Your browser doesn't support javascript.
loading
Estimation of breeding value and accuracy using pedigree and genotype of Hanwoo cows (Korean cattle).
Kim, Eun-Ho; Kang, Ho-Chan; Sun, Du-Won; Myung, Cheol-Hyun; Kim, Ji-Yeong; Lee, Doo-Ho; Lee, Seung-Hwan; Lim, Hyun-Tae.
Afiliação
  • Kim EH; Department of Animal Science, Gyeongsang National University, Jinju, Korea.
  • Kang HC; Department of Animal Science and Biotechnology, Gyeongsang National University, Jinju, Korea.
  • Sun DW; Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, Korea.
  • Myung CH; Department of Animal Science, Gyeongsang National University, Jinju, Korea.
  • Kim JY; Department of Animal Science, Gyeongsang National University, Jinju, Korea.
  • Lee DH; Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, Korea.
  • Lee SH; Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, Korea.
  • Lim HT; Department of Animal Science, Gyeongsang National University, Jinju, Korea.
J Anim Breed Genet ; 139(3): 281-291, 2022 May.
Article em En | MEDLINE | ID: mdl-34902178
The genetic improvement of Hanwoo is dependent on the estimated breeding value (EBV) of pedigree-based Korean proven bull's number, and the genetic evaluation for cows is difficult due to insufficient pedigree and test records. Genomic selection involves utilizing the individual's genotype to estimate the breeding value (BV) and is determined to be an appropriate evaluation method for cows who lack test information. This study used pedigree and genotype to estimate and analyse BV and accuracy of Hanwoo cows in the Gyeongnam area using pedigree best linear unbiased prediction (PBLUP) and genomic best linear unbiased prediction (GBLUP). The test group acquired pedigree and genotype of 919 Hanwoo cows in the Gyeongnam area. The traits used for analysis were carcass weight (CWT), eye muscle areas (EMA), backfat thickness (BFT) and marbling score (MS). PBLUP used Reference group 1 containing the pedigree and phenotype of 919 Hanwoo cows and 545,483 heads to construct the numeric relationship matrix and estimated the EBV and accuracy. GBLUP used Reference group 2 containing the genotype and phenotype of 919 Hanwoo cows and 17,226 heads to construct the genomic relationship matrix and estimated the genomic EBV (GEBV) and accuracy. In the order of CWT, EMA, BFT and MS, the accuracy of PBLUP was 0.488, 0.480, 0.482 and 0.486 while the accuracy of GBLUP was higher with 0.779, 0.758, 0.766 and 0.791. And for 104 cows without relationship coefficient on pedigree to the reference group, the accuracy as PBLUP was estimated to be 0, but for GBLUP, it was possible to estimate the accuracy for all individuals. If GBLUP is applied to cows raised in general farms, the genetic evaluation can be performed even on animals without pedigree and high-accuracy estimation, enabling selection of excellent cows. Accordingly, by securing the genetic diversity of cows, it is expected to increase the profitability of farms by decreasing the inbreeding rate and increasing efficiency of elite calf production.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article