Demand-Driven Technologies for Sustainable Maize ... - IITA

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1Section1Breeding, SeedSystems and Statistics
Page 2 and 3: iDemand-Driven Technologies forSust
Page 4 and 5: iiiContentsPrefacePréfaceForewordA
Page 6 and 7: vAssessment of Striga infestation i
Page 8 and 9: viiPrefaceThe West and Central Afri
Page 10 and 11: ixendosperm maize varieties, 95 TZE
Page 12 and 13: Les agriculteurs de la savane guin
Page 14 and 15: xiiiForewordMaize (Zea mays L) is o
Page 16 and 17: xvAvant proposLe maïs (Zea mays L)
Page 18 and 19: xviiFifth Biennial West and Central
Page 20 and 21: xixNigeria26 Abdullahi, Y.M. NAERLS
Page 24 and 25: 3A review of NARES-IARC-Donor colla
Page 26 and 27: 5communication des chercheurs et l
Page 28 and 29: 7ObjectivesSeveral reports have bee
Page 30 and 31: 9Figure 1. Funds allocated to colla
Page 32 and 33: 11Table 1. Total fund allocation (
Page 34 and 35: 13Figure 7. Relationship between gr
Page 36 and 37: 15Seed (t)Figure 12. Cumulative cer
Page 38 and 39: 17Figure 17. Grain yield/unit land
Page 40 and 41: 19Table 4. Maize varieties transfer
Page 42 and 43: generate new, improved technologies
Page 44 and 45: 23their specifi c situations. For e
Page 46 and 47: 25Recent advances in breeding for S
Page 48 and 49: Despite the high potential of maize
Page 50 and 51: 29locations, 25-30% of the top rank
Page 52 and 53: were signifi cant for all traits un
Page 54 and 55: 33Table 3. Grain yield and other ag
Page 56 and 57: 35days to silking and ear aspect un
Page 58 and 59: (Table 3). This prompted the use of
Page 60 and 61: Figure 2. Clustering of 35 extra-ea
Page 62 and 63: 41STR S6 INB 55 B-1-2, TZEE-W SR BC
Page 64 and 65: 43Genetic analysis of drought toler
Page 66 and 67: 45similar results for a set of dial
Page 68 and 69: 60 kg N, 60 kg P and 60 kg K ha -1
Page 70 and 71: 49Table 3. Percentages of the sums
Page 72 and 73:
51Table 5. Phenotypic correlation c
Page 74 and 75:
53Contribution of introduced inbred
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55Eticha et al. 2005). Considerable
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57Table 2. Soil characteristics of
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59Table 5. Mean grain yield (t/ha)
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61Table 7. General combining abilit
Page 84 and 85:
Rhue, R.D., C.O. Grogan, E.W. Stock
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65RésuméStriga hermonthica (Del.)
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67Table 1. Names and origin of the
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69Table 3. Mean squares of grain yi
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The larger GCA than SCA mean square
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73Table 6. Estimates of general com
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75Table 8. Percentage of significan
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ReferencesAdetimirin, V.O., M.E. Ak
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79Evaluation of divergence of agron
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81Table 1. Mean squares from the co
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83Table 2. Cluster mean values for
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85Table 4. Number and names of geno
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87Inadequately generated index impr
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89model, however, has attracted som
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91Method for estimating Complement
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932Table 4. The mean, median and th
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952Table 5. Proportion of interacti
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Mackenzie, D. R., A.G. Mexas, K.W.
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99localités (Wenchi, Nkoranza, Eju
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101at the rate of 90:60:30 NPK/ha a
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103Figure 3. Thousand seed weight o
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105Figure 6. Mean grain yield (t/ha
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107Maize research at IAR SamaruS.G.
