 6th (barrier) |\n| Plot size | -0.046 | 7th (inverse) |\n\n**Key finding:** Fertilizer is the single largest lever, but a suite of practices (fertilizer + certified seed + extension) can collectively offset climate variability impacts.", | |
| "source": "wiki/concepts/agronomic-factors-yield.md", | |
| "title": "\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\"", | |
| "section": "Quantified Agronomic Contributions", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\" β Planting Date Effect]\nFrom [[planting-dates-ol-joro-orok]] (Onyango et al. 2015):\n- Late planting reduced yield by 23.6% (LR2013, Ol Joro Orok)\n- Early planting β 172% more rainfall during critical silking-to-maturity period\n- Planting date management is a zero-cost intervention with large yield implications", | |
| "source": "wiki/concepts/agronomic-factors-yield.md", | |
| "title": "\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\"", | |
| "section": "Planting Date Effect", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\" β Climate Interaction]\n- Maximum temperature has a **quadratic relationship** with yield (Oluoch et al.): moderate temps are optimal; extremes reduce yield\n- Climate variability (onset of rains, distribution) amplifies the importance of timely planting\n- Agronomic best practices can offset β but not eliminate β climate-induced yield losses", | |
| "source": "wiki/concepts/agronomic-factors-yield.md", | |
| "title": "\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\"", | |
| "section": "Climate Interaction", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\" β Extension Persistence Effect]\n- Previous-season extension (+0.195) > current-season extension (+0.116) for yield\n- Suggests knowledge accumulation and adoption lag; not just current advice that matters\n- Implication: consistency of extension contact over multiple seasons is important ([[extension-approaches]])", | |
| "source": "wiki/concepts/agronomic-factors-yield.md", | |
| "title": "\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\"", | |
| "section": "Extension Persistence Effect", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\" β Sociodemographic Non-Factors]\nGender, age, and farming experience are **not significant** predictors after controlling for practices β the practices themselves (fertilizer, seed, extension) explain yield, not farmer characteristics per se.", | |
| "source": "wiki/concepts/agronomic-factors-yield.md", | |
| "title": "\"Agronomic Factors and the Smallholder Maize Yield Gap in Kenya\"", | |
| "section": "Sociodemographic Non-Factors", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies for ASAL Maize Production\" β Overview]\nIn situ water harvesting (WH) technologies concentrate or retain rainfall within the cropped area, reducing runoff losses and extending the effective growing period. Critical in Kenya's Arid and Semi-Arid Lands (ASALs) where rainfall is erratic and often insufficient.", | |
| "source": "wiki/concepts/water-harvesting-technologies.md", | |
| "title": "\"In Situ Water Harvesting Technologies for ASAL Maize Production\"", | |
| "section": "Overview", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies for ASAL Maize Production\" β Technology Types]\n| Technology | Description | Best context |\n|---|---|---|\n| **Ngolo pits** | Larger pits with earthen micro-bunds; Kenyan adaptation | Semi-arid, crusting soils |\n| **Zai pits** | Small ~30 cm diameter planting pits filled with manure; West African origin | Degraded soils, low rainfall |\n| **Contour furrows** | Furrows along contour lines to intercept and slow sheet runoff | Sloped terrain |\n| **Tied ridges** | Ridges with cross-ties to impound water in furrows | Semi-arid; conditional benefit |\n| **Conventional tillage** | Standard flat-bed plowing | Baseline comparison |", | |
| "source": "wiki/concepts/water-harvesting-technologies.md", | |
| "title": "\"In Situ Water Harvesting Technologies for ASAL Maize Production\"", | |
| "section": "Technology Types", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies for ASAL Maize Production\" β From [[water-harvesting-katumani]] (Wafula et al. 2022, KALRO Katumani):]\n- **Best:** Ngolo pits + 100 kg/ha DAP β 4.52 t/ha maize (SR2019)\n- Ngolo pits > zai pits > contour furrows > conventional tillage for most seasons\n- Organic manure alone insufficient; mineral fertilizer combination essential", | |
| "source": "wiki/concepts/water-harvesting-technologies.md", | |
