Proximity Interactions in a Permanently Housed Dairy Herd: Network Structure, Consistency, and Individual Differences.
Proximity Interactions in a Permanently Housed Dairy Herd: Network Structure, Consistency, and Individual Differences.
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永久饲养的奶牛群中的邻近相互作用：网络结构、一致性和个体差异。
DOI：
10.3389/fvets.2020.583715
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发表时间：
2020
影响因子：
3.2
通讯作者：
Codling EA
中科院分区：
文献类型：
--
作者：
Chopra K;Hodges HR;Barker ZE;Vázquez Diosdado JA;Amory JR;Cameron TC;Croft DP;Bell NJ;Codling EA
了解圈养奶牛的牛群结构有可能揭示优先互动，检测指示疾病的行为变化，并优化农场管理制度。这项研究使用从无线本地定位系统收集的数据，在2014年10月期间调查了永久饲养的商业奶牛群的邻近相互作用网络的结构和一致性。通过持续的邻近互动(成对奶牛连续在3米内持续60 S或更长时间)确定牛群水平网络，并评估社会分化、时间稳定性和个体水平特征的影响，如跛行、产次和挤奶天数。我们确定了整个谷仓内以及其中特定功能区(喂食和不喂食)的邻近相互作用中个体间的差异水平。观察到的网络具有高度的连通性和时间上的多样性，在非摄食区的日常相互作用中具有显著的优先分类和个体间的差异。我们没有发现根据跛足、胎次或牛奶中的天数进行明显的社会分类。我们的研究展示了自动跟踪技术在监控大型商业相关牲畜群体中单个动物的邻近互动方面的潜在好处。
Understanding the herd structure of housed dairy cows has the potential to reveal preferential interactions, detect changes in behavior indicative of illness, and optimize farm management regimes. This study investigated the structure and consistency of the proximity interaction network of a permanently housed commercial dairy herd throughout October 2014, using data collected from a wireless local positioning system. Herd-level networks were determined from sustained proximity interactions (pairs of cows continuously within three meters for 60 s or longer), and assessed for social differentiation, temporal stability, and the influence of individual-level characteristics such as lameness, parity, and days in milk. We determined the level of inter-individual variation in proximity interactions across the full barn housing, and for specific functional zones within it (feeding, non-feeding). The observed networks were highly connected and temporally varied, with significant preferential assortment, and inter-individual variation in daily interactions in the non-feeding zone. We found no clear social assortment by lameness, parity, or days in milk. Our study demonstrates the potential benefits of automated tracking technology to monitor the proximity interactions of individual animals within large, commercially relevant groups of livestock.
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DOI：
10.1073/pnas.0711437105
发表时间：
2008-01-29
影响因子：
11.1
作者：
Ballerini, M.;Calbibbo, N.;Zdravkovic, V.
通讯作者：
Zdravkovic, V.
影响因子：
3.5
作者：
Cramer, M. C.;Ollivett, T. L.;Stanton, A. L.
通讯作者：
Stanton, A. L.
影响因子：
3.2
作者：
de Freslon, Ines;Peralta, J. M.;Monti, Gustavo
通讯作者：
Monti, Gustavo
影响因子：
2.3
作者：
Alsaaod, Maher;Roemer, Christoph;Buescher, Wolfgang
通讯作者：
Buescher, Wolfgang
影响因子：
2.6
作者：
Bran, Jose A.;Daros, Rolnei R.;Hotzel, Maria Jose
通讯作者：
Hotzel, Maria Jose