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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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148Table 6. Rotation† and fertili
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150Table 9. 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
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322were the predominant predator sp
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324on insect infestation and the as
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326Kareiva, P.M., 1983. Finding and
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328
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330impliquées dans la production d
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332Table 1: Scores assigned for fac
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334Table 2. Characteristics of wome
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336Table 5. Spearman rank correlati
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338farmers are given the appropriat
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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
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- 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 and 394: 372Tableau 7. Evolution des rendeme
- Page 395 and 396: 374300000250000Maïs Mais purMaïs/
- Page 397 and 398: 376- Au niveau des tests associatio
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- 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: 392The production function in equat
- 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
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- 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
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- 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’
- Page 445 and 446: 424Tableau 1. Caractéristiques phy
- Page 447 and 448: 426Tableau 3. Composition chimique
- Page 449 and 450: 428Figure 1. Evolution des rendemen
- Page 451 and 452: 430Maïs-grain (kg.ha -1 )Maïs-gra
- Page 453 and 454: 432Tableau 9. Successions culturale
- Page 455 and 456: 434Maïs-grain (kg.ha -1 )350030002
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- Page 461 and 462: 440ont été analysés pour leur co
- Page 463 and 464: 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
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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