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多元回归估计关中黑猪胴体瘦肉量的研究
张慧林1, 刘小林1
西北农林科技大学 畜牧兽医学院
摘要:
以活重90 kg左右的30头关中黑猪的宰前活重、体长、胴体重、胴体长、眼肌面积、腿臀重、背膘厚度为自变量,胴体瘦肉量为依变量,采用逐步回归的多元回归分析方法,逐步引入作用较大的自变量又逐步剔除作用较小的自变量,选择最优回归方程,最后建立了R=0.9515的“最优”三元回归方程Y=-30.519 4+0.553 7X3+0.274 2X4+0.331 6X5,经过43头关中黑猪的胴体瘦肉量进行估测,与实测值差异不显著(P>0.05)。
关键词:  关中黑猪  胴体  瘦肉量  回归分析
DOI:
分类号:
基金项目:西北农业大学青年拉学基金资助项目(005-Y08183)的部分内容
Prediction of the lean meat content of carcass with multivariate regression method in Guanzhong Black Pig
Abstract:
Thirty Guanzhong Black pigs with a live weight about90 kg each were selected in this study.The live weight (X1),final body length X2),dressed weight X3),carcass length X4),eye area X5),ham joint weight (i>X6),back-fat thickness X7) were used as independent variables,and the lean meat weight of carcass (Y) was used as a dependent variable,using the method of stepwise regression analysis.After statistical examination and omitting the small insignificant independent variables,an optimum three-way regression equation for estimating the lean meat weight was established with R=0.957 5:Y=-30.519 4+0.553 7X3+0.274 2X4+0.331 6X5,in which X3 refers to the dressed weight(kg),X4 refers to the carcass length(cm),X5 refers to the eye area (cm2).The average value of prediction of the lean meat weight using the equation and the observed value were proved to have no significant difference through the t-test(P>0.05) in43Guanzhong Black Pigs.Itshows this method is a simple and easy way to predictthe lean meatcontentin pork carcass accurately,and can be used in both research and production.
Key words:  Guanzhong black pig  carcass  lean meat content  regression analysis