【摘要】 采用SPSS 19.0软件对甘肃高山细毛羊体重与体尺指标进行相关性分析、通径分析、逐步回归分析,并对其相关系数进行分解。通过对体重与体尺指标的逐步回归分析,得出了体重与体尺指标之间的最优回归模型。结果表明:体高（X₁）、体长（X₂）、胸围（X₃）、胸深（X₄）均对甘肃高山细毛羊体重产生极显著影响（P<0.01）,对体重（Y）的相关系数分别为:0.766,0.837,0.834,0.801。体长（X₂）、胸围（X₃）指标均通过直接作用和间接作用对体重（Y）产生影响,而体高（X₁）、胸深（X₄）则主要通过辅助其他性状对体重（Y）产生间接作用。甘肃高山细毛羊体尺指标（X_i）对体重（Y）的最优回归方程:Y=-43.851+0.425X₂+0.587X₃。估测值与实测值之间的相关程度为0.914,决定系数R²为0.836,拟合程度较高。更多还原

【Abstract】 The phenotypic correlations,path coefficients,direct and indirect correlations between the body weight and several body sizes of Gansu alpine fine- wool sheep were analyzed by SPSS 19. 0 software. Then the optimum regression equation between the body weight and body sizes was established. The results indicated that the body height（ X₁）,body length（ X₂）,chest circumference（ X₃） and chest depth（ X₄） showed significant correlations with the body weight at the 0. 01 level. The phenotypic correlations were 0. 766,0. 837,0. 834,0. 801,respectively. The body length（ X₂） and chest circumference（ X₃） had significant influences on the body weight directly and indirectly. However,the body height（ X₁） and chest depth（ X₄） showed effects on the body weight indirectly by assisting other characters. The optimal regression model of the body sizes（ Xi） and body weight（ Y） was established by the stepwise regression as Y =- 43. 851 + 0. 425X₂+ 0. 587X₃.（ R²= 0. 836,P < 0. 01）.更多还原