对饮酒行为的自动纵向测量有助于深入了解奶牛的社会等级制度

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摘要

在商业化农场中,奶牛为获得饲料和水而展开竞争。在这项研究中,我们使用 EloSteepness 评估了 87 头饲养在动态群组中的奶牛的 Elo 获胜概率总和(即优势),并根据其陡度(即群组中相邻等级个体之间获胜概率的平均差异程度,范围从 0 到 1)比较了由此产生的社会等级制度。我们在饮水器处发现的等级陡度为 0.55 ± 0.02(标清),而同一时期在饲喂器处发现的等级陡度为 0.45 ± 0.02,这表明奶牛在争夺饲料时的优势差异小于争夺水时的优势差异。每头奶牛在饲喂器和饮水器上的获胜概率呈中度相关(rs = 0.55),处于等级结构低端和高端的奶牛表现出良好的一致性。我们比较了炎热期(即温湿度指数[THI] ≥72)和正常期(即温湿度指数<72)的饮水器等级。炎热期(0.54 ± 0.03)和正常期(0.56 ± 0.03)的分层陡度相似,而且不同时期奶牛的个体获胜概率存在很强的相关性(rs = 0.87)。获胜概率较高的奶牛光顾饮水器的次数较少(炎热:rs = -0.40,正常:rs = -0.33),但平均日饮水量较高(炎热:rs = 0.38,正常:rs = 0.37)。我们还发现有证据表明,个体奶牛的饮水时间因其中奖概率的不同而不同;中奖概率较低的奶牛的饮水时间转移到挤奶后的访问高峰之前或之后。利用饮水器自动识别持续高胜率或低胜率的奶牛,有助于为牧场的分群决策和供水提供信息。
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Automated, longitudinal measures of drinking behavior provide insights into the social hierarchy in dairy cows

Dairy cows compete for feed and water access on commercial farms. In this study we used EloSteepness to assess the summed Elo winning probabilities (i.e., dominance) of 87 cows housed in a dynamic group and compared the resulting social hierarchies based on their steepness (i.e., the average degree of differences in winning probability between adjacently ranked individuals in the group, ranging from 0 to 1). We identified a hierarchy at the drinker with a steepness of 0.55 ± 0.02 (SD), whereas the hierarchy detected at the feeder during the same time period was 0.45 ± 0.02, indicating smaller dominance differences among cows when competing for feed compared with competing for water. Individual cows' winning probabilities at the feeder and drinker were moderately correlated (rs = 0.55), and cows at the lower and upper ends of the hierarchy showed good agreement. We compared the drinker hierarchy between hot (i.e., temperature-humidity index [THI] ≥72) and normal (i.e., THI <72) periods. The hierarchy steepness was similar in both hot (0.54 ± 0.03) and normal conditions (0.56 ± 0.03), and there was a strong correlation in cows' individual winning probabilities across these periods (rs = 0.87). Cows with higher winning probability visited the drinker less frequently (hot: rs = −0.40, normal: rs = −0.33) but had a higher average daily water intake (hot: rs = 0.38, normal: rs = 0.37). We also found evidence that individual cows' drinking times differ depending on their winning probability; cows with lower winning probability shifted their drinking times to before or after the visit peak after milking. Automatically identifying cows with consistently high or low winning probabilities using drinkers may help inform grouping decisions and water provision on farms.

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JDS communications
JDS communications Animal Science and Zoology
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