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

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373Tableau 8. Rendements (kg/ha), et ratio équivalent terre dans lesassociations maïs/niébé dans les régions de la Kara et desSavanes en 2004.Région Paysans MaïspurKaraPaysan 1Paysan 2Paysan 3Paysan 4Paysan 5Paysan 6Paysan 71500300018002800220020001500Maïs associéavec niébé1400120012001500200018001200Niébépur35060060060060018001000Niébéassocié300300500400500450300LER1,700,901,531,241,741,151,10Moyenne Kara 2114,3 1471,4 792.9 392,9 1,33Paysan 1Paysan 21750275012502350120012256005001,211,29Savanes Paysan 3Paysan 4Paysan 5Paysan 6Paysan 719501350215022501900162592513501750105095065075011006505004003506005501,351,321,131,351,39Moyenne Savanes 2014,3 1471,4 932.1 500,0 1,29Tableau 9. Rendements (kg/ha), et ratio équivalent terre dans les associationsmaïs/soja dans les régions de la Kara et des Savanes.Région Paysans MaïspurKaraPaysan 1Paysan 2Paysan 3Paysan 4Paysan 5Paysan 6Paysan 71500300018002800220020001500Maïsassociéau Soja1450300012002400220016001300Soja pur40060012005003009101950Soja associé280300300300450500450LER1,621,500,951,461,661,351,09Moyenne Kara 2114,3 1878,6 837,1 368,6 1,37Paysan 1Paysan 2Paysan 3Paysan 4175027501950135010502150147085090090011004504504006002501,101,241,331,23Savanes Paysan 5Paysan 6Paysan 7215022501900115015559005509507503004505001,071,161,16Moyenne Savanes 2014,3 1303.6 800.0 421.5 1,18améliorer la productivité du sol comme l’ont prouvé d’autres auteurs(Salez 1985, Marathe, 1994, Toky et al 1995) et plusieurs autres activitésmenée avec WECAMAN au Togo. L’essentiel de ce travail n’étaitpas de démontrer à travers des analyses de sols que les légumineusesaméliorent la fertilité des sols mais d’amener les agriculteurs à comprendrela pratique et à s’en approprier.
374300000250000Maïs Mais purMaïs/Soja Mais/SojaMaïs/NiébéMais/Niebe200000FCFA150000100000500000Region Kara Region Savanes Moyenne Karaet SavanesFigure 3: Revenus provenant des différentes pratiques culturales.Le revenu est calculé en prenant en compte le coût des intrants et dela main d’œuvre, du labour jusqu’à l’égrenage. Le coût de productioncalculé plus haut (115250FCFA) est utilisé pour évaluer la rentabilitédu maïs. A ce coût a été ajouté le coût de production de la légumineusepour calculer le revenu obtenu à partir de l’association culturale.Pour le soja : 500 F/kg de semences de soja x 25kg/ha = 12500FMain d’œuvre :=15000 FLe Coût de production maïs/soja = 115250 F + 12500 F + 15000F=142750FPour le niébé : 500F/kg x 8 Kg de semences = 4000 FMain d’œuvre : 15000 FLe Coût de production maïs/niébé = 115250 F + 4000F + 10000F =129250FLe prix moyen du kg des légumineuses était à 300 F pour leniébé et a 275 pour le sojaDes marges bénéfi ciaires de 201895 F et 186895 F sont obtenuspour le mais en culture pure dans la région de la Kara et des Savanesrespectivement (Figure 3) L’association maïs/soja et l’association maïs/niébé donnent des meilleurs revenus dans la Kara et les Savanesrespectivement confi rmant ainsi la rentabilité de l’association maïs/légumineuses non seulement en terme d’amélioration de la fertilitédes sols mais aussi des revenus du producteur.
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iDemand-Driven Technologies forSust
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iiiContentsPrefacePréfaceForewordA
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vAssessment of Striga infestation i
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viiPrefaceThe West and Central Afri
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ixendosperm maize varieties, 95 TZE
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Les agriculteurs de la savane guin
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xiiiForewordMaize (Zea mays L) is o
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xvAvant proposLe maïs (Zea mays L)
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xviiFifth Biennial West and Central
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xixNigeria26 Abdullahi, Y.M. NAERLS
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1Section1Breeding, SeedSystems and
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4skills of the scientists and impro
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6collaborating scientists. This is
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8fi ndings to their peers. They are
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10Figure 3. Funds received by indiv
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12Percentage PercentageYearFigure 5
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14Figure 9. Coefficient of variatio
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16Figure 15. Total maize grain prod
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18Table 2. Capacity Building of NAR
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20DiscussionResults of the analyses
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22the Lead Country Concept was not
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24Badu-Apraku, B., M.A.B. Fakorede,
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26et des lignées dotées de résis
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28Overview of the strategy for deve
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30Table 1. Characteristics of extra
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32Table 2. Performance of extra-ear
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34Table 3. cont’dInbredlineParent
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36different germplasm and for placi
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38Figure 1. Clustering of 35 extra-
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40Table 4. Number of inbred lines i
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42M’Boob, S.S., 1986. A regional
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44sur la performance de leurs hybri
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46Table 1. Mean grain yield (Mg ha
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48Table 2. Means for grain yield an
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50Table 4. Estimates of GCA effects
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52employed to exploit non-additive
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54deux traitements de sol (O, T). L
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56Table 1. Characteristic of 15 par
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58Table 4. Diallel analysis of vari
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60Table 6. Number of adapted x adap
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62ConclusionThe results of this stu
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64Combining ability of diverse maiz
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66S. hermonthica and S. asiatica. Y
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68Table 2.Mean squares of grain yie
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70Table 4. Mean squares of grain yi
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72Table 5. Estimates of general com
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74Table 7. Estimates of general com
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76yield under Striga infestation. T
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78Kim, S.K., V.O. Adetimirin and A.
