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강원도 한우 암소 검정사업 시행지역 한우의 도체형질에 대한 유전능력 예측 KCI 등재

Genetic Prediction of Hanwoo Carcass Traits in Kangwon Regional Hanwoo Cow Test Farms

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동물자원연구 (Annals of Animal Resources Sciences)
강원대학교 동물자원공동연구소 (Institute of Animal Resources Kangwon National University)
초록

The objectives of this study were to estimate genetic parameters and breeding values of four carcass traits of the Hanwoo cattle breed: carcass weight (CWT), back fat thickness (BFT), eye-muscle area (EMA), and marbling score (MAR). Genetic parameters and breeding values were estimated based on data (“estimating dataset”) collected from September 2004 to March 2019. Predictability of parental breeding value estimates (EBVs) for the performances of progeny of the control group was evaluated on another dataset (“testing dataset”) using linear model equations involving parental EBVs classified into sex and age groups. The parental EBVs of animals in the testing dataset were traced by pedigree relationships of animals in the estimating dataset. Heritability estimates of CWT, BFT, EMA, and MAR were 0.53, 0.43, 0.38, and 0.54, respectively. Genetic correlation coefficients of CWT with BFT, EMA, and MAR were +0.32, +0.59, and +0.11, respectively. Environmental correlation coefficients of CWT with BFT, EMA, and MAR were +0.46, +0.55, and +0.29, respectively. In the testing dataset, partial regression coefficients of phenotypic values of progeny on sire EBVs ranged from +0.43 to +0.60 depending on traits fit into the models, while those on dam EBVs ranged from +0.54 to +0.67. All partial regression coefficients were statistically significant and were approximated to the expected value of +0.5. Together, these values validate the use of parental EBVs for predicting progeny carcass phenotypes in the Hanwoo herd.

목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 재료 및 방법
    1. 도축자료 및 조사형질
    2. 유전(공)분산 및 육종가 추정
Ⅲ. 결과 및 고찰
    1. 육종가 추정자료의 단순 평균치
    2. 유전모수
    3. 추정 육종가의 유효성 검정
    4. 도체형질의 변화추세
Ⅳ. 요약
Ⅴ. 참고문헌
저자
  • 이창우(강원도 축산기술연구소) | Chang-Woo Lee (Gangwon Province Livestock Technology Research Institute)
  • 최정우(강원대학교 동물생명과학대학) | Jung-Woo Choi (College of Animal Life Science, Kangwon National University)
  • 신혜지(강원대학교 동물생명과학대학) | Hye-Ji Shin (College of Animal Life Science, Kangwon National University)
  • 김종복(강원대학교 동물생명과학대학) | Jong-Bok Kim (College of Animal Life Science, Kangwon National University) Corresponding author