Four Seasons of Learning and Engaging Smallholder Farmers - icrisat

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Table 6-15: Farmer evaluation of indeterminate bean lines in northern Tanzania Entry Variety #Positive Ribbons #Negative Ribbons Farmers Comments Men Women Men Women Men Women 1 Kg 98 (23) 1 0 3 1 High yield High yield; potential good marketability 2 Kg 98 (18) 2 1 3 1 High yield High yield; potential good marketability 3 Navy Lines (8) 2 1 3 2 Poor yield Poor yield; not good climber 4 Kg 98 (36) 0 2 0 0 Good seed color; palatable 5 Dwarf Climber (6) 2 3 2 1 Good seed color ; palatable Potential good marketability; palatable Potential good marketability; palatable 6 Sarbyt 1 (3) 0 0 4 1 Potential good marketability; palatable 7 Kg 98 (42) 3 5 0 2 Good seed color; palatable 8 Selian 94 1 1 0 3 Good seed color ; palatable 9 KAT B9 1 3 1 0 Good for local dishes 10 Soya 1 3 2 1 11 Selian 05 0 0 2 3 Poor yield; shattering easily Potential good marketability; palatable Potential good marketability; palatable Poor potential marketablity Poor yield 12 Soya Manjano 3 1 2 1 H high yield; palatable Ethiopia Results of selection within the fast track nursery were less successful in the program in Melkassa in the sense that no line convincingly out-yielded a local check, Nasir. This variety proved to be quite drought tolerant, likely due to its history of selection. First, it was originally selected in Honduras in a region that is subject to drought, and thus could have experienced drought pressure during its development. Secondly, a Mexican race Durango accession is among its parental lines, and race Durango has been a source of drought tolerance. On the other hand, recombinant inbred lines introduced as part of a PhD thesis proved to be quite successful for the identification of high yielding navy beans for Ethiopia’s export market, both in managed drought trials in which they out-yielded the check amply (data not shown), and in regional trials (Table 6-16), although in 2010 rainfall was plentiful and yield data do not reflect drought in this particular year. Selections 23 and 80 were especially stable, yielding 11% and 12% more than the elite check Awash-Melka across environments, and 29% and 19% better in the lowest yielding environment (Pawe). (Awash-Melka was distributed as an elite variety under Objective 8.) Disease data were taken at 134 Engaging Smallholder Farmers | Tropical Legumes II Project
all four test sites, although only data from Jimma are shown, given that disease pressure was especially intense there. Several lines were superior to Awash-Melka in resistance, especially line 23 which was superior for reaction to four diseases. In evaluations with traders all lines were quite acceptable, while line 80 was rated very high in canning quality in tests carried out in Italy. Table 6-16: Seed yield (kg per ha) of sixteen small white navy beans (material with Awash 1 genetic background) grown at four location in Ethiopia during the main season of 2010 Entry Variety Location Diseases (Jimma) Pawe Alem Melkassa Jimma Mean ALS CBB Rust FLS Tena 1 ICN Bunsi x SXB 810 2641 3165 1933 2137 405/1C-1C-1C -1 5 8 2 7 2 ICN Bunsi x SXB 731 3854 2972 2270 2457 405/1C-1C-1C -3 5 8 5 7 3 ICN Bunsi x SXB 640 2801 2125 2345 1978 405/8C-1C-1C-13 5 7 8 7 4 ICN Bunsi x SXB 926 3198 3277 1364 2191 405/9C-1C-1C-14 4 6 2 7 5 ICT Bunsi x SXB 1070 2376 3294 2462 2301 405/2C-1C-1C-23 3 4 1 3 6 ICT Bunsi x SXB 769 2833 3165 1641 2102 405/7C-1C-1C-30 5 7 1 6 7 ICT Bunsi x SXB 1077 2381 3077 2266 2200 405/2C-1C-1C-37 4 7 5 6 8 ICT Bunsi x SXB 803 2300 3179 1531 1953 405/5C-1C-1C-51 5 8 3 8 9 ICT Bunsi x SXB 676 2781 3260 2087 2201 405/7C-1C-1C-58 4 6 2 6 10 ICT Bunsi x SXB 929 2239 2683 2102 1988 405/2C-1C-1C-23 3 5 6 7 11 ICT Bunsi x SXB 1064 2353 3479 1487 2096 405/9C-1C-1C-70 4 6 1 6 12 ICT Bunsi x SXB 992 2295 3278 2753 2329 405/4C-1C-1C-80 3 5 3 7 13 ICT Bunsi x SXB 772 2360 2759 2039 1982 405/3C-1C-1C-87 3 6 4 5 14 ICT Bunsi x SXB 810 2336 2510 1950 1901 405/4C-1C-1C-88 5 7 8 7 15 Awash - 1 (check I) 811 1435 2243 2020 1627 4 6 9 8 16 Awash-Melka (check II) 828 2598 3217 1628 2068 5 7 3 8 Mean 857 2549 2980 1992 2094 4 7 4 7 Disease score on a 1-9 scale Malawi Evaluation of the fast track nursery in southern Africa was delayed due to attack of bean stem maggot or bean fly (Ophiomyia spp.), which was exacerbated by late planting of nurseries to increase probability of drought stress. Lines are still being processed, but in the off-season nursery in Kasinthula 51 lines produced 30% more grain that the average of four checks, although almost none beat the best check by this margin. We have noted that lines selected in the Malawian program have performed well in other environments, and local materials might have a degree of tolerance already. Progress of Phase 1 135
