Establishment of prediction model of the lean percentage of swine carcasses in China
2006
Li Yeguo | Tang Xiaoyan | Gao Feng
Китайский. 为在生猪屠宰线上较快地预测胴体瘦肉率，实现按瘦肉率大小对猪胴体进行等级划分，构建优质优价的收购体系，研究测定了325头5～8月龄不同类型阉割商品猪的热胴体重和背膘厚，并根据实际分割肉块重对瘦肉率进行了计算，以瘦肉率为因变量，热胴体重和背膘厚为自变量，采用SAS 8.2软件建立了商品猪胴体瘦肉率预测方程，并对其中的最优回归方程进行了诊断和准确性检验。结果表明，所建立的最优回归方程能较好的拟合商品猪的胴体瘦肉率。
Показать больше [+] Меньше [-]Английский. In order to know the lean percentage of pig carcasses as soon as possible on the slaughtering line, to rank pig carcasses on the basis of the lean-percentage and to pay for pig caracasses according to its quality, this study assessed carcass’ lean-percentage (y) calibration equation, and measured indexes were used for pig carcasses grading. 325 samples aged from 5 months to 8 months were selected in this study. The usual predictors were used: hot carcass weight, backfat of different parts and other characteristics measured on each carcass with ruler. By commercial cutting, multiple regression analysis of dissectible lean meat on linear form based on the variables with different indexes was performed by SAS (SAS version 8.2). The results suggest that the sixth equation is the best multiple linear regression prediction model, with R2 0.875 3 and RMSE 2.279 71.
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