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Implementation of genomic selection in Hanwoo breeding program

유전체정보활용 한우개량효율 증진

  • Lee, Seung Hwan (Department of animal & dairy science, Chungnam National University) ;
  • Cho, Yong Min (Animal Genome & Bioinformatics Division, National Institute of Animal Science) ;
  • Lee, Jun Heon (Department of animal & dairy science, Chungnam National University) ;
  • Oh, Seong Jong (Department of Animal Biotechnology, Jeju National University)
  • Received : 2015.10.19
  • Accepted : 2015.12.10
  • Published : 2015.12.31

Abstract

Quantitative traits are mostly controlled by a large number of genes. Some of these genes tend to have a large effect on quantitative traits in cattle and are known as major genes primarily located at quantitative trait loci (QTL). The genetic merit of animals can be estimated by genomic selection, which uses genome-wide SNP panels and statistical methods that capture the effects of large numbers of SNPs simultaneously. In practice, the accuracy of genomic predictions will depend on the size and structure of reference and training population, the effective population size, the density of marker and the genetic architecture of the traits such as number of loci affecting the traits and distribution of their effects. In this review, we focus on the structure of Hanwoo reference and training population in terms of accuracy of genomic prediction and we then discuss of genetic architecture of intramuscular fat(IMF) and marbling score(MS) to estimate genomic breeding value in real small size of reference population.

Keywords

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