Title: Establishment of prediction model of the lean percentage of swine carcasses in China
Abstract: 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 R~2 0.875 3 and RMSE 2.279 71.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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Cited By Count: 2
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