Jack C.M. DEKKERS. Integration of molecular genetic technology with quantitative genetic technology for maximizing the speed of genetic improvement[J]. 华南农业大学学报, 2005, 26(Z1).
    引用本文: Jack C.M. DEKKERS. Integration of molecular genetic technology with quantitative genetic technology for maximizing the speed of genetic improvement[J]. 华南农业大学学报, 2005, 26(Z1).
    Jack C.M. DEKKERS. Integration of molecular genetic technology with quantitative genetic technology for maximizing the speed of genetic improvement[J]. Journal of South China Agricultural University, 2005, 26(Z1).
    Citation: Jack C.M. DEKKERS. Integration of molecular genetic technology with quantitative genetic technology for maximizing the speed of genetic improvement[J]. Journal of South China Agricultural University, 2005, 26(Z1).

    Integration of molecular genetic technology with quantitative genetic technology for maximizing the speed of genetic improvement

    Integration of molecular genetic technology with quantitative genetic technology for maximizing the speed of genetic improvement

    • 摘要: To date,most genetic progress for quantita-tive traits in livestock has been made by selec-tion on phenotype or on estimates of breedingvalues(BBV)derived from phenotype,withoutknowledge of the number of genes that affect thetrait or the effects of each gene.In this quantita-tive genetic approach to genetic improvement,the genetic architecture of traits of interest hasessentially been treated as a‘black box’.De-spite this,the substantial rates of genetic im-provement that have been and continue to be a-chie...

       

      Abstract: Advances in molecular genetics have opened opportunities to enhance strategies for genetic improvement of livestock by directly selecting on genes or chromosomal regions that harbor genes that affect traits of interest, so-called quantitative trait loci (QTL). Detection and use of QTL relies on presence of linkage disequilibrium between genetic markers that can be genotyped and QTL. The nature of linkage disequilibrium that exists in populations or that can be created in experimental populations and its use in QTL detection and marker-assisted selection are reviewed. Limitations and opportunities for alternate strategies for marker-assisted selection are outlined. The main conclusion is that opportunities for use of marker-assisted selection to enhance rates of genetic improvement exist, in particular using population-wide disequilibrium, but they require careful analysis and implementation in existing breeding programs.

       

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