Final version of Tropical Legumes II Project Report for Phase 1 - icrisat

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Table 3-5: Results of pair-wise comparisons of Spanish varieties by farmers in Tanzania 2007-08 Nangaramo MMnemeka 2 Ndwika 1 Nawaje Namarupi Sululu Total Rank ICGV-SM 01514 0 1 0 0 0 1 2 10 ICGV-SM 99555 8 6 8 4 8 7 41 1 ICGV-SM 99557 9 5 7 7 4 8 40 2 ICGV-SM 00530 6 4 5 6 7 7 35 4 ICGV-SM 99551 5 6 6 5 6 2 30 5 ICGV-SM 99529 2 3 4 8 4 3 24 6 ICG 12991 3 5 3 6 3 4 24 6 Nyota 4 3 3 2 3 2 17 9 Pendo 5 9 6 5 6 8 39 3 Dodoma Local 4 4 4 3 5 4 24 6 Another method used is to ask members of a farmer group in each village to select their 3 best varieties based on their own composite of preferred traits criteria. There is normally a lot of debate among group members in coming up with the 3 and in deciding which of the three is ranked the first. The number of times a given variety is selected as the most preferred is used to rank the varieties. Again, using this criterion, ICGV-SM 99555 and ICGV-SM 99557 took the top spot, followed by Pendo (Table 3-6). The fact that these two different methodologies came up with the same varieties is indicative of their farmer appeal. Table 3-6: Results of direct ranking selection of three preferred Spanish varieties by farmers across on-farm trial sites, 2007-08 growing season in Tanzania Nangaramo Mnemeka 1 Ndwika 1 Nawaje Namarupi Mungano Sululu Makoja Mungano Makulu Total ICGV-SM 01514 ICGV-SM 99555 3 1 2 3 1 2 6 ICGV-SM 99557 1 2 1 3 2 2 6 ICGV-SM 00530 1 3 2 ICGV-SM 99551 2 1 3 1 4 ICGV-SM 99529 2 2 2 ICG 12991 2 1 Nyota 3 3 2 Pendo 3 2 1 1 1 5 Dodoma local 3 3 2 40 Engaging Smallholder Farmers | Tropical Legumes II Project
Table 3-7: Farmers’ variety trait preferences for groundnut Pod size Pod filling Maturity Marketability Rank Total Sululu Nawaje Ndwika 1 Nangaramo Rank Total Sululu Namarupi Nawaje Ndwika 1 Mnemeka 1 Nangaramo Rank Total Suululu Namarupi Nawaje Ndwika 1 Mnemeka1 Nangaramo Rank Total Sululu Namarupi Nawaje Ndwika 1 Mnemeka 1 Nangaramo Variety/line ICGV-SM 01514 3 2 2 3 1 3 14 8 3 3 4 3 3 3 19 5 5 5 4 4 4 3 25 5 3 2 4 2 11 5 ICGV-SM 99555 4 3 4 2 3 3 19 3 5 4 3 2 3 4 21 4 3 5 4 3 4 5 24 6 4 4 4 5 17 1 ICGV-SM 99557 4 5 4 3 5 4 25 1 5 5 5 4 5 5 29 1 3 5 5 5 5 4 27 4 4 4 4 5 17 1 ICGV-SM 00530 4 3 3 3 3 1 17 5 3 3 1 3 4 3 17 6 3 3 2 5 5 4 22 8 2 3 4 2 11 5 ICGV-SM 99551 3 2 5 2 3 3 18 4 3 4 4 5 3 3 22 3 4 3 4 3 5 4 23 7 2 4 3 2 11 5 ICGV-SM 99529 2 2 3 4 2 2 15 7 2 4 3 3 5 2 19 5 3 4 4 3 3 3 20 9 4 4 3 4 15 3 ICG 12991 3 1 2 3 4 3 16 6 4 3 2 3 3 4 19 5 5 4 3 5 3 5 25 5 3 2 4 3 12 4 Nyota 1 1 1 1 2 1 7 10 3 5 4 3 1 3 19 5 5 5 5 5 5 5 30 1 1 2 2 3 8 6 Pendo 3 3 3 3 5 4 21 2 5 4 3 4 5 5 26 2 4 5 5 5 5 5 29 2 4 4 4 4 16 2 Dodoma local 2 2 2 2 3 2 13 9 3 5 5 5 5 3 26 2 5 4 5 4 5 5 28 3 2 3 3 4 12 4 Progress of Phase 1 41
Page 1 and 2: Tropical Legumes II Project TROPICA
Page 3: TROPICAL LEGUMES II Tropical Legume
Page 6 and 7: Seed Production and Delivery System
Page 8 and 9: Seed production and delivery system
Page 10 and 11: NARES NASFAM NASSPA NPT NSC NSO NSS
Page 12 and 13: TL II was implemented in 10 target
Page 14 and 15: country governments in agricultural
Page 16 and 17: Table 1-2: continued Variety code (
Page 18 and 19: Table 1-3: Seed production and deli
Page 20 and 21: As stated earlier in this chapter,
Page 22 and 23: Table 1-5: Graduate degree students
Page 24 and 25: Ndjeunga J, Ibro A, Cisse Y, Ben Ah
Page 26 and 27: Project background Groundnut is one
Page 28 and 29: Table 2-2: Performance of ICGV 0035
Page 30 and 31: Table 2-6: Performance of ICGV 9111
Page 32 and 33: Table 2-11: Results of 255 paired c
Page 34 and 35: Table 2-16: Groundnut seed of vario
Page 36 and 37: Infrastructure facilities For effic
Page 38 and 39: Project sites Tamil Nadu The presen
Page 40 and 41: In Karnataka, the PDKV model was pr
Page 42 and 43: Training course A total of four tra
Page 44 and 45: Background The yield of groundnut i
Page 46 and 47: Table 3-2: Groundnut production tre
Page 48 and 49: In order of importance, the largest
Page 52 and 53: Finally, the variety choices are co
Page 54 and 55: hybridization techniques, design of
Page 56 and 57: Figure 3-2: The Malawi model of the
Page 58 and 59: Tanzania TL II has contributed to t
Page 60 and 61: Annex 3-2: Performance of Virginia
Page 62 and 63: Annex 3-4: Regional elite groundnut
Page 64 and 65: 54 Engaging Smallholder Farmers | T
Page 66 and 67: The European Union still remains th
Page 68 and 69: Table 4-2: Proportion of households
