marker-assisted selection in wheat

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Chapter 12 – Marker-assisted selection in dairy cattle 223Brascamp, E.W., van Arendonk J.A.M. & Groen A.F. 1993. Economic appraisal of the utilization ofgenetic markers in dairy cattle breeding. J. Dairy Sci. 76: 1204–1213.Cantet, R.J.C. & Smith, C. 1991. Reduced animal model for marker assisted selection using bestlinear unbiased prediction. Genet. Sel. Evol. 23: 221–233.Cohen-Zinder, M., Seroussi, E., Larkin, D.M., Loor, J.J., Everts-van der Wind, A., Lee, J.H.,Drackley, J.K., Mark R. Band, M.R., Hernandez, A.G., Shani, M., Lewin, H.A., Weller, J.I. &Ron, M. 2005. Identification of a missense mutation in the bovine ABCG2 gene with a major effecton the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle. GenomeResearch 15: 936–944.Coppieters, W., Kvasz, A., Arranz, J.J., Grisart, B., Riquet, J., Farnir, F. & Georges, M. 1999. Thegreat-grand-daughter design: a simple strategy to increase the power of a grand-daughter design forQTL mapping. Genetical Research 74: 189–199.Cunningham, E.P. 1989. Formulation of breeding plans for dairy and dual-purpose cattle. Brazil. J.Genet. 12: 81.Darvasi, A. 1998. Experimental strategies for the genetic dissection of complex traits in animalmodels. Nat. Genet. 18: 19–24.Darvasi, A. & Soller, M. 1997. A simple method to calculate resolving power and confidence intervalof QTL map location. Behavior. Genet. 27: 125–132.Darvasi, A., Vinreb, A., Minke, V., Weller, J.I. & Soller, M. 1993. Detecting marker-QTL linkageand estimating QTL gene effect and map location using a saturated genetic map. Genetics 134:943–951.de Koning, D.J., Schulman, N.F., Elo, K., Moisio, S., Kinos, R., Vilkki, J. & Maki-Tanila, A. 2001.Mapping of multiple quantitative trait loci by simple regression in half-sib designs. J. Anim. Sci.79: 616–622.de Vaccaro, L. 1990. Survival of European dairy breeds and their crosses with Zebus in the tropics.Anim. Breed. Abstr. 58: 475–494.Fernando R.L. & Grossman, M. 1989. Marker assisted selection using best linear unbiased prediction.Genet. Sel. Evol. 21: 467–477.FAO. 1987. Crossbreeding Bos indicus and Bos taurus for milk production in the tropics, by E.P.Cunningham & O. Syrstad. Anim. Prod. Health Paper No. 68. Rome.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 Research 10: 220–227.Georges, M., Nielsen, D., Mackinnon, M., Mishra, A., Okimoto, R., Pasquino, A.T., Sargent, L.S.,Sorensen, A., Steele, M.R., Zhao, X., Womack, J.E. & Hoeschele, I. 1995. Mapping quantitative traitloci controlling milk production in dairy cattle by exploiting progeny testing. Genetics 139: 907–920.Goddard, M.E. 1992. A mixed model for analyses of data on multiple genetic markers. Theor. Appl.Genet. 83: 878–886.Grignola, F.E., Hoeschele, I. & Tier, B. 1996. Mapping quantitative trait loci in outcross populationsvia residual maximum likelihood. I. Methodology. Genet. Sel. Evol. 28: 479–490.Grisart, B., Coppieters, W., Farnir, F., Karim, L., Ford, C. Berzi, P., Cambisano, N., Mni, M., Reid,S., Simon, P., Spelman, R., Georges, M. & Snell, R. 2002. Positional candidate cloning of a QTLin dairy cattle: Identification of a missense mutation in the bovine DGAT1 gene with major effecton milk yield and composition. Genome Research 12: 222–231.
