Personality and predictability in farmed calves using movement and space-use behaviours quantified by ultra-wideband sensors.

Personality and predictability in farmed calves using movement and space-use behaviours quantified by ultra-wideband sensors.
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DOI:
10.1098/rsos.212019
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发表时间:
2022-06
影响因子:
3.5
通讯作者:
--
中科院分区:
综合性期刊3区
文献类型:
--
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一个群体中的个体通常在其平均行为表达(个性)中表现出一致的个体差异,并且在其平均值(可预测性)周围的个体行为变异性中表现出一致的差异。当不同的人格特质和/或特质的可预测性之间存在相关性时,这些代表行为或可预测性综合征。在野生种群中,行为综合征对个体的生存和繁殖产生影响,并影响群体和种群的结构和功能。行为综合征对农场动物的影响还没有得到很好的研究,部分原因是在农场环境中量化许多个体在不同时间和背景下的行为的挑战。在这里,我们使用超宽带位置传感器,在40-48天内为60头小牛提供精确的运动和空间使用测量。我们是第一个牲畜研究,以证明一致的内部和之间的运动和空间使用的重复性值高达0.80和CVp值高达0.49的个体差异。我们的研究结果表明,在个性和可预测性的相关性,表明存在的“探索性”和“积极”的个性特征,在养殖小牛。我们认为,这种个体差异的后果牛的行为和福利,以及如何使用这些数据,以告知管理决策,在农场动物。
Individuals within a population often show consistent between individual differences in their average behavioural expression (personality), and consistent differences in their within individual variability of behaviour around the mean (predictability). Where correlations between different personality traits and/or the predictability of traits exist, these represent behavioural or predictability syndromes. In wild populations, behavioural syndromes have consequences for individuals' survival and reproduction and affect the structure and functioning of groups and populations. The consequences of behavioural syndromes for farm animals are less well explored, partly due to the challenges in quantifying behaviour of many individuals across time and context in a farm setting. Here, we use ultra-wideband location sensors to provide precise measures of movement and space use for 60 calves over 40–48 days. We are the first livestock study to demonstrate consistent within and between individual variation in movement and space use with repeatability values of up to 0.80 and CVp values up to 0.49. Our results show correlations in personality and predictability, indicating the existence of ‘exploratory’ and ‘active’ personality traits in farmed calves. We consider the consequences of such individual variability for cattle behaviour and welfare and how such data may be used to inform management decisions in farm animals.
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