Social rank and personality are associated with visit frequency in dairy cows learning to use an automatic milking system

IF 4.2 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animal Pub Date : 2025-03-01 Epub Date: 2025-01-28 DOI:10.1016/j.animal.2025.101446
F.P. Johansen , S. Buijs , G. Arnott
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Abstract

Automatic milking systems (AMSs) require cows to perform relatively complicated behaviours: visiting the milking robot voluntarily at appropriate intervals and at a high enough frequency to maintain production. Failure to correctly learn this behaviour can lead to prolonged training for the affected cows, which in turn can result in increased labour, reduced milk yields, and reduced animal welfare. There is currently considerable individual variation between cows in the number of voluntary milking visits achieved per day which may be due to variation in learning ability, amongst other factors. A better understanding of factors influencing dairy cows during conditioning to use an AMS may ensure better adaptation to these systems. To that end, this study investigated the hypothesis that social ranking and measures of personality will influence the ability of cows learning to use AMS. Data were obtained from 30 cows newly transferred to an AMS. The personality attributes of all cows were assayed using two validated tests (human approach, novel object). Principal component analysis revealed two distinct attributes: Boldness and Sociality. In addition, agonistic interactions at the feed face and milking robot were collected over a 3-week period and used to construct a social ranking of the herd using the Elo method. Social ranking and the two personality attributes were used as independent variables in further analysis. Learning was assessed by the following variables, which were included in four separate GLMs as dependent variables; (1) Average voluntary visit frequency weeks zero to two, (2) Average voluntary visit frequency weeks zero to four, (3) Days until the cows’ first voluntary milking, (4) Days until last necessary training session. Cows with higher social rankings had a higher average voluntary visit rate in weeks zero to two and zero to four and a lower latency until their first voluntary milking. Cows that combined a low boldness score with a lower sociality score tended towards a longer latency until their first voluntary milking. We propose that social ranking could play a role in learning success in an AMS context and suggest developing specific training strategies targeting low-ranking cows. Further research is required to fully elucidate the effects of personality attributes on learning success; however, based on the outcomes of the current study, we suggest that investigating strategies for less bold and less social cows may be an important area for future research into improving learning efficacy, productivity, and welfare in this setting.
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在学习使用自动挤奶系统的奶牛中,社会地位和个性与访问频率有关
自动挤奶系统(ams)需要奶牛完成相对复杂的行为:在适当的时间间隔和足够高的频率自动访问挤奶机器人以维持生产。如果不能正确地学习这种行为,可能会导致对受影响的奶牛进行长时间的训练,从而导致劳动增加、产奶量减少和动物福利降低。目前,奶牛每天自愿挤奶的次数有很大的个体差异,这可能是由于学习能力的差异,以及其他因素。更好地了解在适应使用AMS过程中影响奶牛的因素可以确保更好地适应这些系统。为此,本研究探讨了社会等级和人格测量会影响奶牛学习使用AMS能力的假设。数据来自30头新转移到AMS的奶牛。所有奶牛的人格属性采用两种有效的测试(人类方法,新对象)进行分析。主成分分析揭示了两个不同的属性:大胆性和社会性。此外,在为期3周的时间内,收集了饲料面和挤奶机器人的激动相互作用,并使用Elo方法构建了牛群的社会排名。社会等级和两种人格属性作为自变量进行进一步分析。学习通过以下变量进行评估,这些变量作为因变量包含在四个独立的glm中;(1)平均自愿访问频率为0至2周,(2)平均自愿访问频率为0至4周,(3)距离奶牛第一次自愿挤奶的天数,(4)距离最后一次必要的培训课程的天数。社会排名较高的奶牛在第0 - 2周和第0 - 4周的平均自愿挤奶率较高,第一次自愿挤奶的潜伏期较低。大胆性得分和社会性得分都较低的奶牛,在第一次自愿挤奶前的潜伏期往往更长。我们提出社会排名可能在AMS环境下的学习成功中发挥作用,并建议针对低排名奶牛制定具体的训练策略。人格属性对学习成功的影响有待进一步研究;然而,基于目前的研究结果,我们建议,对胆子较小和社会性较差的奶牛进行策略研究,可能是未来研究提高这种情况下的学习效率、生产力和福利的一个重要领域。
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来源期刊
Animal
Animal 农林科学-奶制品与动物科学
CiteScore
7.50
自引率
2.80%
发文量
246
审稿时长
3 months
期刊介绍: Editorial board animal attracts the best research in animal biology and animal systems from across the spectrum of the agricultural, biomedical, and environmental sciences. It is the central element in an exciting collaboration between the British Society of Animal Science (BSAS), Institut National de la Recherche Agronomique (INRA) and the European Federation of Animal Science (EAAP) and represents a merging of three scientific journals: Animal Science; Animal Research; Reproduction, Nutrition, Development. animal publishes original cutting-edge research, ''hot'' topics and horizon-scanning reviews on animal-related aspects of the life sciences at the molecular, cellular, organ, whole animal and production system levels. The main subject areas include: breeding and genetics; nutrition; physiology and functional biology of systems; behaviour, health and welfare; farming systems, environmental impact and climate change; product quality, human health and well-being. Animal models and papers dealing with the integration of research between these topics and their impact on the environment and people are particularly welcome.
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