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

More documents

Recommendations

Info

Mozambique Many farmers have shown keen interest in several lines including IT00K-1263, IT97K-1069-6 and IT16 because of their yield performance, drought tolerance, grain color and size. These lines are early maturing and dual purpose producing more leaves which farmers are able to pick and consume before pods are harvested. In 2011, three varieties: IT-16, IT00K-1263 and IT97K-1069-6 were released in Mozambique. Table 5-5: Cowpea varieties released in different countries Variety code Local name Year released IT97K-499-35 SAMPEA-10 Dec. 2008 IT89KD-288 SAMPEA-11 Dec. 2009 IT89KD-391 SAMPEA-12 Dec. 2009 Country Location Average on-farm yield Kg/ha Nigeria Northern guinea/Sudan Savanna region Nigeria Northern guinea/Sudan Savanna region Yield advantage over check (%) 835 60 800 56 Nigeria Savanna region 900 71 IT97K-499-35 Jiguiya Oct 2010 Mali Sahelian Zone (Mopti and Ségou) IT93K-876-30 Fakson Oct 2010 Mali Sahelian Zone (Mopti and Ségou) CZ1-94-23-1 Gana Shoba Mar 2009 Mali Sahelian Zone (Mopti and Ségou) CZ11-94-5C Cinzana Telimani Mar 2009 Mali Sahelian Zone (Mopti and Ségou) 1.000 70 1.500 80 1.500 65 1.000 60 IT97K-499-35 IT 2009 Niger Maradi and Zinder 800 300 IT97K-499-38 IT 2009 Niger Maradi and Zinder 700 200 IT98K-205-8 IT 2009 Niger Maradi, Zinder and 800 300 Dosso IT99K-573-1-1 IT 2010 Niger Maradi 500 100 IT82E-16 (IT-16) 2011 - - 650 100 IT00K-1263 (IT-1263) 2011 - - 800 150 IT97K-1069-6 (IT- 1069) 2011 - - 800 150 G x E analysis The yield data obtained from the 16 improved breeding lines that were tested in all five countries were subjected to GGE biplot analysis. Data from Tanzania were not included in the final analysis due to some discrepancies in yield values. The results of the GGE biplot analysis showed the lines that performed relatively well in some environments compared with others. It also identified locations best suited for cowpea production. According to the analysis, seven genotypes, namely IT97K-1069-6, IT89KD-288, IT98K-166-4, IT97K-819-118, IT96D-610, IT98K-491-4 and IT99K-216-24-2 were the most responsive to the environments. Following a comparison of genotypes with an ‘ideal’ one, it was observed that IT98K-128-3, IT98K-311-8-2 and IT98K-626 were most desirable as they were closest to the ideal. The best lines as identified by the analysis for certain locations were not necessarily the same as those selected by farmers at those locations. Other attributes than yield were taken into consideration while lines were being selected. It is interesting to note that farmers in Tanzania and Mozambique selected 96 Engaging Smallholder Farmers | Tropical Legumes II Project
IT00K-1263 because of its performance while in West Africa farmers in parts of Nigeria, Niger and Mali selected IT97K-499-35 because of its performance and Striga resistance. Support for nationally coordinated cowpea trials in Nigeria In Nigeria, TL II supported the nationally coordinated cowpea trials during 2010. Any crop variety that will be released in the country must go through a nationally coordinated research for the crop. Based on the line’s performance across locations and years, it could be recommended for release. Data collected from these trials will be used to prepare the dossiers that accompany the lines being nominated by the breeders for release. Tables 5-5 and 5-6 show the performances, in terms of grain yield and Striga resistance of some breeding lines that were evaluated nationally in year 2010. These were further evaluated in 2011 and some of them qualified for release when presented to the national committee for crop variety release in the country in December 2011. Table 5-6: Grain yield (kg per ha) of cowpea varieties in the short duration Nationally Coordinated trial at seven locations in Nigeria in 2010. Genotype Abeokuta Ibadan Kano Location Makurdi Sabongari Samaru Tilla Mean IT99K-573-1-1 1205 365 2145 2162 1420 1457 810 1366 IT99K-573-2-1 1157 291 1640 1955 1210 1615 729 1228 IT04K-332-1 1186 211 2049 2258 1048 1180 559 1213 IT04K-333-2 1029 253 1933 2222 1092 1148 741 1202 IT97K-499-35 1152 300 2202 2227 1161 909 373 1189 IT98K-506-1 1099 312 1139 2129 1006 1363 601 1093 IT99K-1060 542 235 1956 2326 1338 700 444 1077 IT96D-610 1334 539 607 1941 1100 998 596 1017 IT99K-491-7 1035 271 1660 1685 1141 843 308 992 IT97K-568-18 647 278 1430 1464 1036 537 438 833 Mean 1039 306 1676 2037 1155 1075 560 1121 Probability 0.2370 0.4262 0.0037 0.0096 0.1370 0.0179 0.2135
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 50 and 51:
Table 3-5: Results of pair-wise com
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
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
Page 112 and 113: Table 5-11: Ten SNPs converted and
Page 114 and 115: Strengthening capacity of national
Page 116 and 117: Infrastructure development at NARS
Page 118 and 119: in Mali, 107.3 MT in Mozambique, an
Page 120 and 121: produced over the first phase of th
Page 122 and 123: Lessons learned TL II cowpea seed s
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 144 and 145: Table 6-15: Farmer evaluation of in
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: 16, and the advantage of some ALB l
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
Page 164 and 165:
154 Engaging Smallholder Farmers |
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
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:
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
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:
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?