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Varietal ImprovementThe Maize Varie
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111with higher yield potential and
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113established. Out of six hybrids
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115In 1983, in collaboration with I
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117Figure 2. Production trend for m
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Fajemisin, J.M., B. Badu-Apraku and
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121Section2Agronomy andPhysiology
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123Effect of organic and inorganic
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125Farmers in Nigeria use a wide ra
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127Table 1. Initial physico-chemica
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increased grain yield in the follow
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131Grain yield (kg ha -1 )4 0003 50
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133Table 4. Relative grain and stov
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135materials at zero chemical ferti
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Uyovbisere, E.O., K.A. Elemo, and B
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139RésuméDes variations génotypi
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141Bala et al. (2003) recorded maiz
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143Table 1. Grain yield of maize an
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145Table 2. The F-ratios determined
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1472.1*10 6 kg, the additional tota
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149Table 8. Rotation† and fertili
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151with low C:N ratio. This residue
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and E.M.A. Smaling (eds.) Restoring
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155Contributions of nitrogen from g
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Oikeh et al. 1998) and grain legume
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159Experimental design and treatmen
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161Results and DiscussionTotal and
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163Figure 1: Grain yields of maize
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165Figure 4: Maize grain yield afte
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unguiculata (L) Walp] and their rel
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169Effects of sole cropping, interc
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et al. (2003) found that tolerant m
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173Table 1. Effects of sole and int
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175Table 3. Effects of previous cro
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177Berner et al. 1996; Carsky et al
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Kuchinda, N.C., I. Kureh, B.D. Tarf
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181RésuméLes savanes guinéennes
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183Table 1. Physio-chemical charact
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185Table 2. Characteristics of maiz
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187Figure 1. Yield performance of m
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(a measure of the root systems) and
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191AcknowledgementsWe thank IITA, U
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Oikeh, S.O., J.G. Kling, W.J. Horst
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195RésuméLe soja qui est relative
Page 218 and 219:
197Table 1. Physico-chemical charac
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199of BNF to the N balance of the s
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201Table 2. Grain yield (kg ha -1 )
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203Table 3. Phosphorus use and resp
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205DaviéFigure 3. Nitrogen fixatio
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207P uptake in grainPhosphorus expo
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209Grain yield of maize following s
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211Table 7. VAM colonization of roo
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213Table 8. Total N exported in gra
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215Table 9. Total P exported in gra
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more likely to have an impact on fa
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availability in these savanna soils
Page 242 and 243:
Bagayoko M., George E., Römheld V.
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Obi M.E. (1999). The physical and c
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225Etude de l’adaptabilité de va
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227a été développée par Yates e
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229Méthodes d’étude de la stabi
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231Tableau 1. Analyse de variance s
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233Tableau 4. Tableau d’ANOVA du
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235Tableau 7. Table d’ANOVA du mo
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237Variable: rendement/haFigure 3:
Page 260 and 261:
RéférencesComstock, R.E. and R.H.
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241Section3Integrated PestManagemen
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243Present status of maize diseases
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245expansion of the area under cult
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247on disease distribution and the
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249Signifi cant correlation coeffi
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251Table 6. Mean disease severity r
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country. Sample sizes and method of
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255could take place without artifi
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257Colonization of resistant and su
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259Table 1. Maize genotypes used to
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261examined and the area of the les
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263Table 3. S. calamistis larval ar
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265Table 6. Feeding of third instar
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DiscussionOviposition intensity in
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269to acknowledge Mr S.I. Odubiyi a
Page 292 and 293:
271Assessment of Striga infestation
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eduction or absence of rotation and
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275physiological maturity while the
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277Table 2. Plant counts/ha (x1000)
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279pressure. This could be because
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Ransom, J.K., G.D. Odhiambo, R.E. E
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283montré une activité insecticid
Page 306 and 307:
285Evaluation of the insecticidal a
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287Table 1. Insecticidal effects by
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Don-Pedro, K.N., 1989. Mechanisms o
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291Amélioration du rendement et de
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293production de biomasse pour assu
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295RésultatsEvaluation des plants
Page 318 and 319:
297Tableau 2. Rendement grain (kg/h
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299Tableau 6. Analyse marginale des
Page 322 and 323:
RéférencesAlimi, T. and V.M. Many
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303en Afrique. La lutte contre le s
