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A research note on predicting the carcass yield of Korean native cattle (Hanwoo)

  • J. M. Lee*
  • , Y. M. Yoo
  • , B. Y. Park
  • , H. S. Chae
  • , I. H. Hwang
  • , Y. I. Choi
  • *Corresponding author for this work
  • Rural Development Administration
  • Chungbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

This study developed a new equation to predict the carcass yield of Hanwoo cattle, as well as re-evaluating a previous prediction equation. Experimental animals comprised 79 cows, 79 steers, and 79 bulls. A stepwise model selection was performed to determine the most practical carcass traits for predicting the yield. Cold carcass weight (CW), backfat thickness (BFT), and ribeye area (REA) accounted for 52% variation in yield, and these were determined as the final parameters. When the kidney, pelvic, and heart fat were included in the model, this increased the percentage variation explained (R2) by 4%. To compare the newly developed equation (Yield = 64.65 - 0.0198 × CW - 5.2264 × BFT + 0.1339 × REA) and the previously used one, carcass yields of 377,048 industrial animals (145,695 cows, 225,926 bulls, and 5427 steers) were assessed. For the newly developed equation, the mean difference between experimental animals industrial animals differed only by 1.99-2.68% for all sex groups. In the case of the previous prediction equation, the mean difference ranged from 6.06% for bulls to 11.05% for steers. The results demonstrated that the prediction equation should use a mixture of sex and market weight groups. The results also support our decision to use the newly developed model in predicting the yield of Hanwoo.

Original languageEnglish
Pages (from-to)583-587
Number of pages5
JournalMeat Science
Volume69
Issue number3
DOIs
StatePublished - 2005.03

Keywords

  • Beef
  • Hanwoo
  • Prediction equation
  • Yield
  • Yield grade

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