Page 70 and 71: Table 4-4: Amount requested, amount
Page 72 and 73: Table 4-6. Comparison of groundnut
Page 74 and 75: The use of other inputs (credit, in
Page 76 and 77: A PVS evaluation was launched in pi
Page 78 and 79: Table 4-10: Locations and contact f
Page 80 and 81: Table 4-11: Mean pod yield (kg per
Page 82 and 83: 99511 (Table 4-12). Most important
Page 84 and 85: Table 4-15: Evaluation of groundnut
Page 86 and 87: A 10-day intensive training worksho
Page 88 and 89: Seed production of all classes A to
Page 90 and 91: Testing seed marketing strategies A
Page 92 and 93: Area Global trends in area under co
Page 94 and 95: Figure 5-3 shows that Nigeria made
Page 96 and 97: much greater deficits. Under this s
Page 98 and 99: and other inputs. • Popular varie
Page 100 and 101:
Mozambique Soybean seed multiplicat
Page 102 and 103:
dry savanna regions, where the bulk
Page 104 and 105:
Number of demonstration plots in ea
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Mozambique Many farmers have shown
Page 108 and 109:
Table 5-7: Number of days to flower
Page 110 and 111:
most efficient and IT99K-7-21-2-2 w
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Table 5-11: Ten SNPs converted and
Page 114 and 115:
Strengthening capacity of national
Page 116 and 117:
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
Page 122 and 123:
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
Page 148 and 149:
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
Page 156 and 157:
Number of NARS technicians trained
Page 158 and 159:
Rain-out shelter in CIAT-Colombia T
Page 160 and 161:
Impact assessment and enhancement P
Page 162 and 163:
Annex 6-2: TL IIEthiopia: decentral
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154 Engaging Smallholder Farmers |
Page 166 and 167:
farmers for enhancing their awarene
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• Designing, testing and implemen
Page 170 and 171:
Andhra Pradesh The overall sample s
Page 172 and 173:
Prakasam district: Crops grown in P
Page 174 and 175:
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
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Capacity building Knowledge empower
Page 184 and 185:
Table 7-15: Training of local seed
Page 186 and 187:
• In addition to yield, maturity
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Introduction Chickpea is grown in E
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Chickpea seed access The first majo
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Grades and standards About 75% of t
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Table 8-6: Varieties used in PVS tr
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private sector lacks the incentive
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• LZARDI-Ukiriguru: Land along wi
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• Establishing functional legume
Page 202 and 203:
Table 9-1: Farmers’ preferred var
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Table 9-3: Baby trials conducted in
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Table 9-5: Reaction of pigeonpea li
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TL II focuses on farmer-participato
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Production of Breeder, Foundation,
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Mahaboobnagar and Ranga Reddy distr
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(Table 9-9 Continued) Particular To
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Chichewa) and Tanzania (Swahili). O
Page 218 and 219:
Available technologies Although imp
Page 220 and 221:
and Chitedze in Malawi showed that
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Table 10-6: Various classes of qual
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Awareness activities Farmers’ fie
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Annex 10-1: Target locations for pi
Page 228 and 229:
Adoption studies Adoption studies f
Page 230 and 231:
3.5 Yields (Tonnes/hectare) 3.0 2.5
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Supply of important traits by the i
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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
Page 242 and 243:
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:
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Final version of Tropical Legumes II Project Report for Phase 1 - icrisat

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