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

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xviiFifth Biennial West and Central AfricaRegional Maize Workshop3–6 May 2005, IITA-BéninParticipantsBenin Republic1 Djima, A. CRA-sub-BéninBP 03 AttogonLg57-CotonouEmail: aldjim5@yahoo.fr2 Hell, K. IITA-CotonouBP 08-0932Email: k.hell@cgiar.org3 Kormawa, P. WARDA-CotonouEmail: p.kormawa@cgiar.org4 Oikeh, S. WARDA-CotonouEmail: s.oikeh@cgiar.org5 Toukourou, A.M. BP 03 Attogon, CotonouEmail: mstoukourou@yahoo.fr6 Yallou, C. CRAN-INA BP 884, CotonouEmail: chabiyallou02@yahoo.comBurkina Faso7 Kambire, S.H. (INERA) CREAF de Kamboinse01 BPG 76, OuagadougouEmail: hyacinthe_kambire@hotmail.com8 Ouedraogo, M. OAU/STRC-SAFGRAD01 BP 1783, OuagadougouEmail: mahamao.safgrad@cenatrin.bfCameroon9 Aroga, R. IRAD, NkolbissonBP 2067 YaoundéEmail: r.aroga@coraf.org10 Kameni, A. C/o IRAD BP 415GarouaEmail: anselmekameni@yahoo.com11 Kouebou, C.P. IRAD BP 415 GarouaEmail: kchristiant@yahoo.fr12 Ngoko, Z. IRAD, BambuiBP 80 BamendaEmail: zacheengoko@yahoo.ca
xviii13 Ngonkeu, M.L. IRAD NkolbissonBP 9067 YaoundéEmail: ngonkeu@yahoo.fr14 Ousman, A. CRAN/IMPM BP 6163YaoundéEmail: adjoudji2003@yahoo.fr15 The, C. IRAD PO Box 2067Yaoundé, CameroonEmail: charlesthe@hotmail.comCôte d’Ivoire16 Akanvou, L. CNRA, 07 BP 13 AbidjanE:mail: reneakanvou@yahoo.fr17 Akanvou, R. CNRA, 07 BP 13 AbidjanE:mail: reneakanvou@yahoo.frGhana18 Asiedu, E.A. Crop Research InstitutePO Box 3785, KumasiEmail: e.asiedu@coraf.org19 Ohemeng-Dapaah, S. Crop Research Institute,PO Box 3785, KumasiE:mail: sohemengdapaah@yahoo.comGuinea20 Diallo, P. IRAG, GuineaCRA-Kilissi, BP 1523Email: irag@mirinet.comKenya21 Diallo, A.O. CRAF HOUSE, 21N AvePO Box 1041 village market00621 NairobiEmail: a.o.diallo@cgiar.orgMali22 Coulibaly, N. IER BP 258 BamakoEmail: Ntji.Coulibaly@ier.ml23 Coulibaly, S.S. CRRA/LTA, SotuhaBP 262 BamakoEmail: salimata.sidibe@ier.mlMozambique24 Haag, W.L. Sasakawa Global 2000C.P. 4247, MaputoMozambiqueEmail: w.haag-t@cgnet.com
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 20 and 21: xixNigeria26 Abdullahi, Y.M. NAERLS
Page 22: 1Section1Breeding, SeedSystems and
Page 25 and 26: 4skills of the scientists and impro
Page 27 and 28: 6collaborating scientists. This is
Page 29 and 30: 8fi ndings to their peers. They are
Page 31 and 32: 10Figure 3. Funds received by indiv
Page 33 and 34: 12Percentage PercentageYearFigure 5
Page 35 and 36: 14Figure 9. Coefficient of variatio
Page 37 and 38: 16Figure 15. Total maize grain prod
Page 39 and 40: 18Table 2. Capacity Building of NAR
Page 41 and 42: 20DiscussionResults of the analyses
Page 43 and 44: 22the Lead Country Concept was not
Page 45 and 46: 24Badu-Apraku, B., M.A.B. Fakorede,
Page 47 and 48: 26et des lignées dotées de résis
Page 49 and 50: 28Overview of the strategy for deve
Page 51 and 52: 30Table 1. Characteristics of extra
Page 53 and 54: 32Table 2. Performance of extra-ear
Page 55 and 56: 34Table 3. cont’dInbredlineParent
Page 57 and 58: 36different germplasm and for placi
Page 59 and 60: 38Figure 1. Clustering of 35 extra-
Page 61 and 62: 40Table 4. Number of inbred lines i
Page 63 and 64: 42M’Boob, S.S., 1986. A regional
Page 65 and 66: 44sur la performance de leurs hybri
Page 67 and 68: 46Table 1. Mean grain yield (Mg ha
Page 69 and 70:
48Table 2. Means for grain yield an
Page 71 and 72:
50Table 4. Estimates of GCA effects
Page 73 and 74:
52employed to exploit non-additive
Page 75 and 76:
54deux traitements de sol (O, T). L
Page 77 and 78:
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
Page 85 and 86:
64Combining ability of diverse maiz
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66S. hermonthica and S. asiatica. Y
Page 89 and 90:
68Table 2.Mean squares of grain yie
Page 91 and 92:
70Table 4. Mean squares of grain yi
Page 93 and 94:
72Table 5. Estimates of general com
Page 95 and 96:
74Table 7. Estimates of general com
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76yield under Striga infestation. T
Page 99 and 100:
78Kim, S.K., V.O. Adetimirin and A.
