Lim Youngho, Park Yunhwan, Kim Gwantae, Kim Jaeyoung, Seo Jongtae, Lee Jaesik, Choi Jungseok
Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea.
Bugyeong Pig Farmers cooperative, Gimhae 50925, Korea.
J Anim Sci Technol. 2024 Jul;66(4):834-845. doi: 10.5187/jast.2023.e78. Epub 2024 Jul 31.
Currently, in pork auctions in Korea, only carcass weight and backfat thickness provide information on meat quantity, while the production volume of primal cuts and fat contents remains largely unknown. This study aims to predict the production of primal cuts in pigs and investigate how these carcass traits affect pricing. Using the VCS2000, the production of shoulder blade, loin, belly, shoulder picnic, and ham was measured for gilts (17,257 pigs) and barrows (16,365 pigs) of LYD (Landrace × Yorkshire × Duroc) pigs. Single and multiple regression analysis were conducted to analyze the relationship between the primal cuts and carcass weight. The study also examined the correlation between each primal cut, backfat thickness (1st thoracic vertebra backfat thickness, grading backfat thickness, and Multi-brached muscle middle backfat thickness), pork belly fat percentage, total fat yield, and auction price. A multiple regression analysis was conducted between the carcass traits that showed a high correlation and the auction price. After conducting a single regression analysis on the primal cuts of gilt and barrow, all coefficients of determination (R) were 0.77 or higher. In the multiple regression analysis, the R value was 0.98 or higher. The correlation coefficient between the carcass weights and the auction price exceeded 0.70, while the correlation coefficients between the primal cuts and the auction prices were above 0.65. In terms of fat content, the backfat thickness of gilt exhibited a correlation coefficient of 0.70, and all other items had a correlation coefficient of 0.47 or higher. The correlation coefficients between the Forequarter, Middle, and Hindquarter and the auction price were 0.62 or higher. The R values of the multiple regression analysis between carcass traits and auction price were 0.5 or higher for gilts and 0.4 or higher for barrows. The regression equations between carcass weight and primal cuts derived in this study exhibited high determination coefficients, suggesting that they could serve as reliable means to predict primal cut production from pig carcasses. Elucidating the correlation between primal cuts, fat contents and auction prices can provide economic indicators for pork and assist in guiding the direction of pig farming.
目前，在韩国的生猪拍卖中，只有胴体重量和背膘厚度能提供有关肉量的信息，而主要切块的产量和脂肪含量在很大程度上仍不为人知。本研究旨在预测猪的主要切块产量，并调查这些胴体性状如何影响定价。使用VCS2000，对LYD（长白猪×约克夏猪×杜洛克猪）母猪（17257头）和阉公猪（16365头）的肩胛骨、里脊肉、腹部、肩前腿肉和火腿产量进行了测量。进行了单因素和多因素回归分析，以分析主要切块与胴体重量之间的关系。该研究还考察了各主要切块、背膘厚度（第1胸椎处背膘厚度、分级背膘厚度和多分支肌肉中部背膘厚度）、猪腹部脂肪百分比、总脂肪产量与拍卖价格之间的相关性。对相关性较高的胴体性状与拍卖价格进行了多因素回归分析。对母猪和阉公猪的主要切块进行单因素回归分析后，所有决定系数（R）均为0.77或更高。在多因素回归分析中，R值为0.98或更高。胴体重量与拍卖价格之间的相关系数超过0.70，而主要切块与拍卖价格之间的相关系数高于0.65。在脂肪含量方面，母猪的背膘厚度相关系数为0.70，其他所有项目的相关系数为0.47或更高。前躯、中躯和后躯与拍卖价格之间的相关系数为0.62或更高。胴体性状与拍卖价格之间的多因素回归分析的R值，母猪为0.5或更高，阉公猪为0.4或更高。本研究得出的胴体重量与主要切块之间的回归方程具有较高的决定系数，表明它们可作为预测猪胴体主要切块产量的可靠方法。阐明主要切块、脂肪含量与拍卖价格之间的相关性可为猪肉提供经济指标，并有助于指导养猪方向。
