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Contribution analysis of carcass traits and seasonal effect on auction price for Hanwoo steers

  • Kang, Tae Hun (Department of Animal Science, College of Natural Resources and Life Science.Life and Industry Convergence Research Institute, Pusan National University) ;
  • Cho, Seong-Keun (Department of Animal Science, College of Natural Resources and Life Science.Life and Industry Convergence Research Institute, Pusan National University) ;
  • Seo, Jakyeom (Department of Animal Science, College of Natural Resources and Life Science.Life and Industry Convergence Research Institute, Pusan National University) ;
  • Kim, Myunghoo (Department of Animal Science, College of Natural Resources and Life Science.Life and Industry Convergence Research Institute, Pusan National University) ;
  • Kim, Byeong-Woo (Department of Animal Science, College of Natural Resources and Life Science.Life and Industry Convergence Research Institute, Pusan National University)
  • Received : 2018.09.03
  • Accepted : 2019.06.17
  • Published : 2019.09.01

Abstract

The aim of this study was to analyze the contribution of carcass traits (backfat thickness, eye muscle area, carcass weight and marbling score) and the season at slaughter to the price (auction and market) using squared semi-partial correlation. The season at slaughter (summer expressed as season_2, autumn as season_3, and winter as season_4) were added into the estimation as dummy variables, and spring was set as a default variable. In this study, the carcass grades of 22,298 Hanwoo steers slaughtered from 2012 to 2017 were used to performmultiple regression analysis. The rankings of the contribution of the carcass traits and the seasons at slaughter to the auction prices were in the order of marbling score (68.63%), season_4 (11.88%), backfat thickness (10.45%), eye muscle area (6.11%), season_3 (2.19%), season_2 (0.45%) and carcass weight (0.28%). (R-square of the regression = 0.4101). The rankings of the contribution to the total prices were in the order of carcass weight (51.74%), marbling score (32.12%), season_4 (6.04%), backfat thickness (5.54%), eye muscle area (3.22%), season_3 (1.14%), and season_2 (0.19%). (R-Square of the regression = 0.6486). As a result, season_3 and season_4 had a negative effect on the auction price and total price. Because of seasonal event such as Korean Thanksgiving Day and Korean New Year's Day on season_3 and season_4, much supply was needed to meet the high demand. Thus, the seasonal effect at slaughter could be another factor to be cosideredin when considering of slaughter or breeding.

Acknowledgement

Supported by : 부산대학교

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