PREDICTING BODY-WEIGHT AND WITHER HEIGHT IN HOLSTEIN HEIFERS USING BODY MEASUREMENTS
PREDICTING BODY-WEIGHT AND WITHER HEIGHT IN HOLSTEIN HEIFERS USING BODY MEASUREMENTS
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DOI：
10.3168/jds.s0022-0302(92)78134-x
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发表时间：
1992-12-01
影响因子：
3.5
通讯作者：
COOPER, JB
中科院分区：
文献类型：
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作者：
HEINRICHS, AJ;ROGERS, GW;COOPER, JB
体重之间的关系，枯萎的高度，和各种其他身体特征，包括胸围，体长，臀宽，进行了研究，使用数据从6个实验2625观察。体重和枯高与其它体尺性状呈回归关系。体重的回归包括单个自变量（胸围、枯萎高度、臀宽或体长）的线性、二次和三次效应，表明每种测量值都可用于预测体重（R2 > .95）;体重对胸围的回归具有最高的R2，其次是臀宽。同样，枯萎高度对胸围、枯萎高度、臀部宽度或体长的回归，包括线性、二次和三次效应，得出R2 > 0.99。考虑多个性状作为自变量的回归表明，第二个身体性状的增加几乎没有增加已经很高的多重相关性与一个单一的变量。在无法测量体重或枯萎高度的管理情况下，可以使用各种其他性状来准确估计这些身体测量值。
Relationships between body weight, wither height, and various other body traits, including heart girth, body length, and hip width, were studied using data from six experiments with 2625 observations. Body weight and wither height were regressed on the other body traits. Regressions of body weight including the linear, quadratic, and cubic effects of a single independent variable (heart girth, wither height, hip width, or body length) indicated that each measurement would be useful in predicting body weight (R2 > .95); the regression of body weight on heart girth had the highest R2, followed by hip width. Similarly, regressions of wither height on heart girth, wither height, hip width, or body length, including linear, quadratic, and cubic effects, yielded R2 > .99. Regressions considering multiple traits as independent variables showed that the addition of a second body trait added little to the already high multiple correlations found with a single variable. In management situations for which body weight or wither height cannot be measured, various other traits can be used to estimate these body measurements accurately.