Four Seasons of Learning and Engaging Smallholder Farmers - icrisat

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Annex 10-1: Target locations for pigeonpea in Tanzania Annex 10-2: Target locations for pigeonpea in Malawi 216 Engaging Smallholder Farmers | Tropical Legumes II Project
Enhancing Soybean Productivity and Production in Drought-Prone Areas of Sub-Saharan Africa Hailu Tefera (IITA-Malawi), Bernard Vanlauwe (CIAT/TSBF-Kenya), Stephen Boahen (IITA- Mozambique), Arega Alene (IITA-Malawi), Geoffrey Kananji (DARS-Malawi), Mohammad Ishaq (NCRI-Nigeria), Ranajit Bandyopadhyay (IITA-Nigeria), Jendeka Mabel Mahasi (KARI-Kakamega, Kenya), Robert Abaidoo (IITA-Nigeria), Bussie Maziya-Dixon (IITA-Nigeria), Alpha Kamara (IITA- Nigeria), Ousmane Coulibaly (IITA-Cotonou), Ousmane Boukar (IITA-Nigeria) and David Chikoye (IITA-Zambia), Penina Muoki (IITA-Mozambique), Joseph Mligo (ARI- Ilonga, Tanzania) Socio-Economics/Targeting Gap and PVS analysis Surveys were carried-out with a set of questionnaires that were administered on scientists, extension agents, farmers and other relevant key informants. The study concludes that soybean a significant potential for income if a conducive policy for input supply, production and marketing are developed and implemented. A fragile and poorly defined relationship was observed among stakeholders in soybean innovation systems and value chains. Linkages need to be developed and/or strengthened. Furthermore, a more focused approach and coordination of efforts of all the stakeholders is needed to bridge these gaps, boost production and increase value added and ultimately increase food supply and incomes. Research is still needed to assess and quantify the actual and potential impacts of the adoption of improved varieties on farmer’s welfare, nutritional status, gender relations, soil fertility improvement, and crop-livestock integration systems. Outlook If recent trends in area expansion and yields growth continue into the future, global soybean production is projected to reach an estimated 293 million MT in 2020 and 360 million MT in 2030. While particular regions and countries in the developing world will face serious shortages, others such as the United States, Brazil, and Argentina will have surpluses. Asia, for example, is projected to have a deficit of over 65 million MT of soybean in 2020 and 87 million in 2030, whereas Africa is projected to have a deficit of 196,000 MT in 2020 and 450,000 MT in 2030. Individual country as well as regional soybean supply is therefore projected to reach levels that barely meet country level and regional soybean demand, with many developing countries facing greater shortages that should be met through imports from the United States, Brazil, or Argentina that are projected to have surpluses for export (Arega et. 2010). Africa will emerge as a net importer as it will be unable to meet is burgeoning demand for oil and food owing to its rising incomes. If Africa and the developing world are to sustain cowpea production and if they are to catch up in soybean production, research on how to increase productivity is paramount. There is need for huge investments in plant breeding, awareness of integrated pest and disease management techniques, creation of markets and facilitation of market integration, development of efficient support systems and development of post-harvest storage technologies. The effectiveness of such efforts will ultimately depend on how closely researchers, farmers, financial partners and other stakeholders work together for a common cause. Progress of Phase 1 217
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Tropical Legumes II Project TROPICA
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TROPICAL LEGUMES II Tropical Legume
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Seed Production and Delivery System
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Enhancing Pigeonpea Productivity an
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NARES NASFAM NASSPA NPT NSC NSO NSS
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TL II was implemented in 10 target
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country governments in agricultural
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Table 1-2: continued Variety code (
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Table 1-3: Seed production and deli
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As stated earlier in this chapter,
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Table 1-5: Graduate degree students
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Ndjeunga J, Ibro A, Cisse Y, Ben Ah
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Project background Groundnut is one
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Table 2-2: Performance of ICGV 0035
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Table 2-6: Performance of ICGV 9111
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Table 2-11: Results of 255 paired c
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Table 2-16: Groundnut seed of vario
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Infrastructure facilities For effic
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Project sites Tamil Nadu The presen
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In Karnataka, the PDKV model was pr
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Training course A total of four tra
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Background The yield of groundnut i
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Table 3-2: Groundnut production tre
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In order of importance, the largest
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Table 3-5: Results of pair-wise com
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Finally, the variety choices are co
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hybridization techniques, design of
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Figure 3-2: The Malawi model of the
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Tanzania TL II has contributed to t
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Annex 3-2: Performance of Virginia
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Annex 3-4: Regional elite groundnut
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54 Engaging Smallholder Farmers | T
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The European Union still remains th
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Table 4-2: Proportion of households
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Table 4-4: Amount requested, amount
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Table 4-6. Comparison of groundnut