224Marker-assisted selection – Current status and future perspectives in crops, livestock, forestry and fishHaley, C.S. & Knott, S.A. 1992. A simple regression method for mapping quantitative trait loci inline crosses using flanking markers. Heredity 69: 315–324.Hanotte, O., Ronin, Y., Agaba, M., Nilsson, P., Gelhaus, A., Horstmann, R., Sugimoto, Y., Kemp,S., Gibson, J., Korol, A., Soller, M. & Teale, A. 2003. Mapping of quantitative trait loci controllingtrypanotolerance in a cross of tolerant West African N’Dama and susceptible East African Borancattle. Proc. Nat. Acad. Sci. USA 100: 7443–7448.Henderson, C.R. 1984. Applications of linear models in animal breeding. University of Guelph,Ontario, ON, Canada.Heyen, D.W., Weller J.I., Ron, M., Band, M., Beever, J.E., Feldmesser, E., Da, Y., Wiggans, G.R.,VanRaden, P.M. & Lewin, H.A. 1999. A genome scan for QTL influencing milk production andhealth traits in dairy cattle. Physiol. Genom. 1: 165–175.Hiendleder, S., Thomsen, H., Reinsch, N., Bennewitz, J., Leyhe-Horn, B., Looft, C., Xu, N.,Medjugorac, I., Russ, I., Kuhn, C., Brockmann, G.A., Blumel, J., Brenig, B., Reinhardt, F.,Reents, R., Averdunk, G., Schwerin, M., Forster, M., Kalm, E. & Erhardt, G. 2003. Mapping ofQTL for body conformation and behavior in cattle. J. Heredity 94: 496–506.Hill, W.G. 1971. Investment appraisal for national breeding programmes. Anim. Prodn. 13: 37–50.Holmberg, M. & Andersson-Eklund, L. 2004. Quantitative trait loci affecting health traits inSwedish dairy cattle. J. Dairy Sci. 87: 2653–2659.International Human Genome Sequencing Consortium. 2004. Finishing the euchromatic sequenceof the human genome. Nature 431:931–945.Israel, C. & Weller, J.I. 1998. Estimation of candidate gene effects in dairy cattle populations. J. DairySci. 81: 1653–1662.Israel, C. & Weller, J.I. 2000. Effect of misidentification on genetic gain and estimation of breedingvalue in dairy cattle populations. J. Dairy Sci. 83: 181–187.Israel, C. & Weller, J.I. 2002. Estimation of quantitative trait loci effects in dairy cattle populations.J. Dairy Sci. 85: 1285–1297.Israel, C. & Weller, J.I. 2004. Effect of type I error threshold on marker-assisted selection in dairycattle. Livest. Prod. Sci. 85: 189–199.Kashi, Y., Hallerman, E. & Soller, M. 1990. Marker-assisted selection of candidate bulls for progenytesting programmes. Anim. Prod. 51: 63–74.Kerr, R. J. & Kinghorn, B.P. 1996. An efficient algorithm for segregating analysis in large populations.J. Anim. Breed. Genet. 113: 457–469.Khatkar, M.S., Thomson, P.C., Tammen, I. & Raadsma, H.W. 2004. Quantitative trait loci mappingin dairy cattle: review and meta-analysis. Genet. Sel. Evol. 36: 163–190.Klungland, H., Sabry, A., Heringstad, B., Olsen, H.G., Gomez-Raya, L., Vage, D.I., Olsaker, I.,Odegard, J., Klemetsdal, G., Schulman, N., Vilkki, J., Ruane, J., Aasland, M., Ronningen, K. &Lien, S. 2001. Quantitative trait loci affecting clinical mastitis and somatic cell count in dairy cattle.Mamm. Genome 12: 837–842.Knott, S.A., Elsen J.M. & Haley, C.S. 1996. Methods for multiple-marker mapping of quantitativetrait loci in half-sib populations. Theor. Appl. Genet. 93: 71–80.Kosgey, I. S., Kahi, K.A. & van Arendonk J.A.M. 2005. Evaluation of closed adult nucleus multipleovulation and embryo transfer and conventional progeny testing breeding schemes for milk productionin tropical crossbred cattle. J. Dairy Sci. 88: 1582–1594.
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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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Chapter 3 - Molecular markers for u
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Chapter 6Targeted introgression of
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Chapter 19Technical, economic and p
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