中国商品猪胴体瘦肉率预测模型的建立  

Establishment of prediction model of the lean percentage of swine carcasses in China

作　　者：李业国[1] 汤晓艳[2] 高峰[1] 周光宏[2] 

机构地区：[1]南京农业大学动物科技学院 [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

出　　处：《西北农林科技大学学报（自然科学版）》2006年第10期27-31,共5页Journal of Northwest A&F University(Natural Science Edition)

基　　金：国家科技攻关项目"肉制品加工关键技术研发与新产品开发"(2001BA501A11);江苏省科技攻关项目(BE2004314);江苏省攻关招标项目(BS2002051)

摘　　要：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，热胴体蘑和背膘厚为自变量，采用SAS8．2软件建立了商品猪胴体瘦肉率预测方程，并射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。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.

关 键 词：猪胴体 瘦肉率预测 预测模型 

分 类 号：TS251.7[轻工技术与工程—农产品加工及贮藏工程]