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http://dx.doi.org/10.5713/ajas.2002.591

Evaluation of Ultrasound for Prediction of Carcass Meat Yield and Meat Quality in Korean Native Cattle (Hanwoo)  

Song, Y.H. (Division of Animal Resource Science, Kangwon National University)
Kim, S.J. (Institute of Animal Resources, Kangwon National University)
Lee, S.K. (Department of Animal Food Science and Technology, Kangwon National University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.15, no.4, 2002 , pp. 591-595 More about this Journal
Abstract
Three hundred thirty five progeny testing steers of Korean beef cattle were evaluated ultrasonically for back fat thickness (BFT), longissimus muscle area (LMA) and intramuscular fat (IF) before slaughter. Class measurements associated with the Korean yield grade and quality grade were also obtained. Residual standard deviation between ultrasonic estimates and carcass measurements of BFT, LMA were 1.49 mm and $0.96cm^2$. The linear correlation coefficients (p<0.01) between ultrasonic estimates and carcass measurements of BFT, LMA and IF were 0.75, 0.57 and 0.67, respectively. 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 75.4%, 79.6%, 64.3% and 81.4%, respectively. We conclude that the decision tree method can easily predict yield grade and is also useful for increasing prediction accuracy rate.
Keywords
Ultrasound; Korean Native Cattle; Meat Yield; Meat Quality; Data Mining; Decision Trees;
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