北川白山羊母羊体重与体尺性状的相关及回归分析  

Correlation and Regression Analysis of Body Weight and Body Size Traits in Beichuan White Goats

作　　者：周爱民 王育伟 张晓晖 李廷见 肖龙 周玉刚 刘亚东 ZHOU Ai-min;WANG Yu-wei;ZHANG Xiao-hui;LI Ting-jian;XIAO Long;ZHOU Yu-gang;LIU Ya-dong(Institute of Livestock,Poultry and aquiculture,Mianyang Agricultural Science Research Institute,Mianyang 621023,China)

机构地区：[1]四川省绵阳市农业科学研究院畜禽水产研究所,621023

出　　处：《当代畜牧》2020年第6期29-32,共4页Contemporary Animal Husbandry

基　　金：国家肉羊产业技术体系项目(CARS-38);四川省肉羊创新团队(CXTD2019-14)。

摘　　要：笔者采用SPSS软件对90只成年母羊和50只后备母羊体重体尺性状进行相关分析,并采用逐步回归法,建立最优回归方程。后备母羊体重与体长、体高、胸围和管围的相关性都达到了显著水平(P<0.05),相关系数分别为0.609、0.480、0.582和0.428。成年母羊体重与体长、胸围和管围的相关性都达到了显著水平(P<0.05),相关系数分别为0.508、0.420和0.449。北川白山羊后备母羊和成年母羊体尺指标对体重(Y)的最优回归方程分别为Y=0.414X1+1.046X4-8.599,Y=0.369X1+0.282X2+0.240X3+1.691X4-37.124。本研究明确了北川白山羊后备母羊和成年母羊体重与体尺指标的关系,可为今后北川白山羊的品种选育工作提供参考。To provide a theoretical basis for species selection and breeding of Beichuan White Goat,the data of body weights and body sizes from 90 adult and 50 reserve ewe Beichuan White Goats were analyzed by SPSS software with regression analysis and correlation analysis,stepwise regression analysis method,the optimal regression equation was established.The body length(X1),body height(X2),chest circumference(X3)and tube circumference(X4)of the reserve ewe were all significantly correlated(P<0.05),and the correlation coefficients were 0.609,0.480,0.582 and 0.428,respectively.The body length,chest circumference and tube circumference of adult ewe were significantly correlated(P<0.05)with the correlation coefficients of 0.508,0.420 and 0.449,respectively.The optimal regression equations of body size of reserve and adult ewe of Beichuan White Goats on body weight(Y)were:Y=0.414X1+1.046X4-8.599,Y=0.369X1+0.282X2+0.240X3+1.691X4-37.124,respectively.This study clarified the relationship between body weight and body size index of Beichuan White Goat reserve and adult ewe,which could provide reference for breed breeding of Beichuan White Goat in the future.

关 键 词：北川白山羊 体重 体尺 相关性分析 回归分析 

分 类 号：S826.2[农业科学—畜牧学]