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Prediction of lameness using automatically recorded activity behavior and production data in post-parturient Irish dairy cows

机译:使用自动记录的活动行为和生产数据在术后爱尔兰奶牛中的自动记录的活动行为和生产数据预测

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摘要

The final data set consisted of 3799 behavioral observations with associated live weight and milk production data. All analyses were conducted using R version 3.4.2 [47]. Basic descriptive statistics were calculated using the “psych” package [49]. Given the objective of identifying potentially lame animals, cows which received LS 1 were labelled as “sound”, cows with LS ≥ 2 were labelled as “unsound”. This wording, instead of “lame” and” non-lame”, was chosen to create a more balanced data set, since there were not so many cows with LS > 3.
机译:最终数据集由3799个行为观察组成,具有相关的活力和牛奶生产数据。使用R 3.4.2 [47]进行所有分析。基本描述性统计数据使用“精明”套件[49]计算。鉴于识别潜在的跛足动物的目的,接收LS 1的奶牛被标记为“声音”,具有LS≥2的奶牛被标记为“不合作”。选择该措辞,而不是“跛脚”和“非跛脚”,以创建更平衡的数据集,因为没有LS> 3的许多奶牛。

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