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The use of other inputs (credit, in
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A PVS evaluation was launched in pi
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Table 4-10: Locations and contact f
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Table 4-11: Mean pod yield (kg per
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99511 (Table 4-12). Most important
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Table 4-15: Evaluation of groundnut
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A 10-day intensive training worksho
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Seed production of all classes A to
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Testing seed marketing strategies A
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as Nigeria that will face the great
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100 Million hectares 80 60 40 20 0
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70 73 76 79 82 85 88 91 94 97 00 03
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In Niger, changes in cowpea product
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irregular rainfall early in the cro
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Table 5-4: Cowpea breeding lines se
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Cowpea varieties released The proje
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Table 5-8: Number of days to flower
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Evaluation for phosphorus-use effic
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Figure 5-8: Reactions of some culti
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ASS6 ASS64 ASS110 ASS56 Figure 5-9:
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Figure 5-10: Meeting of farmers’
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The best approach to spread the imp
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declining soil fertility, increasin
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In Nigeria, the small seed pack app
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112 Engaging Smallholder Farmers |
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Phase I Social Sciences research in
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The consequences are that the impro
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about half of area share of land al
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Figure 6-3: Average area (ha) per h
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single lingering bottleneck on whic
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In Kenya, the small seed pack appro
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Summary, process gains and people r
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Fast-Tracking and Technology Genera
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Figure 6-6: Distribution of PVS sit
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Table 6-12: Yields of fast track bu
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Table 6-15: Farmer evaluation of in
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While the fast track entries were r
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Technology generation Mechanistic s
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60 50 Rainfall Pan evaporation Maxi
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Table 6-22: Yield under drought ind
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Number of degree training students
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Number of NARS technicians trained
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Rain-out shelter in CIAT-Colombia T
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Impact assessment and enhancement P
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Annex 6-2: TL IIEthiopia: decentral
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154 Engaging Smallholder Farmers |
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farmers for enhancing their awarene
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• Designing, testing and implemen
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Andhra Pradesh The overall sample s
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Prakasam district: Crops grown in P
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Constraints in adoption of chickpea
Page 176 and 177: Cost-benefit analysis for chickpea
Page 178 and 179: Identification of farmer-and-market
Page 180 and 181: Table 7-6: Breeder Seed of differen
Page 182 and 183: Capacity building Knowledge empower
Page 184 and 185: Table 7-15: Training of local seed
Page 186 and 187: • In addition to yield, maturity
Page 188 and 189: Introduction Chickpea is grown in E
Page 190 and 191: Chickpea seed access The first majo
Page 192 and 193: Grades and standards About 75% of t
Page 194 and 195: Table 8-6: Varieties used in PVS tr
Page 196 and 197: private sector lacks the incentive
Page 198 and 199: • LZARDI-Ukiriguru: Land along wi
Page 200 and 201: • Establishing functional legume
Page 202 and 203: Table 9-1: Farmers’ preferred var
Page 204 and 205: Table 9-3: Baby trials conducted in
Page 206 and 207: Table 9-5: Reaction of pigeonpea li
Page 208 and 209: TL II focuses on farmer-participato
Page 210 and 211: Production of Breeder, Foundation,
Page 212 and 213: Mahaboobnagar and Ranga Reddy distr
Page 214 and 215: (Table 9-9 Continued) Particular To
Page 216 and 217: Chichewa) and Tanzania (Swahili). O
Page 218 and 219: Available technologies Although imp
Page 220 and 221: and Chitedze in Malawi showed that
Page 222 and 223: Table 10-6: Various classes of qual
Page 224 and 225: Awareness activities Farmers’ fie
Page 228 and 229: Adoption studies Adoption studies f
Page 230 and 231: 3.5 Yields (Tonnes/hectare) 3.0 2.5
Page 232 and 233: Table 11-1: Preferred soybean trait
Page 234 and 235: The up-scaling program signals the
Page 236 and 237: Across districts, TGx 1740-2F out-y
Page 238 and 239: Table 11-9: Communities and famers
Page 240 and 241: Table 11-14 Average performance of
Page 242 and 243: Table 11-15: Release notes of the t
Page 244 and 245: In Nigeria, across locations mean p
Page 246 and 247: Table 11-21: Grain yield (kg per ha
Page 248 and 249: Progress in selection of Bradyrhizo
Page 250 and 251: the major soybean producing localit
Page 252 and 253: Seed Production and Delivery System
Page 254 and 255: Table 11-29: Quantity (MT) of Found
Page 256 and 257: utilization and marketing. In Niger
Page 258 and 259: Annex 11-2: Tobit Model estimate of
Page 260: 250 Engaging Smallholder Farmers |
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