Page 101 and 102:
80Maize accounts for between 30 and
Page 103 and 104:
82VII, XI and V that had grain yiel
Page 105 and 106:
84Table 3. Inter- and intra-cluster
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86interest, including early, medium
Page 109 and 110:
88IntroductionThe multi-environment
Page 111 and 112:
90Table 1: Sums of squares (SS) exp
Page 113 and 114:
922Table 3: Average proportion of t
Page 115 and 116:
94genotypes within the target sets.
Page 117 and 118:
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
Page 127 and 128:
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
Page 135 and 136:
114maize, the highest grain yield a
Page 137 and 138:
116Figure 1. Trend of land area cul
Page 139 and 140:
118ConclusionIn conclusion, the Ins
Page 141 and 142:
120Valencia, J.A. and S.A. Breth. u
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122
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124chimique. L’effet relatif de l
Page 147 and 148:
126Figure 1: Rainfall pattern in Sa
Page 149 and 150:
128Percentage PercentageFigure 2: M
Page 151 and 152:
130Table 2. Effect of organic mater
Page 153 and 154:
132Yield increase and relative yiel
Page 155 and 156:
134Table 5. Relative grain and stov
Page 157 and 158:
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
Page 169 and 170:
Page 171 and 172:
Page 173 and 174:
152in the top 0-15 cm layer and als
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154inoculation and nitrogen fertili
Page 177 and 178:
156RésuméLes besoins du maïs en
Page 179 and 180:
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
Page 185 and 186:
164Figure 3: Grain yield of maize a
Page 187 and 188:
166ConclusionFrom the results of th
Page 189 and 190:
168Tarawali, G., 1991. The residual
Page 191 and 192:
170la variété de maïs tolérant
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172It is necessary to validate that
Page 195 and 196:
174Table 2. Effects of previous cro
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176of cowpea, than in the farmers
Page 199 and 200:
178AcknowledgementsThe authors than
Page 201 and 202:
180Potential of drought-tolerant ma
Page 203 and 204:
182potential in comparison to the t
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184ha -1 . Fields were planted on J
Page 207 and 208:
186Table 3. Means for days to silki
Page 209 and 210:
188DiscussionThe observed effects o
Page 211 and 212:
190the yield potential of the genot
Page 213 and 214:
192Edmeades, G.O., J. Bolanos, M. H
Page 215 and 216:
194Genotypic variation of soybean f
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1962002). Therefore, high BNF in so
Page 219 and 220:
198Experimental layout, planting an
Page 221 and 222:
200At 8 WAP, fi ve plants were rand
Page 223 and 224:
202Figure 1. Relationships between
Page 225 and 226:
204signifi cant correlation (P ≤
Page 227 and 228:
206Table 4. Total N accumulation (k
Page 229 and 230:
208Table 5. Total P in grain (kg ha
Page 231 and 232:
210Table 6. Grain yield (kg ha -1 )
Page 233 and 234:
212colonization in previous RP plot
Page 235 and 236:
214(Table 8). However, within speci
Page 237 and 238:
216maize-after-soybean plots over t
Page 239 and 240:
218The observed trends in grain yie
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220in soybean than in maize grain d
Page 243 and 244:
222IITA (International Institute of
Page 245 and 246:
224Snedecor G.W., Cochran G. (1980)
Page 247 and 248:
226irrigated conditions in the Sahe
Page 249 and 250:
228Figure 1: Variation des tempéra
Page 251 and 252:
230L’espérance de la matrice de
Page 253 and 254:
232Tableau 3. Moyennes des caractè
Page 255 and 256:
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
Page 265 and 266:
244RésuméDes enquêtes sur les ma
Page 267 and 268:
246Field surveysField surveys were
Page 269 and 270:
248Table 1.PathogensMean incidence
Page 271 and 272:
250Table 3. Correlation matrix betw
Page 273 and 274:
252Table 8. Correlation matrix betw
Page 275 and 276:
254Signifi cant correlations were f
Page 277 and 278:
256NCRE, 1994. Annual Report Camero
Page 279 and 280:
