Chapter 8 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> maize 147Knight, J. 2003. Crop improvement: a dy<strong>in</strong>g breed. Nature 421: 568–570.Lande, R. & Thompson, R. 1990. Efficiency of <strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> the improvement ofquantitative traits. Genetics 124: 743–756.Lander, E.S. & Botste<strong>in</strong>, D. 1989. Mapp<strong>in</strong>g Mendelian factors underly<strong>in</strong>g quantitative traits us<strong>in</strong>gRFLP l<strong>in</strong>kage maps. Genetics 121: 185–199.Laurie, C.C., Chasalow, S.D., LeDeaux, J.R., McCarroll, R., Bush, D., Hauge, B., Lai, C., Clark,D., Rocheford, T.R. &. Dudley, J.W. 2004. The genetic architecture of response to long-term artificial<strong>selection</strong> for oil concentration <strong>in</strong> the maize kernel. Genetics 168: 2141–2155.Lee, M. 1995. DNA <strong>marker</strong>s <strong>in</strong> plant breed<strong>in</strong>g programs. Adv. Agron. 55: 265–344.Lee, M. 2006. The phenotypic and genotypic eras of plant breed<strong>in</strong>g. In K.R. Lamkey & M. Lee, eds.Plant Breed<strong>in</strong>g: The Arnel R. Hallauer Internat. Symp. Ames, IA, USA, Blackwell Publish<strong>in</strong>g.Lee, M., Sharopova, N., Beavis, W.D., Grant, D., Katt, M., Blair, D. & Hallauer, A.R. 2002.Expand<strong>in</strong>g the genetic map of maize with the <strong>in</strong>termated B73 x Mo17 (IBM) population. PlantMol. Biol. 48: 453–461.L<strong>in</strong>dblad-Toh, K., W<strong>in</strong>chester, E., Daly, M., Wang, D., Hirschhorn, J.N., Laviolette, J.P., Ardie, K.,Reich, D.E., Rob<strong>in</strong>son, E., Sklar, P., Shah, N., Thomas, D., Fan, J.B., G<strong>in</strong>geras, T., Warr<strong>in</strong>gton,J., Patil, N., Hudson, T.J. & Lander, E.S. 2000. Large-scale discovery and genotyp<strong>in</strong>g of s<strong>in</strong>glenucleotidepolymorphisms <strong>in</strong> the mouse. Nature Genet. 24: 381–386.Manly, K.F. & Olson, J.M. 1999. Overview of QTL mapp<strong>in</strong>g software and <strong>in</strong>troduction to MapManager QT. Mamm. Genome 10: 327–334.Mazur, B.J. 1995. Commercializ<strong>in</strong>g the products of plant biotechnology. Trends Biotech. 13:319–323.Melch<strong>in</strong>ger, A.E., Utz, H.F. & Schön, C.C. 1998. Quantitative trait locus (QTL) mapp<strong>in</strong>g us<strong>in</strong>g differenttesters and <strong>in</strong>dependent population samples <strong>in</strong> maize reveals low power of QTL detectionand large bias <strong>in</strong> estimates of QTL effects. Genetics 149: 383–403.Mohan, M., Nair, S., Krishna, T.G., Yano, M., Bhatia, C.R. & Sasaki, T. 1997. Genome mapp<strong>in</strong>g,molecular <strong>marker</strong>s and <strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> crop plants. Mol. Breed. 3: 87–103.Moreau, L., Charcosset, A. & Gallais, A. 2004. Experimental evaluation of several cycles of <strong>marker</strong><strong>assisted</strong><strong>selection</strong> <strong>in</strong> maize. Euphytica 137: 111–118.Moreau, L., Charcosset, A., Hospital, F. & Gallais, A. 1998. Marker-<strong>assisted</strong> <strong>selection</strong> efficiency <strong>in</strong>populations of f<strong>in</strong>ite size. Genetics 148: 1353–1365.Moreau, L., Lemarié, S., Charcosset, A. & Gallais, A. 2000. Economic efficiency of one cycle of<strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong>. Crop Sci. 40: 329–337.Morris, M., Dreher, K., Ribaut, J-M. & Khairallah, M. 2003. Money matters (II): costs of maize<strong>in</strong>bred l<strong>in</strong>e conversion schemes at CIMMYT us<strong>in</strong>g conventional and <strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong>.Mol. Breed. 11: 235–247.Naylor, R.L., Falcon, W.P., Goodman, R.M., Jahn, M.M., Sengooba, T., Tefera, H. & Nelson, R.J.2004. Biotechnology <strong>in</strong> the develop<strong>in</strong>g world: a case for <strong>in</strong>creased <strong>in</strong>vestments <strong>in</strong> orphan crops.Food Policy 29: 15–44.Niebur, W.S., Rafalski, J.A., Smith, O.S. & Cooper, M. 2004. Applications of genomics technologiesto enhance rate of genetic progress for yield of maize with<strong>in</strong> a commercial breed<strong>in</strong>g program.In T. Fischer, N. Turner, J. Angus, L. McIntyre, M. Robertson, A. Borrell & D. Lloyd, eds. Newdirections for a diverse planet. Proc. 4 th Internat. Crop Sci. Congr., Brisbane, Australia. (available atwww.cropscience.org.au/icsc2004).
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iiiContentsAcknowledgementsForeword
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Section v - marker-assisted selecti
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viiForewordSince almost the beginni
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ixAbbreviations and acronymsAATFAB-
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xiFIVIMSFNPFSCFSILGABIGASGCAGCPGDPG
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xiiiOBMOECDOIEOPVPAGEPBRsPCRPGRFAPI
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xvContributorsAmalia BaroneProfesso
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xviiElcio Perpétuo GuimarãesSenio
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xixAndrea SonninoSenior Agricultura
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Chapter 1Marker-assisted selection
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Chapter 1 - An overview of the issu
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Chapter 19Technical, economic and p
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This book provides a comprehensive