| "title": "\"In Situ Water Harvesting Technologies for ASAL Maize Production\"", | |
| "section": "From [[water-harvesting-katumani]] (Wafula et al. 2022, KALRO Katumani):", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies for ASAL Maize Production\" β From [[tied-ridges-soil-moisture-machakos]] (Ngie Mwende 2019, KALRO Katumani):]\n- Tied ridges **outperform flat beds in dry seasons** but may waterlog in wet seasons\n- Best overall: Flat bed + FYM 5 t/ha + cowpea intercrop β 3.59 t/ha (SR2015, high-rainfall season)\n- Tied ridges increase soil organic carbon and water-holding capacity over time", | |
| "source": "wiki/concepts/water-harvesting-technologies.md", | |
| "title": "\"In Situ Water Harvesting Technologies for ASAL Maize Production\"", | |
| "section": "From [[tied-ridges-soil-moisture-machakos]] (Ngie Mwende 2019, KALRO Katumani):", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies for ASAL Maize Production\" β Key Principles]\n1. **Combine WH with fertility:** WH alone gives limited gains; combination with DAP or FYM dramatically improves yields\n2. **Seasonal sensitivity:** Tied ridges work best in low-rainfall seasons; risk of waterlogging under high rainfall\n3. **Intercropping synergy:** Maize-cowpea + WH + FYM outperforms maize monocrop under WH\n4. **Site-specific choice:** Ngolo pits recommended for Katumani-type semi-arid conditions; broader evaluation needed", | |
| "source": "wiki/concepts/water-harvesting-technologies.md", | |
| "title": "\"In Situ Water Harvesting Technologies for ASAL Maize Production\"", | |
| "section": "Key Principles", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"In Situ Water Harvesting Technologies for ASAL Maize Production\" β Connections to KCEP-CRAL]\nBoth studies were conducted at KALRO Katumani in the KCEP-CRAL target zone (Machakos/Makueni/Kitui). The technologies form part of the recommended KCEP-CRAL technology package for ASAL counties.", | |
| "source": "wiki/concepts/water-harvesting-technologies.md", | |
| "title": "\"In Situ Water Harvesting Technologies for ASAL Maize Production\"", | |
| "section": "Connections to KCEP-CRAL", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\" β Definition]\nGEI occurs when genotype rankings change across environments, meaning a variety that performs best in one location may not be best in another. Understanding GEI is essential for making accurate variety recommendations and deciding between wide-adaptation vs. targeted breeding strategies.", | |
| "source": "wiki/concepts/genotype-environment-interaction.md", | |
| "title": "\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\"", | |
| "section": "Definition", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\" β AMMI (Additive Main effects and Multiplicative Interaction)]\n- Decomposes environment main effect, genotype main effect, and GEI interaction separately\n- AMMI Stability Value (ASV) quantifies instability β lower ASV = more stable\n- IPCA (Interaction Principal Component Axes) scores describe interaction patterns", | |
| "source": "wiki/concepts/genotype-environment-interaction.md", | |
| "title": "\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\"", | |
| "section": "AMMI (Additive Main effects and Multiplicative Interaction)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\" β GGE Biplot]\n- Combines G (genotype) and GEI on a biplot\n- Identifies \"which-won-where\" patterns β which genotype excels in which environment\n- Visualizes mega-environments and ideal genotypes", | |
| "source": "wiki/concepts/genotype-environment-interaction.md", | |
| "title": "\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\"", | |
| "section": "GGE Biplot", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\" β Joint Regression (Eberhart-Russell)]\n- Regresses genotype yield on environmental index\n- **Ξ²i** (regression coefficient): Ξ²i = 1.0 is average stability; <1.0 = suited to poor environments; >1.0 = suited to good environments\n- Simpler than AMMI but less informative for complex interactions", | |
| "source": "wiki/concepts/genotype-environment-interaction.md", | |
| "title": "\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\"", | |
