文山高峰牛母牛体重与体尺的相关性分析

The Correlation analysis between Body weight and body size of Wenshan cattle

中文关键词: 文山高峰牛  体重  体尺性状  相关性分析  逐步回归分析

英文关键词: Wenshan cattle  Body weight  Body size  Correlation analysis  Stepwise linear regression analysis

中文摘要:

      【目的】为了探究文山高峰牛母牛的体重与体尺性状的相关性，建立文山高峰牛母牛体重与体尺性状之间的最优回归方程，为文山高峰牛遗传参数的选择提供参考，并为牛品种的选育工作供理论依据。【方法】试验随机选取20头30月龄文山高峰牛母牛，测量体重(Y)、体高(X1)、十字部高(X2)、体斜长(X3)、胸围(X4)、腹围(X5)、管围(X6)，然后计算体重和体尺性状的变异程度并进行相关性分析、通径分析及逐步回归分析以建立其体重与体尺性状之间的最优回归方程。【结果】文山高峰牛母牛的体重的变异系数最大(9.42%)；体重与6项体尺性状均呈极显著正相关(P＜0.01)，腹围和体重间的相关系数最大(0.924)；通径分析结果显示，腹围对体重的直接作用较大，十字部高、体斜长、胸围对体重的间接作用大。【结论】腹围、十字部高、体斜长是影响体重的最主要性状，通过逐步回归分析构建的文山高峰牛母牛体重与体尺之间的最优回归方程为Y=-648.762+0.639X5+0.27X1+0.203X3(R2=0.952)。

英文摘要:

      [purpose] In order to explore the correlation between body weight and body-sized traits of Wenshan cattle, construct the optimal regression equation of body weight and body-sized traits in Wenshan cattle. It provides a reference for the selection of genetic parameters of Wenshan cattle and provides a theoretical basis for the selection and breeding of cattle breeds. [method] 20 Wenshan cattle aged 30 months were selected to measure their body weight(Y) and body height(X1 ), cross height (X2), body oblique length (X3), chest circumference (X4), abdominal circumference (X5), canal circumference (X6) to calculate coefficient, and do the correlation analysis, path analysis and stepwise linear regression analysis, to construct the optimal regression equation of body weight and body-sized traits in Wenshan cattle. [results] The coefficient of variation for body weight is the largest (9.42%). There was a very significant positive correlation between body weight and body size of Wenshan cattle (P ＜ 0.01). The largest correlation coefficient between body size and body weight of Wenshan cattle was abdominal circumference (0.924). The results of the path analysis show that: the abdominal circumference had a greater direct effect on body weight, the cross height, body oblique length and chest circumference had a greater indirect effect on body weight. [conclusion] abdominal circumference, cross height and body oblique length are the most important traits that affect body weight; the optimal regression equation between the weight and body size of Wenshan cattle constructed by stepwise regression analysis is Y=-648.762+0.639X5+0.27X1+0.203X3 (R2=0.952).