Deviation of behavioural and productive parameters in dairy cows due to a lameness event: a synthesis of reviews

Lameness is a widespread multifactorial condition affecting the health and performance of dairy cows. Despite the growing support by precision farming technologies, farmers still lack reliable data-driven tools to early identify lame cows. This study used a synthesis of reviews to identify cow’s behavioural and productive parameters most related to lameness and estimate their deviation due to a lameness event. The methodological approach used reviews as starting point to identify the most pertinent studies with the intention of extracting and analysing data from these primary studies. The final dataset used information collected from 31 research papers, cited in 15 reviews, and involved more than 25,000 dairy cows. Five parameters were suitable for the meta-analysis: one about eating behaviour (eating time), three regarding activity and resting behaviour (lying bouts, lying bout duration and lying time) and milk yield. The meta-analysis revealed that all parameters had a significant deviation in cows affected by lameness. The calculation of the pooled means allowed to quantify a mean value for the deviation imposed by a severe lameness event from the value recorded on nonlame cows. Compared to a nonlame animal, a lame cow had a significant negative deviation for eating time (−39 min/day), number of lying bouts (−0.5/day), and milk yield (−3 kg/day). Lame cows had positive deviations for lying bout duration (+12 min/bout) and daily lying time (+42 min/day). The individual or combined use of these mean deviation values as alarm reference thresholds could improve the accuracy of the current automated lameness detection systems. Feeding and resting habits, and milk yield had a significant deviation in lame cows.Lame cows decreased their time spent eating, lying bouts frequency, and milk yield.Lame cows had prolonged lying bout duration and daily lying time. Feeding and resting habits, and milk yield had a significant deviation in lame cows. Lame cows decreased their time spent eating, lying bouts frequency, and milk yield. Lame cows had prolonged lying bout duration and daily lying time.

跛行是一种影响奶牛健康与生产性能的广泛存在的多因素疾病。尽管精准农业（precision farming）技术的支持力度日益提升，但养殖户仍缺乏可靠的数据驱动工具以实现奶牛跛行的早期识别。本研究采用综述合成法，筛选出与奶牛跛行关联性最强的行为与生产性能参数，并量化跛行事件引发的参数偏离幅度。本研究以现有综述为方法论起点，遴选相关性最高的原始研究，旨在提取并分析其中的有效数据。最终数据集纳入了来自31篇研究论文的信息，这些论文被15篇综述引用，涉及超过25000头奶牛。最终筛选出适用于荟萃分析的5项参数：1项采食行为参数（采食时长）、3项活动与休息行为参数（躺卧次数、单次躺卧时长与每日躺卧总时长），以及产奶量。荟萃分析结果显示，跛行奶牛的所有上述参数均出现显著偏离。通过合并均值计算，我们量化了重度跛行事件相较于健康奶牛所引发的参数偏离均值。与健康奶牛相比，跛行奶牛的采食时长（-39分钟/日）、每日躺卧次数（-0.5次/日）与产奶量（-3千克/日）均出现显著负向偏离；而单次躺卧时长（+12分钟/次）与每日躺卧总时长（+42分钟/日）则呈现正向偏离。将这些平均偏离值单独或组合用作报警参考阈值，可有效提升当前自动化跛行检测系统的准确率。采食与休息行为特征及产奶量在跛行奶牛中均存在显著偏离：跛行奶牛的采食时长、每日躺卧次数与产奶量均有所下降，而单次躺卧时长与每日躺卧总时长则出现延长。

搜集汇总

背景与挑战

背景概述

该数据集通过meta分析研究了奶牛跛行事件对行为和生产参数的影响，发现跛行奶牛在进食时间、躺卧次数和产奶量上显著减少，而在躺卧持续时间和每日躺卧时间上显著增加。这些发现可用于改进自动化跛行检测系统的准确性。