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热带乳牛的行为适应:洞察生产日预测

Aqeel Raza^1,2, Kumail Abbas^1,2, Theerawat Swangchan-Uthai³

¹International Graduate Program of Veterinary Science and Technology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10440, Thailand.

Animals : an open access journal from MDPI

|June 27, 2024

概括

监测奶牛活动模式可以预测分娩日. 活动水平在分娩时达到顶峰,提供可靠的指标,特别是在热带环境中.

科学领域:

动物科学动物科学
乳制品生产乳制品生产
生殖生物学生殖生物学

背景情况:

过渡期的监测对于奶牛的福利和管理至关重要.
预测分娩日有助于及时干预和资源分配.
活动模式为生殖事件提供了潜在的非侵入性指标.

研究的目的:

调查在过渡期期间热带奶牛活动模式的变化.
评估活动数据的有效性,以预测分娩日.
在不同的机器学习模型中比较预测性能.

主要方法:

利用AfiTag-II生物传感器跟踪霍尔斯坦弗里西亚牛的活动,休息和不安.
分析了来自三个哺乳群的298头产前和347头产后奶牛的数据.
采用了通用的线性混合模型和五种机器学习算法 (随机森林,梯度增强等). 用ROC曲线和AUC指标进行预测和评估.

主要成果:

活动水平在分娩当天达到顶峰,在分娩后两周内恢复到产前水平.
与年龄较大的奶牛相比,第一次哺乳的奶牛的产前休息时间明显较短.
随机森林 (85%AUC) 和梯度增强 (83%AUC) 模型显示出有效的分娩日预测性能.

结论:

奶牛活动行为的时间变化是分娩日的有价值预测指标.
活动监测在热带气候中特别有用,因为其他指标可能不那么可靠.
机器学习模型,特别是随机森林和梯度增强,显示出使用活动数据进行分娩预测的巨大潜力.

关键词:

活动活动行为行为活动行为.动物福利动物福利机器学习算法机器学习算法这是一个智能生物传感器.过渡期是过渡期的时间.热带气候是一个热带气候.

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