258faibles réactions qui indiquent
Page 281 and 282:
260(b) A no-choice situation. In th
Page 283 and 284:
262Table 2. Ovipositional responses
Page 285 and 286:
264Table 5. Larval feeding response
Page 287 and 288:
266Figure 1. Profiles of colonizing
Page 289 and 290:
268on moderately resistant and susc
Page 291 and 292:
270CCE, (Commission des Communauté
Page 293 and 294:
272RésuméLe Striga est une contra
Page 295 and 296:
274the baseline for environmental m
Page 297 and 298:
276Table 1. Percentage of crop and
Page 299 and 300:
278(Emechebe et al. 1991) may have
Page 301 and 302:
280ReferencesAnonymous, 1996. Stati
Page 303 and 304:
282The use of spicy plant oils agai
Page 305 and 306:
284The objectives of the present st
Page 307 and 308:
286% mortality100908070605040302010
Page 309 and 310:
288saturated atmosphere in the dark
Page 311 and 312:
290(Gyllenhal) in stored chick-peas
Page 313 and 314:
292intercropped with groundnut, and
Page 315 and 316:
294du Striga. Les observations ont
Page 317 and 318:
296Tableau 1. Incidence des plants
Page 319 and 320:
298Tableau 4. Contd.LibellésUnité
Page 321 and 322:
300soudure. Le traitement maïs ass
Page 323 and 324:
302Herbicide resistant maize: a nov
Page 325 and 326:
304Figure 1. Striga-prone areas in
Page 327 and 328:
306developed herbicide resistant li
Page 329 and 330:
308geo-referenced data from a farm-
Page 331 and 332:
310Table 2: Grain yield and Striga
Page 333 and 334:
312AcknowledgementsThis research wa
Page 335 and 336:
314Effects of maize-cowpea intercro
Page 337 and 338:
316In Cameroon, maize is commonly i
Page 339 and 340:
318Table 1. Relative abundance and
Page 341 and 342:
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
Page 349 and 350:
328
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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
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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
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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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36070000Nombre de plants à I’hec
Page 383 and 384:
362ISTA (International Seed Testing
Page 385 and 386:
364Togolese Institute of Agricultur
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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
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374300000250000Maïs Mais purMaïs/
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376- Au niveau des tests associatio
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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’
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
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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
Page 465 and 466:
444Table 1. Physicochemical composi
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446Table 2. Steeping time and varie
Page 469 and 470:
448germination. In general, the pea
Page 471 and 472:
450after cooking of maize malted fl
Page 473 and 474:
452Marero, L. M., E.M. Payuma, A.R.
Page 475 and 476:
454Effects of wheat flour replaceme
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456considerably and this is attribu
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458resulting products (fl ours, dou
Page 481 and 482:
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
Page 487 and 488:
466He, H. and R.C. Hoseney, 1991. D
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468Adaptation et utilisation de var
Page 491 and 492:
470Figure 1. Distribution mensuelle
Page 493 and 494:
472chaque semaine. L’essai a dur
Page 495 and 496:
474Resultats et DiscussionsTests ag
Page 497 and 498:
476Tableau 2. Proportions des ingr
Page 499 and 500:
478Tableau 5. Composition de l’al
Page 501 and 502:
480Tableau 7. Coûts financiers de
Page 503 and 504:
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
Page 513 and 514:
4921. Propose approaches/innovation
Page 515 and 516:
494identifi cation, planning and im
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496
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