Gladden Nicola, Cuthbert Erin, Ellis Kathryn, McKeegan Dorothy
Scottish Centre for Production Animal Health and Food Safety, University of Glasgow School of Veterinary Medicine, Bearsden Road, Glasgow G61 1QH, UK.
Institute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow Garscube Estate, Bearsden Road, Glasgow G61 1QH, UK.
Animals (Basel). 2020 Jul 5;10(7):1137. doi: 10.3390/ani10071137.
Traditionally, the welfare assessment of farm animals has focused on health and production outcomes. Positive welfare is, however, not merely the absence of negative welfare and is an important part of a life worth living. Play behaviour is widely considered to be an indicator of positive emotions because it is a "luxury" behaviour. Direct visual observation is considered the most accurate method of behavioural analysis, but it is time consuming and laborious. There is increasing interest in the use of remote monitoring technology to quantify behaviour. We compared the data output ("motion index" (MI)) from a commercially available tri-axial accelerometer fitted to newborn dairy calves to video footage of the same calves, with a focus on play behaviour. The motion index values over 48 h were positively correlated with both the duration of play behaviour and the number of play bouts. The motion index threshold in each sample interval with the optimal sensitivity and specificity for the identification of play behaviour was MI ≥ 2.5 at a 1 min resolution (sensitivity (Se) = 98.0%; specificity (Sp) = 92.9%) and MI ≥ 24.5 at a 15 min resolution (Se = 98.0%; Sp = 89.9%), but these values consistently overestimated the overall proportion of sample intervals in which play was observed. The MI that best reflected the results obtained from visual one-zero sampling was MI ≥ 23 for 1 min intervals and MI ≥ 62 for 15 min intervals-this may therefore be the basis of a more conservative approach to the identification of play behaviour from accelerometer-generated data. Our results indicate that accelerometer-generated data can usefully indicate the amount of play behaviour shown by newborn calves for up to 48 h, providing an efficient method for identifying this important parameter in future work.
传统上,农场动物的福利评估主要集中在健康和生产结果上。然而,积极福利不仅仅是没有负面福利,而且是有意义生活的重要组成部分。玩耍行为被广泛认为是积极情绪的一个指标,因为它是一种“奢侈”行为。直接视觉观察被认为是行为分析最准确的方法,但它既耗时又费力。人们对使用远程监测技术来量化行为的兴趣与日俱增。我们将安装在新生奶牛犊身上的商用三轴加速度计的数据输出(“运动指数”(MI))与同一犊牛的视频片段进行了比较,重点是玩耍行为。48小时内的运动指数值与玩耍行为的持续时间和玩耍次数均呈正相关。在1分钟分辨率下,每个样本间隔中用于识别玩耍行为的具有最佳灵敏度和特异性的运动指数阈值为MI≥2.5(灵敏度(Se)=98.0%;特异性(Sp)=92.9%),在15分钟分辨率下为MI≥24.5(Se=98.0%;Sp=89.9%),但这些值始终高估了观察到玩耍行为的样本间隔的总体比例。最能反映从视觉上的一零抽样获得结果的运动指数是:1分钟间隔时MI≥23,15分钟间隔时MI≥62——因此,这可能是一种更保守的从加速度计生成的数据中识别玩耍行为的方法的基础。我们的结果表明,加速度计生成的数据可以有效地指示新生犊牛在长达48小时内表现出的玩耍行为量,为在未来工作中识别这一重要参数提供了一种有效的方法。