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自动检测奶牛的摄食和饮水相关的争食行为和优势等级。

Automatic detection of feeding- and drinking-related agonistic behavior and dominance in dairy cows.

机构信息

Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology, 18196 Dummerstorf, Germany.

Animal Welfare Program, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.

出版信息

J Dairy Sci. 2019 Oct;102(10):9176-9186. doi: 10.3168/jds.2019-16697. Epub 2019 Aug 7.

Abstract

Accurate assessments of social behavior and dominance relationships in cattle can be time consuming. We investigated whether replacements at the feed bunk and water trough-one type of agonistic interaction-can be used to automatically assess dominance relationships. Our study set out to (1) validate a replacement detection algorithm using combined data from electronic feed and water bins, and (2) investigate the applicability of this algorithm to identify individual dominance scores and group-level social hierarchy in freestall-housed dairy cows. We used 4 groups of lactating cows kept in different group sizes (11 to 20 cows) located at 2 research facilities. In both facilities, feed and water were provided via automated feeding systems. A trained observer recorded all agonistic interactions in the pen over multiple days using video. Data from the electronic feed and water bins for the same days were analyzed using an algorithm to detect replacements (i.e., visits where a receiver cow was competitively replaced by an actor cow). Most agonistic interactions at the feed bunk were replacements. These replacements were associated with a brief interval between the time the receiver cow left the bin and the actor cow took her place; the optimal threshold to detect these replacements varied from 22 to 27 s between groups, independent of stocking density. The recall and precision of an algorithm based upon this threshold was high (on average >0.8), comparable to that of trained human observers. We improved data preparation by controlling for detection errors and included filtering to reduce false positives. This resulted in a >20% decrease in false positives and an increase in precision of 0.043. The dominance hierarchy based upon algorithm-detected replacements was similar to that based upon total agonistic interactions observed in the pen; the Spearman rank correlation coefficient between these hierarchies varied among the groups from 0.81 to 0.96. We conclude that data from electronic feed and water bins can accurately estimate agonistic behavior and dominance relationships among dairy cows.

摘要

准确评估牛的社会行为和支配关系可能需要花费大量时间。我们研究了牛在饲料槽和水糟处的替换行为(一种争食行为)是否可以用来自动评估支配关系。我们的研究旨在:(1) 使用电子饲料和水槽的组合数据验证替换检测算法;(2) 研究该算法在识别个体支配分数和群体社会等级中的适用性,该研究使用了 4 组在不同群体规模(11 至 20 头奶牛)下饲养的泌乳奶牛,这些奶牛分布在 2 个研究设施中。在这两个设施中,饲料和水都是通过自动化喂养系统提供的。一名经过培训的观察员在多天内使用视频记录了围栏内的所有争食行为。同一日的电子饲料和水数据使用算法分析,以检测替换行为(即接收牛被竞争牛替换的行为)。在饲料槽处发生的大多数争食行为都是替换行为。这些替换行为与接收牛离开料槽和竞争牛占据料槽之间的短暂时间间隔有关;该间隔的最佳阈值在不同群体之间变化范围为 22 至 27 秒,与牛群密度无关。基于该阈值的算法的召回率和准确率都很高(平均>0.8),与经过训练的人类观察者相当。我们通过控制检测错误和包括过滤来减少误报,从而改进了数据准备。这导致误报减少了>20%,并且精度提高了 0.043。基于算法检测到的替换行为的优势等级与在围栏中观察到的总争食行为相似;这些等级之间的 Spearman 等级相关系数在群体中变化范围为 0.81 至 0.96。我们得出结论,电子饲料和水数据可以准确估计奶牛之间的争食行为和优势关系。

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