marker-assisted selection in wheat

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Chapter 10 – Strategies, limitations and opportunities for marker-assisted selection in livestock 183ReferencesAndersson, L. 2001. Genetic dissection of phenotypic diversity in farm animals. Nature Revs. Genet.2: 130–138.Chaiwong, N., Dekkers, J.C.M., Fernando, R.L. & Rothschild, M.F. 2002. Introgressing multipleQTL in backcross breeding programs of limited size. Proc. 7 th Wld. Congr. Genet. Appl. Livest.Prodn. Electronic Communication No. 22: 08. Montpellier, France.Darvasi, A. & Soller, M. 1995. Advanced intercross lines: an experimental population for fine geneticmapping. Genetics 141: 1199–1207.Dekkers, J.C.M. & van Arendonk, J.A.M. 1998. Optimizing selection for quantitative traits withinformation on an identified locus in outbred populations, Genet. Res. 71: 257–275.Dekkers, J.C.M. 2004. Commercial application of marker- and gene-assisted selection in livestock:strategies and lessons. J. Anim. Sci. 82: E313–E328.Dekkers J.C.M. & Chakraborty, R. 2001. Potential gain from optimizing multi-generation selectionon an identified quantitative trait locus. J. Anim. Sci. 79: 2975–2990.Dominik, S., Henshall, J., O’Grady, J. & Marshall, K.J. 2007. Factors influencing the efficiency of amarker assisted introgression program in merino sheep. Genet. Sel. Evol. In press.Farnir, F., Coppieters, W., Arranz, J.-J., Berzi, P., Cambisano, N., Grisart, B., Karim, L., Marcq,F., Moreau, L., Mni, M., Nezer, C., Simon, P., Vanmanshoven, P., Wagenaar, D. & Georges, M.2000. Extensive genome-wide linkage disequilibrium in cattle. Genome Res. 10: 220–227.Fernando, R.L. 2004. Incorporating molecular markers into genetic evaluation. Session G6.1. Proc.55th Meeting of the European Association of Animal Production. 5–9 September 2004, Bled,Slovenia.Fernando, R.L. & Grossman, M. 1989. Marker-assisted selection using best linear unbiased prediction.Genet. Sel. Evol. 21: 467–477.Gibson, J.P. 1994. Short-term gain at the expense of long-term response with selection of identifiedloci, Proc. 5 th Wld. Cong. Genet. Appl. Livest. Prodn. CD-ROM Communication No. 21: 201–204.University of Guelph, Canada.Goddard, M.E. & Meuwissen, T.H.E. 2005. The use of linkage disequilibrium to map quantitativetrait loci. Austr. J. Exp. Agric. 45: 837–845.Heifetz, E.M., Fulton, J. E., O’Sullivan, N., Zhao, H., Dekkers, J.C.M. & Soller, M. 2005. Extentand consistency across generations of linkage disequilibrium in commercial layer chicken breedingpopulations. Genetics 171: 1173–1181.Hospital, F. & Charcosset, A. 1997. Marker-assisted introgression of quantitative trait loci. Genetics147: 1469–1485.International Chicken Polymorphism Map Consortium. 2004. A genetic variation map for chickenwith 2.8 million single nucleotide polymorphisms. Nature 432: 717–722.Kinghorn, B.P. 1999. Use of segregation analysis to reduce genotyping costs. J. Anim. Breed. Genet.116: 175–180.Kinghorn, B.P., Meszaros, S.A. & Vagg, R.D. 2002. Dynamic tactical decision systems foranimal breeding, Proc. 7 th Wld. Congr. Genet. Appl. Livest. Prodn. Communication No. 23-07.Montpellier, France.Koudandé, O.D., Iraqi, F., Thomson, P.C., Teale, A.J. & van Arendonk, J.A.M. 2000. Strategiesto optimize marker-assisted introgression of multiple unlinked QTL. Mammal. Genome 11:145–150.
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MARKER-ASSISTED SELECTIONCurrent st
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iiiContentsAcknowledgementsForeword
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Section v - marker-assisted selecti
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viiithe specific gene or chromosome
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CIATCIMMYTCIPCIRADcMCMDCMVCORPOICAC
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xiiISNARISSRITPGRFAJGIKARILDLDLLD-M
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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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16Marker-assisted selection - Curre
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Chapter 3Molecular markers for use
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