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Correlation between the Korean pork grade system and the amount of pork primal cut estimated with AutoFom III
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논문 기본 정보

Type
Academic journal
Author
Yunhwan Park (충북대학교) Eun Young Ko (Dodram Pig Farmers’ Cooperative Icheon 17405 Korea) Kwangwook Park (Dodram Pig Farmers Cooperative) Changhyun Woo (Dodram Pig Farmers Cooperative) Jaeyoung Kim (Chungbuk National University) Sanghun Lee (충북대학교) Sanghun Park (충북대학교) Yun-a Kim (충북대학교)
Journal
한국축산학회(구 한국동물자원과학회) 한국축산학회지 한국축산학회지 제64권 제1호 KCI Excellent Accredited Journal
Published
2022.1
Pages
135 - 142 (8page)

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Correlation between the Korean pork grade system and the amount of pork primal cut estimated with AutoFom III
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It is impossible to know the amount of pork primal cut by pig carcass grade which is determined only by carcass weight and backfat thickness in the Korean Pig Carcass System. The aim of this study was to investigate the correlation between the pig carcass grade and the amount of pork primal cut estimated with AutoFom III. A total of 419,321 Landrace, Yorkshire, and Duroc (LYD) pigs were graded with the Korean Pig Carcass Grade System. Amounts of belly, neck, loin, tenderloin, spare ribs, shoulder, and ham were estimated with AutoFom III. Regression equations for seven primal cuts according to each grade were derived. There were significant differences among the three carcass grades due to heteroscedasticity variance (p < 0.0001). Three regression equations were derived from AutoFom III estimation of primal cuts according to carcass grades. The coefficient of determination of the regression equation was 0.941 for grade 1+, 0.982 for grade 1, and 0.993 for grade 2. Regression equations obtained from this study are suitable for AutoFom III software, a useful tool for the analysis of each pig carcass grade in the Korean Pig Carcass Grade System. The high reliability of predicting the amount of primal cut with AutoFom III is advantageous for the management of slaughterhouses to optimize their product sorting in Korea.
#Pig carcass grade #AutoFom III #Regression #Primal cuts #Heteroscedasticity

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