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Prediction of Carcass Meat Quality Grade by Ultrasound in Hanwoo

초음파를 이용한 한우의 도체육질 예측

  • Rhee, Y.J. (College of Animal Resource Sciences, Kangwon National University) ;
  • Kim, J.Y. (College of Animal Resource Sciences, Kangwon National University) ;
  • Lee, S.K. (College of Animal Resource Sciences, Kangwon National University) ;
  • Song, Y.H. (College of Animal Resource Sciences, Kangwon National University)
  • 이용준 (강원대학교 동물자원과학대학) ;
  • 김지용 (강원대학교 동물자원과학대학) ;
  • 이성기 (강원대학교 동물자원과학대학) ;
  • 송영한 (강원대학교 동물자원과학대학)
  • Published : 2005.12.31

Abstract

For the establishment of prediction strategies of carcass meat quality grade and for the enhancement of prediction accuracy, sixty six Hanwoo steers were ultrasonically tested at 24 months of age. Ultrasonic meat quality grade were predicted by standard ultrasonic image and decision tree method using ultrasonic meat quality index. From the results of decision tree method using ultrasonic meat quality index, it was found that the marbling score was mainly influenced by the distinctness of rib on ultrasound image. Prediction accuracy of meat quality grade by ultrasonic meat quality index was 86.4%, resulting in 7.6% higher accuracy than that by standard ultrasonic image (78.8%).

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Cited by

  1. Grading meat quality of Hanwoo based on SFTA and AdaBoost vol.26, pp.6, 2016, https://doi.org/10.5391/JKIIS.2016.26.6.433