奶牛卧地和采食行为的可重复性和可预测性

IF 2.2 2区 农林科学 Q1 VETERINARY SCIENCES Preventive veterinary medicine Pub Date : 2024-10-15 DOI:10.1016/j.prevetmed.2024.106357
Matthew Thomas, Francesca Occhiuto, Martin Green, Jorge A Vázquez-Diosdado, Jasmeet Kaler
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引用次数: 0

摘要

行为上的细微变化可作为农场动物疾病或压力的早期指标,利用精准畜牧技术可以检测到这些变化。然而,由于动物之间的基本行为往往存在差异,如果我们想成功检测到异常情况,就必须测量并考虑个体差异。除了在平均行为上存在一致的个体差异(称为行为类型,用重复性来衡量)外,动物在围绕自身平均值的日变化量上也可能存在差异。这就是所谓的可预测性,在动物身上很少能测量到,因为这需要长时间高粒度的数据,而没有精密技术是很难获得这些数据的。在这里,我们旨在量化奶牛卧地和采食行为的可重复性和可预测性,这两种行为曾被研究作为疾病的潜在指标,但结果并不一致。我们利用腿部安装的传感器获得的 1439 头奶牛的日常躺卧行为数据和颈部安装的传感器获得的 2584 头奶牛的日常采食行为数据,对个体之间的差异、可预测性的个体差异以及个体行为类型与同一行为的可预测性之间的任何相关性进行了量化。利用多变量双分层广义线性模型,我们首次量化了成年奶牛采食和卧地行为的个体差异。在所有卧地和采食行为的测量中,个体间都存在一致的差异,每天采食时间的重复性为 0.38,每天卧地时间的重复性为 0.34。个体间的可预测性水平也存在差异,日卧姿和采食时间的可预测性系数分别为 0.46 和 0.29。最后,几种行为与同一种行为的个体内残余变异量之间存在明显的正相关(平均卧地时间:0.93,平均采食时间:0.88),这表明两种行为间隔时间最长的奶牛变异性和不可预测性也更高,这可能是机会主义策略所致。这些结果突出了测量个体行为差异的重要性,支持了牛的个性特征以及可预测性差异的证据,在使用行为指标进行早期疾病诊断时必须考虑到这一点。
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Repeatability and predictability of lying and feeding behaviours in dairy cattle
Subtle changes in behaviour, which may be useful as early indicators of disease or stress in farm animals, can be detected using precision livestock technologies. However, as animals often display differences in their baseline behaviours from one another, individual variation needs to be measured and accounted for if we want to successfully detect abnormalities. In addition to consistent individual differences in their mean behaviour, which are called behavioural types and measured by repeatability, animals may differ in the amount of day-to-day variation around their own mean. This is known as predictability and it is very rarely measured in animals as it requires data with high granularity for extended periods of time, which is hard to obtain without precision technologies. Here we aim to quantify the repeatability and predictability of lying and feeding, two behaviours which have been investigated as potential indicators of disease with inconsistent results, in dairy cows. We used data on daily lying behaviours from leg-mounted sensors for 1439 cows and data on daily feeding behaviours from neck-mounted sensors for 2584 cows belonging to multiple herds to quantify the variation between individuals, the individual differences in predictability and any correlations between individual behaviour type and predictability of the same behaviour. Using multivariate double hierarchical generalised linear models, we were able to quantify individual variation in feeding and lying behaviours of adult cows for the first time. Consistent variation between individuals was present for all measures of lying and feeding with repeatability values of 0.38 for daily feeding time and 0.34 for daily lying time. Individuals also varied in their levels of predictability with coefficients of 0.46 and 0.29 for the daily lying and feeding time respectively. Lastly, there were significant positive correlations between several behaviours and the amount of residual intra-individual variation for the same behaviour (mean lying bout length: 0.93, mean feeding bout length: 0.88), indicating that cows with the longest bouts of the two behaviours were also more variable and unpredictable, perhaps due to an opportunistic strategy. These results highlight the importance of measuring individual variation in behaviour, supporting the evidence of personality traits in cattle, as well as differences in predictability, which must be taken into account in any use of behavioural indicators for early disease diagnosis.
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来源期刊
Preventive veterinary medicine
Preventive veterinary medicine 农林科学-兽医学
CiteScore
5.60
自引率
7.70%
发文量
184
审稿时长
3 months
期刊介绍: Preventive Veterinary Medicine is one of the leading international resources for scientific reports on animal health programs and preventive veterinary medicine. The journal follows the guidelines for standardizing and strengthening the reporting of biomedical research which are available from the CONSORT, MOOSE, PRISMA, REFLECT, STARD, and STROBE statements. The journal focuses on: Epidemiology of health events relevant to domestic and wild animals; Economic impacts of epidemic and endemic animal and zoonotic diseases; Latest methods and approaches in veterinary epidemiology; Disease and infection control or eradication measures; The "One Health" concept and the relationships between veterinary medicine, human health, animal-production systems, and the environment; Development of new techniques in surveillance systems and diagnosis; Evaluation and control of diseases in animal populations.
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