首页> 外文期刊>Journal of Swine Health and Production >Prediction of live body weight using length and girth measurements for pigs in rural Western Kenya.
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Prediction of live body weight using length and girth measurements for pigs in rural Western Kenya.

机译:使用肯尼亚西部农村地区的猪的身长和围长测量值来预测活体重。

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摘要

Objectives: To develop and validate a pig weight-estimation method using body length and girth measurements. Methods: In a random sample of 288 smallholder pig farms in Western Kenya, pigs were weighed (kg) and their lengths and girths were measured (cm). Prediction models were generated using 75% of the data and validated using the remaining 25%. Weight was regressed on length and girth using mixed model analysis after controlling for village as a random effect. Models were developed for pigs categorized as young (<=5 months), market age (5.1 months to 9.9 months), and breeding age (>=10 months). Results: Weights (mean+or-SD) of the young, market-age, and breeding-age pigs were 12+or-6.1 kg, 30+or-11.4 kg, and 42+or-17.0 kg, respectively. Models for the young, market-age, and breeding-age pigs were weight=0.18 (length)+0.36 (girth)-16, weight=0.39 (length)+0.64 (girth)-48, and weight=0.36 (length)+1.02 (girth)-74, respectively. A single prediction model for weight=0.25 (length)+0.56 (girth)-32 was also developed. Weight predicted by the models was a more accurate estimate than that provided by the farmers (P<.05). Length and girth explained 88% to 91% of the total variation in weight. Implications: The weight-estimation tool will empower Kenyan farmers to have better bargaining powers when they sell their pigs and will act as an incentive to better manage their pigs through improved feeding and husbandry.
机译:目的:开发和验证使用体长和周长测量值的猪体重估算方法。方法:在肯尼亚西部288个小农户农场的随机样本中,对猪进行称重(kg),并测量其长度和周长(cm)。使用75%的数据生成预测模型,并使用其余25%的数据进行验证。在控制村庄为随机效应之后,使用混合模型分析对体重进行了长度和周长的回归分析。为分类为年幼(<= 5个月),上市年龄(5.1个月至9.9个月)和育种年龄(> = 10个月)的猪开发了模型。结果:成年,成年和育龄猪的体重(均值或标准差)分别为12+或-6.1 kg,30 +或-11.4 kg和42+或-17.0 kg。年幼,适龄和育龄猪的模型分别是体重= 0.18(长)+0.36(围)-16,体重= 0.39(长)+0.64(围)-48,体重= 0.36(长)。 +1.02(围长)-74。还开发了重量= 0.25(长度)+0.56(周长)-32的单个预测模型。模型预测的权重比农民提供的权重更准确(P <.05)。长度和周长解释了重量总变化的88%至91%。启示:权重估算工具将使肯尼亚农民在出售猪时具有更好的议价能力,并将通过改善饲喂和饲养来激励他们更好地管理猪。

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