| "section": "Joint Regression (Eberhart-Russell)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\" β Findings from KALRO Multi-Environment Trials]\nFrom [[multilocation-three-way-crosses]] (Masila & Langat 2020, 4 KALRO sites):\n- **Environment contributed 76.03%** of total yield variation β sites matter more than genotype differences\n- **Best stable hybrid:** WE-CMT-TWC-1003 (G3) β mean 5.27 t/ha, ASV pi=1.01, Ξ²i=0.80 (slightly below-average sensitivity = stable)\n- **Kitui** was the best-performing environment (env. index +3.41)\n\nFrom [[single-crosses-kalro-muguga-embu]] (Njoka & Kariuki 2017):\n- Different top hybrids at Muguga (MUL516ΓMUL508) vs. Embu (MUL541ΓPOPA)\n- Strong crossover GEI between highland and mid-altitude sites", | |
| "source": "wiki/concepts/genotype-environment-interaction.md", | |
| "title": "\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\"", | |
| "section": "Findings from KALRO Multi-Environment Trials", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\" β Implications for Variety Release]\n- GEI evidence argues for **location-specific recommendations** alongside broad release\n- AMMI/GGE biplot are standard tools in KALRO multilocation trials\n- High environment variance fraction supports investment in site-specific agronomic guidance", | |
| "source": "wiki/concepts/genotype-environment-interaction.md", | |
| "title": "\"Genotype Γ Environment Interaction (GEI) and Stability Analysis\"", | |
| "section": "Implications for Variety Release", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability in Maize Breeding\" β Definition]\nCombining ability describes the performance of inbred lines when crossed to other lines:\n- **GCA (General Combining Ability):** Average performance of a line across all crosses β reflects additive gene action; heritable and used in recurrent selection\n- **SCA (Specific Combining Ability):** Deviation of a specific cross from what GCA predicts β reflects dominance and epistasis (non-additive); basis for exploiting heterosis in specific crosses", | |
| "source": "wiki/concepts/combining-ability.md", | |
| "title": "\"Combining Ability in Maize Breeding\"", | |
| "section": "Definition", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability in Maize Breeding\" β Standard Method]\n**Griffing (1956)** Method 1 Model 1 (full diallel including reciprocals) is the standard approach used by KALRO for estimating GCA and SCA from diallel crosses. Results are used to identify parents and specific crosses for hybrid development.", | |
| "source": "wiki/concepts/combining-ability.md", | |
| "title": "\"Combining Ability in Maize Breeding\"", | |
| "section": "Standard Method", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability in Maize Breeding\" β KALRO Muguga Results]\nFrom [[combining-ability-kalro-muguga-thesis]] (Kariuki 2015):\n- **Best GCA:** POPA β best general combiner across sites; useful in multiple crosses\n- **Best SCA crosses:** MUL508ΓMUL688, POPAΓMUL541, MUL513ΓMUL114\n- **Genetic action:** High GCA:SCA ratio for yield suggests additive gene action predominates β recurrent selection viable", | |
| "source": "wiki/concepts/combining-ability.md", | |
| "title": "\"Combining Ability in Maize Breeding\"", | |
| "section": "KALRO Muguga Results", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability in Maize Breeding\" β Application to Hybrid Development]\n- High GCA lines β target parents for broad hybrid development programs\n- High SCA crosses β specific hybrid recommendations where the cross outperforms GCA predictions\n- GCA-based selection identifies lines like POPA for integration into new crosses\n- Field evaluation of resulting crosses ([[single-crosses-kalro-muguga-embu]]) validates GCA/SCA predictions: MUL516ΓMUL508 (11.9 t/ha at Muguga), POPA-based crosses strong at Embu", | |
| "source": "wiki/concepts/combining-ability.md", | |
| "title": "\"Combining Ability in Maize Breeding\"", | |
| "section": "Application to Hybrid Development", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Combining Ability in Maize Breeding\" β Relationship to Heterotic Groups]\nMaximizing SCA requires crossing lines from distinct heterotic groups. KALRO Muguga program uses heterotic grouping (e.g., POPA from one group, MUL lines from another) to structure crosses for maximum hybrid vigor.", | |
| "source": "wiki/concepts/combining-ability.md", | |
| "title": "\"Combining Ability in Maize Breeding\"", | |
| "section": "Relationship to Heterotic Groups", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Participatory Communication in Agricultural Extension\" β Definition]\nParticipatory communication is a two-way, dialogic process where farmers, extension officers, and researchers co-design messages and knowledge-sharing strategies, rather than receiving top-down information transfer. Grounded in Freire's dialogic action theory (Paulo Freire, *Pedagogy of the Oppressed*, 1970).", | |
