Four Seasons of Learning and Engaging Smallholder Farmers - icrisat

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Across districts, TGx 1740-2F out-yielded the rest of the materials grown with an average yield of 2248 kg per ha. This yield figure across all districts is significantly higher than the check varieties Nasoko and Magoye. It surpassed Nasoko and Magoye by 15% and 38%, respectively. Farmers ranked the test genotypes for various crop growth and post-crop growth traits. For each trait scores of 1-10 were given, where 1= not liked and 10= most liked by farmers. Overall results showed that TGx 1740-2F had the highest scores in many growth traits like earliness, vigor, biomass, pod filling, pod health, seed size followed by Nasoko (Table 11-6). Table 11-3: Grain and fodder yields (kg per ha) of three varieties in PVS trials across four districts (Lilongwe, Dedza, Dowa and Kasungu) in Malawi - 2007/08 growing season Variety Grain yield Fodder yield Ocepara-4 1467 1399 Nasoko 1308 1188 Makwacha 1245 1255 Mean 1340 1281 SE 119 98 P 0.4046 0.3881 National average for 2006/07 was 700 kg per ha, thus the increase ranged from 78% to 109% Table 11-4: Grain yield (kg per ha) of soybean lines in PVS trials in four districts of Malawi - 2008/09 growing season Genotype Lilongwe Dedza Dowa Mean TGx 1740-2F 1820 1100 1326 1415 TGx 1830-20E 1530 860 1016 1135 TGx 1835-10E 1220 720 814 918 Magoye 1120 506 573 733 Mean 1423 797 932 1050 SE 106 81 39 46 P 0.0021 0.0017
Table 11-6: Farmer PVS scores 1 of crop growth traits of soybean genotypes grown in four districts (Lilongwe, Dedza, Dowa and Kasungu) of Malawi - growing 2009/10 season Genotype Earliness Expected yield Vigor Poor soil tolerance Biomass Pod filling Pod health Pod number Seed number TGx 1740-2F 9.5 8.1 8 8.2 7.5 8.2 8.6 8.2 8.8 Nasoko 7.9 8.1 7.8 6.3 7.7 8.6 8.6 7.9 8.8 TGx 1835-10E 7.9 7.7 7.5 7.6 7.0 7.8 8.3 7.5 8.2 TGx 1830-20E 7.2 6.9 7.6 7.7 7.5 7.6 8.2 7.2 8.4 Magoye 6.3 6.7 8.3 7.4 8.3 7.4 7.9 7.6 7.7 Mean 7.8 7.6 8.1 7.4 7.8 8 8.5 7.8 8.6 SE± 0.2 0.3 0.2 0.2 0.2 0.2 0.2 0.2 0.3 LSD (0.05) 0.5 0.8 NS 0.8 0.7 0.7 NS 0.6 NS 1 For each trait scores of 1-10 were given, where 1= not liked and 10= most liked by farmers. During the 2009/10 season, PVS trials were setup across five communities in major soybean growing areas in Zambezia Province: Lioma, Maggige, Tetete, Ruace and Napalame (Table 11-9). Seventy-four farmers (35 females; 39 males) in the five communities were involved. Data from the trials indicated that the yields for the new genotypes in general were two to three times higher than the local checks in all the communities (Table 11-10). Table 11-7: Communities and farmers involved in farmer-managed PVS soybean trials in Zambezia Province, Mozambique - 2008/09 growing season Community Men Women Total Ruace 22 8 30 Lioma 3 3 6 Tetete 7 8 15 Serra 11 2 13 Maggige 3 1 4 Total 46 22 68 Table 11-8: Mean grain yield (kg per ha) of soybean genotypes in farmer-managed PVS trials in five communities in Zambezia Province, Mozambique- 2008/09 growing season Genotype Ruace Tetete Magige Lioma Serra TGx 1740-2F 3348a 2100a 3117a 3013a 2431a TGx 1908-8F 3129bc 1956ab 2883a 2904a 2171b TGx 1904-6F 3002c 1839a 2925a 2652a 2065b TGx 1937-1F 3083c 1904ab 2967a 2584a 2095b TGx 1485-1D 3220ab 2075a 3033a 2719a 2212ab Storm (check) 2397d - - 2585a 1610c Santa Rosa (check) 1770e 1217c 1750b 1625b 1255d Safari (check) 1567e 1049c 251c - 1810bc Santa (check) 1771e 576d - 1734b - CV (%) 7.07 14.79 6.98 13.65 10.69 P (Genotype)
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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
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Cost-benefit analysis for chickpea
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Identification of farmer-and-market
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Table 7-6: Breeder Seed of differen
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Capacity building Knowledge empower
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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 226 and 227: 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
Page 232 and 233: Table 11-1: Preferred soybean trait
Page 234 and 235: The up-scaling program signals the
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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