Finding hens in a haystack: Consistency of movement patterns within and across individual laying hens maintained in large groups.
Finding hens in a haystack: Consistency of movement patterns within and across individual laying hens maintained in large groups.
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DOI：
10.1038/s41598-018-29962-x
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发表时间：
2018-08-17
影响因子：
4.6
通讯作者：
Toscano MJ
中科院分区：
文献类型：
--
作者：
Rufener C;Berezowski J;Maximiano Sousa F;Abreu Y;Asher L;Toscano MJ
我们试图客观地量化和比较记录的运动和商业系统内的蛋鸡的位置模式。使用自定义跟踪系统，我们监测的位置在五个区域内的商业鸟舍13母鸡在一群225动物连续11天。大多数母鸡表现出一种母鸡特有的模式，这种模式在几天内（视觉上）高度一致，尽管在这种一致性中，母鸡之间表现出明显的差异。使用三种不同的方法将单个每日数据集根据其相似性进行分组：（i）基于六个汇总变量（转换到每个区域）和总转换的线性判别分析;（ii）分层聚类，一种朴素的聚类分析技术，应用于汇总变量;以及iii）分层聚类应用于动态时间规整产生的相异性矩阵。这三种方法正确地分类了超过85%的母鸡日，并提供了一种独特的手段来评估系统的行为，表明相当程度的复杂性和结构。我们认为，目前的努力是第一次记录这些位置和运动模式在一个大的，复杂的商业系统有很大的潜力，影响动物福利，健康和生产力的评估。
We sought to objectively quantify and compare the recorded movement and location patterns of laying hens within a commercial system. Using a custom tracking system, we monitored the location within five zones of a commercial aviary for 13 hens within a flock of 225 animals for a contiguous period of 11 days. Most hens manifested a hen-specific pattern that was (visually) highly consistent across days, though, within that consistency, manifested stark differences between hens. Three different methods were used to classify individual daily datasets into groups based on their similarity: (i) Linear Discriminant Analysis based on six summary variables (transitions into each zone) and total transitions; (ii) Hierarchical Clustering, a naïve clustering analysis technique, applied to summary variables and iii) Hierarchical Clustering applied to dissimilarity matrices produced by Dynamic Time Warping. The three methods correctly classified more than 85% of the hen days and provided a unique means to assess behaviour of a system indicating a considerable degree of complexity and structure. We believe the current effort is the first to document these location and movement patterns within a large, complex commercial system with a large potential to influence the assessment of animal welfare, health, and productivity.
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DOI：
10.3390/ani4020374
发表时间：
2014-06-20
期刊：
Animals : an open access journal from MDPI
影响因子：
--
作者：
Bestman M;Wagenaar JP
通讯作者：
Wagenaar JP
影响因子：
2
作者：
LILLPERS, K
通讯作者：
LILLPERS, K
影响因子：
2.7
作者：
Keogh, E;Ratanamahatana, CA
通讯作者：
Ratanamahatana, CA
DOI：
10.20506/rst.33.1.2273
发表时间：
2014-04-01
影响因子：
0.6
作者：
Berckmans, D.
通讯作者：
Berckmans, D.
DOI：
10.3390/ani7030021
发表时间：
2017-03-09
期刊：
Animals : an open access journal from MDPI
影响因子：
--
作者：
Larsen H;Cronin GM;Gebhardt-Henrich SG;Smith CL;Hemsworth PH;Rault JL
通讯作者：
Rault JL