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305roots. Kanampiu et al. (2002) re
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307and planted into 10-row plots, e
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309Table 1: Grain yield (t/ha), agr
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311tons. At a grain price of 160 US
Page 334 and 335:
Kanampiu, F.K., S. Mugo, A. Diallo,
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315pouvaient pas toujours être obt
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317for the researcher-managed trial
Page 340 and 341:
319Table 2. Abundance of maize stem
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321Table 5. Abundance of maize stem
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323Table 6. Marginal Benefit-Cost R
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325Maize-cowpea intercropping, whic
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327Section4Economics andExtension
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329Increasing employment opportunit
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331At present in Nigeria there is a
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333having a poor level of participa
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335Table 3. Level of involvement in
Page 358 and 359:
337increased income while 44% had i
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339Spatial distribution of farm plo
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indeed many dimensions to the issue
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343The groups were supplied with tr
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345Table 3. Component crops in maiz
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347Insurance againstcrop failure 20
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349Table 5.Distribution of maize fa
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351Table 6. Significant parameter e
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353ConclusionThis paper contains th
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355Influence du mode d’egrenage s
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357Matériel et MéthodesZone d’
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359Pourcentages des plantules anorm
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361manuel qui donne un fort taux de
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363Promotion des nouvelles variét
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365productivité des céréales (Fu
Page 388 and 389:
367Tableau 1. Cycle des différente
Page 390 and 391:
369Tableau 4. Rendement des variét
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37118001600RendementRevenu140000120
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373Tableau 8. Rendements (kg/ha), e
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375Sensibilisation des producteurs
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377Socio-economic determinants of f
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379focus on using all available nut
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381fertilizer-use intensity, those
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383Table 2. Levels of fertilizer us
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385fertilizer since cash availabili
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Kyiogwon, U.B., A.O. Ogungbile, and
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389considérables des potentiels de
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391The production technology of a f
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393Farm-specific efficiencyFor the
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395Table 1. Descriptive statistics
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397Table 4. Factors affecting the p
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399On the other hand, none of the v
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Schultz, T.W., 1964. Transforming t
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403maïs dans les zone de savanne g
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405the task environment, the projec
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407Table 2. Number and percentage o
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409marketing the seed, about 85% of
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411Economic analysis of quality pro
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production in Nigeria rose from 6.5
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415Results and DiscussionCost eleme
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417Profitability analysisThe profi
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419Table 6. Farm size, planting dat
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In B. Badu-Apraku, M.A.B. Fakorede,
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423AbstractThe objective of this ex
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425Tableau 2. Caractéristiques phy
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427Tableau 5. Succession des cultur
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429Tableau 7. Successions culturale
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431Tableau 8. Effet des traitements
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433Maïs-grain (kg.ha -1 )Figure 4.
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435Sur le site de Sidéradougou :La
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437Section5Postharvest andUtilizati
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439Evaluation of amylase-rich flour
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441processing is considered the bes
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443w/v) was shaken and centrifuged
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44560aHydration (%)50403020CMS 8501
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447CMS 8501 CMS 870488094xM131xExp2
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449their malts had lower α-amylase
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Bressani, R. and E.T. Mertz, 1958.
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et nutrition dans les pays en déve
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455adéquate pour la fabrication de
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457Maize grainsaMaize floursWheat f
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459Results and DiscussionPhysico-ch
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461WAC (%)CMS 8501 CMS 9015CMS 8704
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463Table 2. Sensory scores of Makal
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465Sensory evaluation results showe
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Pyler, E.J., 1979. Baking science a
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469performance and consumer prefere
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471une dominance de Chromolena odor
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473du maïs QPM, à la fréquence d
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475Tableau 1. Caractéristiques agr
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477Tableau 4. Indices de consommati
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479Systèmes d’organisationLes ex
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481Tableau 8. Ratios d’intensité
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483Tableau 9. Distribution des cons
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NRC (National Research Council), 19
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487Report andRecommendations
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489Report and Recommendations on th
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4913. The community-based seed prod
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4936. Development and testing of St
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495should work closely with food te
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