| "source": "wiki/concepts/participatory-communication.md", | |
| "title": "\"Participatory Communication in Agricultural Extension\"", | |
| "section": "Definition", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Participatory Communication in Agricultural Extension\" β Contrast with Conventional Extension]\n| Conventional (top-down) | Participatory |\n|---|---|\n| Message designed by scientists/program | Message co-designed with farmers |\n| AEOs transmit pre-packaged messages | AEOs facilitate discussion and feedback |\n| Adoption = compliance | Adoption = informed choice |\n| One-way communication plan | Iterative, feedback-driven |", | |
| "source": "wiki/concepts/participatory-communication.md", | |
| "title": "\"Participatory Communication in Agricultural Extension\"", | |
| "section": "Contrast with Conventional Extension", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Participatory Communication in Agricultural Extension\" β Evidence from KCEP-CRAL]\nFrom [[kcep-cral-communication-stakeholders]] (Muli et al. 2024):\n- KCEP-CRAL adoption rate <30% β partly attributed to top-down communication design\n- Farmers and AEOs had minimal involvement in communication plan development\n- AEOs served as message transmitters, not co-designers\n- Scientific content drove communication without farmer feedback loops", | |
| "source": "wiki/concepts/participatory-communication.md", | |
| "title": "\"Participatory Communication in Agricultural Extension\"", | |
| "section": "Evidence from KCEP-CRAL", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Participatory Communication in Agricultural Extension\" β FFBS as a Participatory Model]\nThe **Farmer Field Business School (FFBS)** approach used in [[KCSAP]] (see [[kcsap-training-manual]]) is closer to participatory principles:\n- Participatory group learning\n- Farmers analyze their own plots and data\n- Knowledge is built through facilitated experimentation, not lecture", | |
| "source": "wiki/concepts/participatory-communication.md", | |
| "title": "\"Participatory Communication in Agricultural Extension\"", | |
| "section": "FFBS as a Participatory Model", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Participatory Communication in Agricultural Extension\" β Implications]\n- Programs with adoption <30% should audit communication design before assuming technology failure\n- AEO capacity-building should include facilitation skills, not just technical content\n- Freire's theory provides a diagnostic framework: where dialogue is absent, adoption suffers", | |
| "source": "wiki/concepts/participatory-communication.md", | |
| "title": "\"Participatory Communication in Agricultural Extension\"", | |
| "section": "Implications", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Maize Lethal Necrosis (MLN)\" β Definition]\nMLN is a devastating maize disease caused by the **synergistic co-infection** of two viruses:\n- **MCMV** β Maize chlorotic mottle virus (Tombusviridae: Machlomovirus)\n- **SCMV** β Sugarcane mosaic virus (Potyviridae: Potyvirus)\n\nEither virus alone causes mild-to-moderate symptoms. Together, they cause complete plant necrosis and death, with yield losses of 30β100%. First reported in Kenya ~2011β2012.", | |
| "source": "wiki/concepts/maize-lethal-necrosis.md", | |
| "title": "\"Maize Lethal Necrosis (MLN)\"", | |
| "section": "Definition", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Maize Lethal Necrosis (MLN)\" β Epidemiology in Kenya]\n- **Field prevalence:** 100% in surveyed counties (Bomet, Narok, Kirinyaga, Embu, Nakuru) β [[mln-farmer-survey-kenya]]\n- **Highest incidence:** Narok county (90.67% of plants affected)\n- **RT-PCR detection rates:** MCMV 82%, SCMV 87% of sampled plants\n- **Yield impact:** Farmers averaging only 1.48 t/ha in affected areas vs. 6β8 t/ha potential", | |
| "source": "wiki/concepts/maize-lethal-necrosis.md", | |
| "title": "\"Maize Lethal Necrosis (MLN)\"", | |
| "section": "Epidemiology in Kenya", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Maize Lethal Necrosis (MLN)\" β Vectors and Transmission]\n- **MCMV vectors:** Western flower thrips (*Frankliniella occidentalis*), maize thrips, rootworms\n- **SCMV vectors:** Aphids (non-persistent)\n- **Seed transmission (MCMV):** Low but documented; 0.025β0.57% seed-to-seedling rate, 4.9β15.93% contamination in commercial seed lots β [[mcmv-seed-transmission]]", | |
