多元回归估计关中黑猪胴体瘦肉量的研究

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 .95 15的“最优”三元回归方程 :Y=- 30 .5 194+ 0 .5 5 3 7X3+ 0 .2 742 X4+ 0 .3316 X5 ,经对 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 .0 5 )

Prediction of the lean meat content of carcass with multivariate regression method in Guanzhong Black Pig

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 (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 .9575:Y=- 30 .51 94 0 .5537X3 0 .2 742 X4 0 .331 6X5,in which X3refers to the dressed weight (kg) ,X4 refers to the carcass length (cm) ,X5refers 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 .0 5) 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.