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



Song, Y.H.;Kim, S.J.;Lee, S.K.

  • 투고 : 2001.03.26
  • 심사 : 2001.10.25
  • 발행 : 2002.04.01


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.


Ultrasound;Korean Native Cattle;Meat Yield;Meat Quality;Data Mining;Decision Trees


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피인용 문헌

  1. 1. Estimation of Genetic Parameters for Economic Traits of Hanwoo Cows Using Ultrasound vol.53, pp.6, 2011, doi:10.5713/ajas.2002.591
  2. 2. Effects of Geographic Locations and Year-Seasons of Birth on Ultrasound Scanned Measures and Carcass Traits of Hanwoo Steers vol.54, pp.4, 2012, doi:10.5713/ajas.2002.591
  3. 3. Estimation of Genetic Parameters for Ultrasound and Carcass Traits in Hanwoo vol.54, pp.5, 2012, doi:10.5713/ajas.2002.591
  4. 4. Non-destructive analysis of sensory traits of dry-cured loins by MRI-computer vision techniques and data mining vol.97, pp.9, 2016, doi:10.5713/ajas.2002.591


연구 과제 주관 기관 : Korea Research Foundation