Title: Study on Prediction of Carcass Lean Rate and Indexes Chosen for Carcass Classification of Local Crossbreed Swine
Abstract: One hundred and eleven 5~7 months old local crossbreed pigs were sampled and tested for carcass lean-percentage(y),hot carcass weight,backfat of different parts and other character indexes.By commercial cutting,multiple regression analysis of dissectible lean meat rate(%) on linear form based on the variables with different indexes was performed by SAS(SAS version 8.2).The results suggested that the tenth equation: y=60.453+0.0971x_(10)-0.2551x_9-0.2432x_5 was the best multiple linear regression prediction model,in the model,R~2 is 0.7342 and RMSE is 1.55238.Backfat between the 3rd and 4th last rib(x_5),F(F is the thinnest backfat near musculus gluteus medius position,x_9) and M(M is the distance between the end of musculus gluteus medius and the edge of spinal cord canal,x_(10)) will be measured for the pig carcass grading in the future.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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