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Use of body linear measurements to estimate liveweight of crossbred dairy cattle in smallholder farms in Kenya

机译:使用身体线性测量估算肯尼亚小农户杂交牛的活重

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摘要

Body linear measurements, and specifically heart girth (HG), have been shown to be useful predictors of cattle liveweight. To test the accuracy of body linear measurements for predicting liveweight, crossbred dairy cattle of different genotypes were measured and weighed. A total of 352 mature cows and 100 heifers were weighed using an electronic weighing scale and measurements of HG, body length, height at withers were taken using an ordinary measuring tape and body condition scored (BCS) using a five-point scale. The animals were grouped according to genotype and age. Genotype classification was undertaken from farmer recall and by visual appraisal as 40–60, 61–80 or 81–100 % exotic (non-indigenous). Age classification was simply as mature cows or heifers. Liveweight of the animals ranged from 102 to 433 kg. Liveweight was strongly correlated with HG (r = 0.84) and body condition scores (r = 0.70) and moderately correlated with body length (r = 0.64) and height at withers (0.61). Regressing LW on HG measurements gave statistically significant (P < 0.01) equations with R2 ranging from of 0.53 to 0.78 and residual standard deviation ranging from 18.11 to 40.50 kg. The overall model developed (adjusted R2 = 0.71) had a prediction error of 26 kg (or 11 % of the mean) and predicted LW of over 95 % of crossbred dairy cattle in the range of 100–450 kg, regardless of age and breed group. Including BCS in the model slightly improved the model fit but not the prediction error. It was concluded that the model can be useful in making general management decisions in smallholder farms.
机译:身体线性测量,特别是心脏围幅(HG),已被证明是牛活量的有用预测指标。为了测试用于预测体重的身体线性测量的准确性,对不同基因型的杂交奶牛进行了测量并称重。使用电子秤对总共352头成年母牛和100头小母牛进行称重,并使用普通卷尺对HG,身长,肩with高度进行测量,并使用五点秤对身体状况评分(BCS)。根据基因型和年龄将动物分组。从农民召回中进行基因型分类,并通过目测评估为外来(非本地)为40-60%,61-80或81-100%。年龄分类只是作为成熟的母牛或小母牛。动物的活重从102到433公斤不等。体重与HG(r = 0.84)和身体状况评分(r = 0.70)密切相关,与体重(r = 0.64)和肩高(0.61)高度相关。在HG测量中对LW进行回归分析得出具有统计学意义(P <0.01)的方程,R 2 的范围为0.53至0.78,残留标准偏差为18.11至40.50 kg。所开发的整体模型(调整后的R 2 = 0.71)的预测误差为26 kg(或平均值的11%),并且预测100%范围内杂种牛的LW超过95% 450公斤,不分年龄和品种。在模型中包含BCS可以稍微改善模型拟合,但不能改善预测误差。结论是,该模型可用于制定小农户的一般管理决策。

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