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80Maize accounts for between 30 and
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82VII, XI and V that had grain yiel
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84Table 3. Inter- and intra-cluster
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86interest, including early, medium
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88IntroductionThe multi-environment
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90Table 1: Sums of squares (SS) exp
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922Table 3: Average proportion of t
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94genotypes within the target sets.
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96residual interaction matrix has b
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98Effects of farmers’ seed source
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100known. The objective of this stu
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102AFigure 1. (A) Percentage seeds
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104zFigure 5. Mean days to 50% silk
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106ReferenceAsiedu, E.A., Twumasi-A
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108Mexique et les USA. Dans les ann
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110In collaboration with the Intern
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112to farmers. Recommendations had
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114maize, the highest grain yield a
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116Figure 1. Trend of land area cul
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118ConclusionIn conclusion, the Ins
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120Valencia, J.A. and S.A. Breth. u
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122
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124chimique. L’effet relatif de l
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126Figure 1: Rainfall pattern in Sa
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128Percentage PercentageFigure 2: M
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130Table 2. Effect of organic mater
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132Yield increase and relative yiel
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134Table 5. Relative grain and stov
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136Dudal, R., 2002. Forty years of
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138Residual benefits of soybean gen
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140The cultivation of leguminous cr
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142(IITA), natural fallow and a lat
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144on exchangeable Ca, exchangeable
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146Table 4. Rotation† and fertili
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152in the top 0-15 cm layer and als
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154inoculation and nitrogen fertili
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156RésuméLes besoins du maïs en
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158Table 1. Monthly distribution an
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160was applied about 5 cm deep, mad
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162Table 3. Effects of legumes and
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164Figure 3: Grain yield of maize a
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166ConclusionFrom the results of th
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168Tarawali, G., 1991. The residual
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170la variété de maïs tolérant
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172It is necessary to validate that
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174Table 2. Effects of previous cro
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176of cowpea, than in the farmers
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178AcknowledgementsThe authors than
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180Potential of drought-tolerant ma
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182potential in comparison to the t
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184ha -1 . Fields were planted on J
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186Table 3. Means for days to silki
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188DiscussionThe observed effects o
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190the yield potential of the genot
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192Edmeades, G.O., J. Bolanos, M. H
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194Genotypic variation of soybean f
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1962002). Therefore, high BNF in so
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198Experimental layout, planting an
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200At 8 WAP, fi ve plants were rand
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202Figure 1. Relationships between
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204signifi cant correlation (P ≤
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206Table 4. Total N accumulation (k
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208Table 5. Total P in grain (kg ha
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210Table 6. Grain yield (kg ha -1 )
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212colonization in previous RP plot
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214(Table 8). However, within speci
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216maize-after-soybean plots over t
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218The observed trends in grain yie
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220in soybean than in maize grain d
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222IITA (International Institute of
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224Snedecor G.W., Cochran G. (1980)
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226irrigated conditions in the Sahe
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228Figure 1: Variation des tempéra
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230L’espérance de la matrice de
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232Tableau 3. Moyennes des caractè
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234Tableau 6. Table d’ANOVA du mo
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236Tableau 8. Table d’ANOVA du mo
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238seconde stratégie répond bien
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240
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242
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244RésuméDes enquêtes sur les ma
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246Field surveysField surveys were
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248Table 1.PathogensMean incidence
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250Table 3. Correlation matrix betw
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252Table 8. Correlation matrix betw
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254Signifi cant correlations were f
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256NCRE, 1994. Annual Report Camero
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258faibles réactions qui indiquent
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260(b) A no-choice situation. In th
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262Table 2. Ovipositional responses
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264Table 5. Larval feeding response
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266Figure 1. Profiles of colonizing
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268on moderately resistant and susc
