土种杂交猪胴体性状分析及瘦肉率预测模型筛选研究  

Study on Prediction of Carcass Lean Rate and Indexes Chosen for Carcass Classification of Local Crossbreed Swine

作　　者：李业国[1] 周光宏[2] 高峰[1] 骆桂兰[1] 陈银基[1] 

机构地区：[1]南京农业大学动物科技学院,江苏南京210095 [2]南京农业大学农业部农畜产品加工与质量控制重点开放实验室,江苏南京210095

出　　处：《江西农业学报》2006年第2期126-129,共4页Acta Agriculturae Jiangxi

基　　金：国家科技攻关项目(2001BA501A11);江苏省科技攻关项目(BE2004314);江苏省攻关招标项目(BS2002051)

摘　　要：选择5～7月龄左右阉割的土种杂交商品猪111头,分别测其瘦肉率、热胴体重、背膘厚度等指标.分析了猪胴体的基本性状及其相关性,并以瘦肉率（y）为因变量,其它指标为自变量,建立了胴体瘦肉率的回归拟合方程.结果表明,多元线性方程y=60.453＋0.0971x10-0.2551x9-0.2432x5（R^2=0.7342,RMSE=1.55238）能较好地预测胴体瘦肉率,倒数3～4肋背膘厚（x5）、臀中肌垂直至背中线的最薄处膘厚（x9）、臀中肌末端垂直到脊髓管边缘处膘厚（x10）被选入方程,经实际生产验证,此模型准确度较高,方程可靠.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 ＋0.0971x10 -0. 2551x9 -0.2432x5 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 （x5 ）, F（ F is the thinnest backfat near musculus gluteus medius position ,x9 ） and M （M is the distance between the end of musculus gluteus medius and the edge of spinal cord canal ,x10） will be measured for the pig carcass grading in the future.

关 键 词：猪胴体 瘦肉率 分级 指标 预测模型 

分 类 号：S828.91[农业科学—畜牧学]