Final version of Tropical Legumes II Project Report for Phase 1 - 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 has a significant potential for income if a conducive policy for input supply, production and marketing is 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. Situation and outlook Analysis of soybean supply and demand situation and outlook showed that global soybean production and trade is characterized by a high level of concentration and specialization. While the United States, Brazil, and Argentina alone account for over 80% of the world soybean production, Africa’s share is less than 1%. As the three leading soybean exporters, the United States, Brazil, and Argentina continue to account for nearly 90 percent of the world’s aggregate exports of soybeans, soybean meal, and soybean oil during the coming decade. If past trends in soybean area expansion and yields continue into the future, global soybean production is projected to reach an estimated 293 million tons in 2020 and 360 million tons in 2030. While particular regions and countries in the developing world will face serious shortages, others will have surpluses. Asia, for example, is projected to have a deficit of over 65 million tons of soybean in 2020 and 87 millions in 2030, whereas Africa is projected to have a deficit of 196,000 tons in 2020 and 450,000 tons in 2030. The projections showed that developing countries, including Africa, are the main source of growth in world soybean demand and trade. A number of factors have generated fresh and growing demands for soybeans-for domestic processing to meet the rising domestic demand for soybean meal and soybean oil. In Malawi, for example, trade policy measures intended for protecting the poultry industry-import quota for poultry meat-have resulted in a substantial increase of demand for soybeans primarily to supply the feed industry, with positive prospects for edible oil. This change in trade policy encouraged the rapid growth of the local feed industry, with increased derived demand for soybean and soybean cake. However, the growing domestic and regional demand for soybean is unlikely to be satisfied through domestic and regional production without major research and development investments aimed at raising the productivity, profitability, and competitiveness of smallholder soybean production. In many instances, farmers use farm-saved seeds of low-yielding varieties because seeds of improved varieties are not accessible. Increased adoption of high-yielding varieties and other inputs will require effective and efficient extension, credit, and input supply systems. 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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Seed production and delivery system
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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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Area Global trends in area under co
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Figure 5-3 shows that Nigeria made
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much greater deficits. Under this s
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and other inputs. • Popular varie
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Mozambique Soybean seed multiplicat
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dry savanna regions, where the bulk
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Number of demonstration plots in ea
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Mozambique Many farmers have shown
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Table 5-7: Number of days to flower
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most efficient and IT99K-7-21-2-2 w
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Table 5-11: Ten SNPs converted and
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Strengthening capacity of national
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Infrastructure development at NARS
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in Mali, 107.3 MT in Mozambique, an
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produced over the first phase of th
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Lessons learned TL II cowpea seed s
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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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16, and the advantage of some ALB l
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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
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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: Supply of important traits by the i
Page 234 and 235: and marketing organization in Malaw
Page 236 and 237: Table 11-3: Grain and fodder yields
Page 238 and 239: Table 11-9: Communities and famers
Page 240 and 241: Table 11-14 Average performance of
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Page 244 and 245: Table 11-16: Soybean Breeder’s Se
Page 246 and 247: Table 11-19: Grain yield (kg per ha
Page 248 and 249: Table 11-23: F3 Segregating populat
Page 250 and 251: At TSBF-CIAT in Kenya, a study was
Page 252 and 253: Number of NARS scientists trained T
Page 254 and 255: Improved access to markets Improved
Page 256 and 257: Total 107.3 259.0 609.0 975.3 246 E
Page 258 and 259: utilization and marketing. In Niger
Page 260 and 261: Annex 11-2: Tobit Model estimate of
Page 262: 252 Engaging Smallholder Farmers |
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Final version of Tropical Legumes II Project Report for Phase 1 - icrisat

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