| "source": "wiki/concepts/maize-lethal-necrosis.md", | |
| "title": "\"Maize Lethal Necrosis (MLN)\"", | |
| "section": "Vectors and Transmission", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Maize Lethal Necrosis (MLN)\" β Farmer Management]\n- 74.8% of Kenyan farmers do NOT actively control MLN ([[mln-farmer-survey-kenya]])\n- Low diagnostic awareness β many confuse MLN with drought stress or poor soil fertility\n- 87% plant improved varieties but most are not MLN-tolerant", | |
| "source": "wiki/concepts/maize-lethal-necrosis.md", | |
| "title": "\"Maize Lethal Necrosis (MLN)\"", | |
| "section": "Farmer Management", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Maize Lethal Necrosis (MLN)\" β Genetic Control (Screening)]\nFrom [[mln-resistance-screening]] (Karanja et al., 2018):\n- **Best MCMV tolerance:** MLN001 (CKDHL120918), MLN006\n- **Best SCMV resistance:** MLN042, MLN041\n- **Validated MLN tolerants:** MLN013 (CKDHL120312), MLN001\n- No complete immunity exists; tolerance (reduced severity) is the achievable goal", | |
| "source": "wiki/concepts/maize-lethal-necrosis.md", | |
| "title": "\"Maize Lethal Necrosis (MLN)\"", | |
| "section": "Genetic Control (Screening)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Maize Lethal Necrosis (MLN)\" β Seed System Implications]\n- MCMV is present in commercial seed lots (avg 8.75% contamination by DAS-ELISA)\n- True transmission rate is low (0.025% RT-PCR) but at scale creates initial inoculum foci\n- KEPHIS seed certification should integrate MCMV testing protocols", | |
| "source": "wiki/concepts/maize-lethal-necrosis.md", | |
| "title": "\"Maize Lethal Necrosis (MLN)\"", | |
| "section": "Seed System Implications", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Definition]\nGenetic gain is the improvement in trait performance per unit time (e.g., per year) attributable to breeding selection. It reflects the effectiveness of a breeding program in advancing the genetic potential of a population, separate from management or environmental improvement.", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Definition", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β BLUEs (Best Linear Unbiased Estimates)]\n- Mixed model approach to estimate genotype means adjusted for environmental and year effects\n- More accurate than raw trial means for trend analysis", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "BLUEs (Best Linear Unbiased Estimates)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Retrogressive Analysis]\n- Regress genotype BLUEs on year of entry into trials\n- Slope = annual genetic gain (kg/ha/yr or %/yr)\n- Standard method for long-term program evaluation", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Retrogressive Analysis", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Trial Types in Kenya (KHMP)]\n- **PVT (Preliminary Variety Trials):** Early stage, more entries, shorter history per entry\n- **AVT (Advanced Variety Trials):** Fewer elite entries, multi-location, closer to release", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Trial Types in Kenya (KHMP)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Kenya Hybrid Maize Program Results (1999β2020)]\nFrom [[genetic-gains-khmp]] (Ligeyo et al. 2024):\n\n| Pipeline stage | GY gain | Rate |\n|---|---|---|\n| PVT (2003β2020) | +88 kg/ha/yr | +1.94%/yr |\n| AVT (1997β2020) | +26 kg/ha/yr | +0.42%/yr |", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Kenya Hybrid Maize Program Results (1999β2020)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Trait Trends (negative = improving for disease scores)]\n- TLB: -1.19%/yr (PVT), -0.27%/yr (AVT)\n- GLS: -0.81%/yr (AVT)\n- Root lodging: -2.65%/yr (AVT)\n- **Stall:** Husk cover and stalk lodging not improving", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Trait Trends (negative = improving for disease scores)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β PVT vs. AVT Gap]\nThe 1.94% vs. 0.42% gap between PVT and AVT is a common pattern β early-stage trials show higher gains because less-adapted material is discarded through selection. AVT gains more closely reflect what farmers will actually experience from new releases.", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "PVT vs. AVT Gap", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Global Benchmarks]\n- CGIAR target: ~1.5%/yr genetic gain for staple crops\n- KHMP PVT gains (1.94%) exceed target; AVT gains (0.42%) fall below β program progression efficiency needs attention", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Global Benchmarks", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Genetic Gains Estimation in Plant Breeding Programs\" β Implications]\n- Secondary traits (husk cover, stalk lodging) need deliberate selection criteria in KHMP\n- AVT pipeline competitiveness relative to commercial checks (PSG) is a key strategic metric\n- Methods applicable to [[combining-ability]] and [[multilocation-three-way-crosses]] analyses", | |
