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http://dx.doi.org/10.5187/JAST.2003.45.2.335

Prediction of Carcass Yield by Ultrasound in Hanwoo  

Rhee, Y. J. (National Livestock Research Institute, RDA)
Jeon, K. J. (National Livestock Research Institute, RDA)
Choi, S. B. (National Livestock Research Institute, RDA)
Seok, H. K. (College of Animal Resources Sciences, Kangwon National University)
Kim, S. J. (College of Animal Resources Sciences, Kangwon National University)
Lee, S. K. (College of Animal Resources Sciences, Kangwon National University)
Song, Y. H. (College of Animal Resources Sciences, Kangwon National University)
Publication Information
Journal of Animal Science and Technology / v.45, no.2, 2003 , pp. 335-342 More about this Journal
Abstract
This study was conducted to predict the carcass yield traits using ultrasound before slaughter and to enhance the prediction accuracy of carcass yield grade by applying various strategies. For this experiment, five hundred seventy three Hanwoo steers of 24 months of age were used. Difference between ultrasound result and carcass measure of BFT and LMA was 0.6$\pm$1.65mm and 0.7$\pm$5.56cm2, respectively. Correlation coefficient between ultrasound result and carcass measure of BFT and LMA was 0.86 and 0.82, respectively (p<0.001). Results for improving predictions of yield grade by four methods-the Korean yield grade index equation, fat depth alone, regression and decision tree methods were 80.3%, 81.3%, 80.1% and 81.8%, respectively. We conclude that the decision tree method can easily predict yield grade and is also useful for increasing prediction accuracy rate.
Keywords
Ultrasound; Carcass traits; Yield grade; Hanwoo;
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