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| 中国商品猪胴体瘦肉率预测模型的建立 | |
| 引用本文： | 李业国,汤晓艳,高 峰.中国商品猪胴体瘦肉率预测模型的建立[J].西北农林科技大学学报(社会科学版),2006,34(10):27-31. |
| 作者姓名： | 李业国 汤晓艳 高 峰 |
| 作者单位： | 1. 南京农业大学,动物科技学院,江苏,南京,210095;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 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;中国农业科学院 农业质量标准与检测技术研究所,北京,100081 3. 南京农业大学,动物科技学院,江苏,南京,210095 4. 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 |
| 基金项目： | 国家科技攻关计划;江苏省科技攻关计划;江苏省科技攻关项目 |
| 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,热胴体重和背膘厚为自变量,采用SA S 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。 |
| 关 键 词： | 猪胴体 瘦肉率预测 预测模型 |
| 文章编号： | 1671-9387(2006)10-0027-05 |
| 收稿时间： | 2005-10-26 |
| 修稿时间： | 2005年10月26 |
Establishment of prediction model of the lean percentage of swine carcasses in China |
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| LI Ye-guo,TANG Xiao-yan,GAO Feng,ZHOU Guang-hong.Establishment of prediction model of the lean percentage of swine carcasses in China[J].Journal of Northwest Sci-Tech Univ of Agr and,2006,34(10):27-31. | |
| Authors: | LI Ye-guo TANG Xiao-yan GAO Feng ZHOU Guang-hong |
| Institution: | b(a College of Animal Science and Technology;b Key Laboratory of Agricultural and Animal Products Processing and Quality Control,Ministry of Agriculture,Nanjing Agriculture University,Nanjing,Jiangsu 210095,China;c Institute of Quality Standards & Testing Technology for Agri-Products,Chinese Academy of Agricultural Science,Beijing 100081,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. |
| Keywords: | pig carcass lean-percentage prediction prediction model |
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