| "source": "wiki/concepts/genetic-gains-breeding.md", | |
| "title": "\"Genetic Gains Estimation in Plant Breeding Programs\"", | |
| "section": "Implications", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stress-Tolerant Maize Varieties and Farmer Preferences\" β Overview]\nStress-tolerant maize varieties are bred to maintain acceptable yields under one or more biotic or abiotic stresses. CIMMYT and KALRO have developed varieties with tolerance to drought, striga (*Striga hermonthica*), low nitrogen (nitrogen use efficiency, NUE), and fall armyworm (FAW).", | |
| "source": "wiki/concepts/stress-tolerant-varieties.md", | |
| "title": "\"Stress-Tolerant Maize Varieties and Farmer Preferences\"", | |
| "section": "Overview", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stress-Tolerant Maize Varieties and Farmer Preferences\" β Key Stress Traits in Kenya]\n| Stress | Affected zones | Mechanism |\n|---|---|---|\n| Drought | ASAL, Western Kenya | Reduced transpiration, deep roots, stay-green |\n| Striga | Western Kenya (Busia, Siaya, Homa Bay) | Striga-resistant varieties + Imazapyr-coated seed (PICS) |\n| Low nitrogen / NUE | Smallholder plots with poor soils | Nitrogen remobilization efficiency |\n| Fall armyworm (FAW) | Widespread since 2016 | Physical resistance, antixenosis |", | |
| "source": "wiki/concepts/stress-tolerant-varieties.md", | |
| "title": "\"Stress-Tolerant Maize Varieties and Farmer Preferences\"", | |
| "section": "Key Stress Traits in Kenya", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stress-Tolerant Maize Varieties and Farmer Preferences\" β Farmer Valuation (Western Kenya)]\nFrom [[farmer-preferences-stress-tolerant-varieties]] (Marenya et al. 2022, 1,400 farmers, Busia+Siaya):", | |
| "source": "wiki/concepts/stress-tolerant-varieties.md", | |
| "title": "\"Stress-Tolerant Maize Varieties and Farmer Preferences\"", | |
| "section": "Farmer Valuation (Western Kenya)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stress-Tolerant Maize Varieties and Farmer Preferences\" β WTP (Ksh per 2 kg seed bag premium)]\n| Trait | WTP |\n|---|---|\n| Drought tolerance | ~2.49 |\n| Striga tolerance | ~1.63 |\n| NUE | ~0.70 |\n| FAW tolerance | ~0.11 |", | |
| "source": "wiki/concepts/stress-tolerant-varieties.md", | |
| "title": "\"Stress-Tolerant Maize Varieties and Farmer Preferences\"", | |
| "section": "WTP (Ksh per 2 kg seed bag premium)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stress-Tolerant Maize Varieties and Farmer Preferences\" β WTSY (bags/acre sacrificed)]\n| Trait | WTSY |\n|---|---|\n| Drought | 60β93 |\n| Striga | 40β63 |\n| NUE | 20β41 |\n| FAW | 13β24 |\n\n**Interpretation:** Farmers value drought tolerance most, FAW least. Siaya county farmers value these traits more than Busia farmers.", | |
| "source": "wiki/concepts/stress-tolerant-varieties.md", | |
| "title": "\"Stress-Tolerant Maize Varieties and Farmer Preferences\"", | |
| "section": "WTSY (bags/acre sacrificed)", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| }, | |
| { | |
| "text": "[\"Stress-Tolerant Maize Varieties and Farmer Preferences\" β Implications for Breeding Priorities]\n- Drought tolerance should remain the top trait priority in variety development targeting Western Kenya\n- Striga tolerance is second priority β significant value in Western Kenya where *Striga hermonthica* is prevalent\n- FAW tolerance has low willingness to pay, possibly because FAW is a recent entrant and chemical control is available\n- Geographic WTP variation argues for county-targeted variety positioning strategies\n- WTSY metric operationalizes the agronomic trade-off framework for varietal choice", | |
| "source": "wiki/concepts/stress-tolerant-varieties.md", | |
| "title": "\"Stress-Tolerant Maize Varieties and Farmer Preferences\"", | |
| "section": "Implications for Breeding Priorities", | |
| "page_type": "concept", | |
| "layer": "wiki" | |
| } | |
| ] |