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| 商品猪胴体性状分析及瘦肉率最优预测模型筛选研究 | |
| 引用本文： | 李业国,汤晓艳,高峰,周光宏.商品猪胴体性状分析及瘦肉率最优预测模型筛选研究[J].吉林农业大学学报,2007,29(2):213-218. |
| 作者姓名： | 李业国 汤晓艳 高峰 周光宏 |
| 作者单位： | 1. 南京农业大学动物科技学院,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,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,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,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,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知胴体瘦肉率,并按照不同瘦肉率对猪胴体划分等级,以实现优质优价的收购体系,选择5～8月龄不同类型阉割商品猪389头,分别测其瘦肉率、热胴体重、背膘厚度等指标,以瘦肉率为因变量,其他指标为自变量,采用SAS8.2软件建立了预测商品猪胴体瘦肉率不同变量的回归方程.结果表明:多元线性方程y=56.303 0-0.115 7x1-0.514 5x7 0.316 6x10(R2=0.87,RMSE=2.298 77)能较好拟合商品猪的胴体瘦肉率,腰荐背膘厚(x7)、M(指臀中肌末端到脊髓管边缘处距离,x10)被确定为商品猪胴体分级时需要直尺测量的2个指标. |
| 关 键 词： | 猪胴体 瘦肉率预测 性状 模型 猪胴体瘦肉率 性状分析 最优 预测模型 筛选研究 Swine Lean Prediction Model Optimum Selection Carcass Characteristics 测量 直尺 胴体分级 距离 边缘 脊髓 臀中肌 背膘厚度 拟合 |
| 文章编号： | 1000-5684（2007）02-0213-06 |
| 修稿时间： | 2005-10-302006-04-20 |
Analysis of Carcass Characteristics and Selection of Optimum Prediction Model of Lean Percentage of Marketable Swine |
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| LI Ye-guo,TANG Xiao-yan,GAO Feng,ZHOU Guang-hong.Analysis of Carcass Characteristics and Selection of Optimum Prediction Model of Lean Percentage of Marketable Swine[J].Journal of Jilin Agricultural University,2007,29(2):213-218. | |
| Authors: | LI Ye-guo TANG Xiao-yan GAO Feng ZHOU Guang-hong |
| Abstract: | The study was conducted to quickly predict carcass lean-percentage of swine on the slaughtering line,to classify them based on their lean percentage and to realize the policy of selling good-quality pork at a good price.389 samples aged from 5 months to 8 months were selected.Carcass lean-percentage(y) calibration equation on swine and indexes measured for swine carcass grading were assessed.The usual predictors were 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 suggested that the thirteenth equation: y=56.303 0-0.115 7 x1-0.514 5 x7+0.316 6x10 is the best multiple linear regression prediction model,in the model Adj.R2 is 0.87 and RMSE is 2.298 77.Backfat between sacrum & lumbar vertebra(x7) and M(M is the distance between the end of muscular gluteus and the edge of spinal cord canal,x10) will be measured for swine carcass grading in the future. |
| Keywords: | swine carcass lean-percentage prediction characteristic model |
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