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The Influence of Carcass Traits on Carcass Price in Mature Hanwoo Cow

한우 암소에서 도체형질과 도체가격간의 상관관계

  • Kim, Dae-Jung (Department of Animal Resource Science, College of Animal Life Science, Kangwon National University) ;
  • Lee, Chang-Woo (Research Center for Livestock Technology) ;
  • Lee, Chae-Young (Department of Bioinfomatics & Life-Science, College of Natural Science, Soongsil University) ;
  • Kim, Jong-Bok (Department of Animal Resource Science, College of Animal Life Science, Kangwon National University)
  • 김대중 (강원대학교 동물생명과학대학 동물자원과학과) ;
  • 이창우 (강원도 축산기술연구센터) ;
  • 이채영 (숭실대학교 자연과학대학 생명정보학과) ;
  • 김종복 (강원대학교 동물생명과학대학 동물자원과학과)
  • Received : 2010.01.08
  • Accepted : 2010.02.22
  • Published : 2010.04.30

Abstract

We investigated the influence of carcass traits on carcass price for Hanwoo cow using multiple regression and path analyses. Data for carcass traits and price were collected on mature Hanwoo cow raised in private farms in Kangwon province that were slaughtered in 2008. A total of 96 animals with the average slaughter age of 51 months were used in the current study. Of the carcass traits studied, marbling score (MAR), dressing percentage (DP), and eye-muscle area (EMA) showed moderate and positive correlations with auction price (AP), while correlation coefficients of meat yield index (MINDEX) with AP were low or even negligible. In multiple regression analyses of AP and carcass price (CP) on cold carcass weight (CWT), back fat thickness (BFT), EMA, MAR, and DP, estimates of $R^2$ were 69.86 and 85.43%, respectively. Partial regression coefficients for CWT, BFT, EMA, MAR and DP were -0.028, -0.106, 0.107, 0.814, and 0.075 in the equation of AP and 0.561, -0.060, 0.083, 0.590, and 0.051 in the equation of CP. In path analyses, MAR's total contribution on the variation of AP was largest (0.667), and the total contributions of MAR and CWT on the variation of CP were 0.403 and 0.397. The current study suggested that marbling was the most influential trait on the variation of auction price, and marbling and cold carcass weight were critical traits on the variation of carcass price.

Keywords

Carcass traits;Carcass price;Multiple regression;Path analyses

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