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Prediction of body weight from body measurements in grass cutters

机译:根据割草机的人体测量值预测体重

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摘要

In order to predict the body weight of grass cutters from linear body measurements, the weights and measurements of 50 intensively managed female grass cutters aged 5 months were fitted into linear, quadratic and cubic regression models. Highly significant (p < 0.01) R (2) values ranging from 74 to 98 % were obtained indicating that all body measurements were good predictors of body weight. Although quadratic and cubic models gave slightly higher R (2) values than linear models, it is recommended that farmers should use a simple linear equation based on tail length or heart girth to predict the body weight of their grass cutters. The recommended equations are (weight in kg) = 0.47 + 0.08 (tail length in cm) and (weight in kg) = 0.32 + 0.07 (heart girth in cm).
机译:为了从线性人体测量值预测割草机的体重,将50个年龄在5个月以上的集约化管理女性割草机的重量和测量值拟合到线性,二次和三次回归模型中。获得的高显着性(p <0.01)R(2)值在74%到98%之间,表明所有身体测量值都是体重的良好预测指标。尽管二次模型和三次模型的R(2)值均比线性模型高,但建议农民应使用基于尾巴长度或心长的简单线性方程式来预测割草机的体重。推荐的等式为(重量(千克))= 0.47 + 0.08(尾部长度以厘米为单位)和(重量(千克))= 0.32 + 0.07(心脏周长以厘米为单位)。

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