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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
Page 94 and 95: 100 Million hectares 80 60 40 20 0
Page 96 and 97: 70 73 76 79 82 85 88 91 94 97 00 03
Page 98 and 99: In Niger, changes in cowpea product
Page 100 and 101: irregular rainfall early in the cro
Page 102 and 103: Table 5-4: Cowpea breeding lines se
Page 104 and 105: Cowpea varieties released The proje
Page 106 and 107: Table 5-8: Number of days to flower
Page 108 and 109: Evaluation for phosphorus-use effic
Page 110 and 111: Figure 5-8: Reactions of some culti
Page 112 and 113: ASS6 ASS64 ASS110 ASS56 Figure 5-9:
Page 114 and 115: Figure 5-10: Meeting of farmers’
Page 116 and 117: The best approach to spread the imp
Page 118 and 119: declining soil fertility, increasin
Page 120 and 121: In Nigeria, the small seed pack app
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Page 124 and 125: Phase I Social Sciences research in
Page 126 and 127: The consequences are that the impro
Page 128 and 129: about half of area share of land al
Page 130 and 131: Figure 6-3: Average area (ha) per h
Page 132 and 133: single lingering bottleneck on whic
Page 134 and 135: In Kenya, the small seed pack appro
Page 136 and 137: Summary, process gains and people r
Page 138 and 139: Fast-Tracking and Technology Genera
Page 140 and 141: Figure 6-6: Distribution of PVS sit
Page 142 and 143: Table 6-12: Yields of fast track bu
Page 146 and 147: While the fast track entries were r
Page 148 and 149: Technology generation Mechanistic s
Page 150 and 151: 60 50 Rainfall Pan evaporation Maxi
Page 152 and 153: Table 6-22: Yield under drought ind
Page 154 and 155: 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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Page 166 and 167: farmers for enhancing their awarene
Page 168 and 169: • 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
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
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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
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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
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Available technologies Although imp
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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
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Adoption studies Adoption studies f
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3.5 Yields (Tonnes/hectare) 3.0 2.5
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Table 11-1: Preferred soybean trait
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The up-scaling program signals the
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Across districts, TGx 1740-2F out-y
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Table 11-9: Communities and famers
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Table 11-14 Average performance of
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Table 11-15: Release notes of the t
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In Nigeria, across locations mean p
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Table 11-21: Grain yield (kg per ha
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Progress in selection of Bradyrhizo
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the major soybean producing localit
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Seed Production and Delivery System
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Table 11-29: Quantity (MT) of Found
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utilization and marketing. In Niger
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Annex 11-2: Tobit Model estimate of
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250 Engaging Smallholder Farmers |
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