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270CCE, (Commission des Communauté
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272RésuméLe Striga est une contra
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274the baseline for environmental m
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276Table 1. Percentage of crop and
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278(Emechebe et al. 1991) may have
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280ReferencesAnonymous, 1996. Stati
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282The use of spicy plant oils agai
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284The objectives of the present st
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286% mortality100908070605040302010
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288saturated atmosphere in the dark
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290(Gyllenhal) in stored chick-peas
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292intercropped with groundnut, and
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294du Striga. Les observations ont
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296Tableau 1. Incidence des plants
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298Tableau 4. Contd.LibellésUnité
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300soudure. Le traitement maïs ass
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302Herbicide resistant maize: a nov
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304Figure 1. Striga-prone areas in
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306developed herbicide resistant li
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308geo-referenced data from a farm-
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310Table 2: Grain yield and Striga
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312AcknowledgementsThis research wa
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314Effects of maize-cowpea intercro
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316In Cameroon, maize is commonly i
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318Table 1. Relative abundance and
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320Table 4. Maize stem borers’ st
Page 343 and 344: 322were the predominant predator sp
Page 345 and 346: 324on insect infestation and the as
Page 347 and 348: 326Kareiva, P.M., 1983. Finding and
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Page 351 and 352: 330impliquées dans la production d
Page 353 and 354: 332Table 1: Scores assigned for fac
Page 355 and 356: 334Table 2. Characteristics of wome
Page 357 and 358: 336Table 5. Spearman rank correlati
Page 359 and 360: 338farmers are given the appropriat
Page 361 and 362: 340RésuméUne étude combinée de
Page 363 and 364: 342ZamfaraStateKatsinaStateFigure 1
Page 365 and 366: 344Table 1. Relative radii of the f
Page 367 and 368: 346Table 4. Number of crops grown i
Page 369 and 370: 348Figure 3: Concentric circles ref
Page 371 and 372: 350No. Maize farmersFigure 4: Facto
Page 373 and 374: 352Table 8. Trend of farmers rating
Page 375 and 376: 354Gyasi, K.O, L.N. Abateisina, T.
Page 377 and 378: 356Bénin. Seed quality was determi
Page 379 and 380: 358Tableau 1. Moyenne des différen
Page 381 and 382: 36070000Nombre de plants à I’hec
Page 383 and 384: 362ISTA (International Seed Testing
Page 385 and 386: 364Togolese Institute of Agricultur
Page 387 and 388: 366variété améliorée et un tém
Page 389 and 390: 368Tableau 2. Cycle des différente
Page 391 and 392: 370Tableau 6. Rendement des variét
Page 393: 372Tableau 7. Evolution des rendeme
Page 397 and 398: 376- Au niveau des tests associatio
Page 399 and 400: 378à base de maïs dans le Nord de
Page 401 and 402: 380Two States (Kaduna and Katsina),
Page 403 and 404: 382Table 1. Percentage of farm hous
Page 405 and 406: 384Table 3. Socio-economic factors
Page 407 and 408: 386AcknowledgementThe authors are g
Page 409 and 410: 388Unexploited yield and profitabil
Page 411 and 412: 390and input combinations. A number
Page 413 and 414: 392The production function in equat
Page 415 and 416: 394host of socio-economic and insti
Page 417 and 418: 396Table 3. Frequency distribution
Page 419 and 420: 398The adjusted R-squared value and
Page 421 and 422: 400Assefa, A., 1995. Analysis of pr
Page 423 and 424: 402Socio-economics of community-bas
Page 425 and 426: 404seed at affordable price to farm
Page 427 and 428: 406Table 1. Socio-economic profiles
Page 429 and 430: 408Table 3. Average labor costs and
Page 431 and 432: 410ReferencesAhmed, B., 1994. Econo
Page 433 and 434: 412communautaire de semences de ma
Page 435 and 436: 414producing QPM seed at the commun
Page 437 and 438: 416Table 1. Cost elements (N/ha) in
Page 439 and 440: 418Table 3. Gross income (N/ha) fro
Page 441 and 442: 420Conclusion and RecommendationsTh
Page 443 and 444: 422Effets de la rotation et de l’
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424Tableau 1. Caractéristiques phy
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426Tableau 3. Composition chimique
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428Figure 1. Evolution des rendemen
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430Maïs-grain (kg.ha -1 )Maïs-gra
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432Tableau 9. Successions culturale
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434Maïs-grain (kg.ha -1 )350030002
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436
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438
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440ont été analysés pour leur co
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442A=(M’-M) x 100/M + A o(1)where
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444Table 1. Physicochemical composi
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446Table 2. Steeping time and varie
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448germination. In general, the pea
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450after cooking of maize malted fl
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452Marero, L. M., E.M. Payuma, A.R.
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454Effects of wheat flour replaceme
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456considerably and this is attribu
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458resulting products (fl ours, dou
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460Table 1. Physico-chemical proper
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462CMS 8806 CMS 8704CMS 9015 CMS 85
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46439.8We ight(g)39.639.439.2390%10
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466He, H. and R.C. Hoseney, 1991. D
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468Adaptation et utilisation de var
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470Figure 1. Distribution mensuelle
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472chaque semaine. L’essai a dur
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474Resultats et DiscussionsTests ag
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476Tableau 2. Proportions des ingr
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478Tableau 5. Composition de l’al
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480Tableau 7. Coûts financiers de
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482des demandeurs à payer et est d
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484ConclusionNotre étude montre qu
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486
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488
Page 511 and 512:
490Breeding, Seed Production and St
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4921. Propose approaches/innovation
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494identifi cation, planning and im
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496
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