Implementation of genomic selection in Hanwoo breeding program
Author(s) -
Seung Hwan Lee,
Yong Min Cho,
Jun Heon Lee,
Seong Jong Oh
Publication year - 2015
Publication title -
korean journal of agricultural science
Language(s) - English
Resource type - Journals
eISSN - 2466-2410
pISSN - 2466-2402
DOI - 10.7744/cnujas.2015.42.3.397
Subject(s) - quantitative trait locus , genetic architecture , biology , selection (genetic algorithm) , population , trait , single nucleotide polymorphism , genetics , genomic selection , computational biology , gene , genotype , computer science , artificial intelligence , demography , sociology , programming language
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.
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