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Are infrared thermography, feeding behavior, and heart rate variability measures capable of characterizing group-housed sow social hierarchies?

妊娠期 等级制度 四分位数 热成像 福利 动物科学 生物 统计 数学 红外线的 怀孕 物理 置信区间 政治学 遗传学 经济 法学 光学 市场经济
作者
Dominique M Sommer,Jennifer M. Young,Xiaorui Sun,Giancarlo López‐Martínez,Christopher J. Byrd
出处
期刊:Journal of Animal Science [Oxford University Press]
卷期号:101
标识
DOI:10.1093/jas/skad143
摘要

Group gestation housing is quickly becoming standard practice in commercial swine production. However, poor performance and welfare in group housed sows may result from the formation and maintenance of the social hierarchy within the pen. In the future, the ability to quickly characterize the social hierarchy via precision technologies could be beneficial to producers for identifying animals at risk of poor welfare outcomes. Therefore, the objective of this study was to investigate the use of infrared thermography (IRT), automated electronic sow feeding systems, and heart rate monitors as potential technologies for detecting the social hierarchy within five groups of sows. Behavioral data collection occurred for 12 h after introducing five sow groups (1-5; n = 14, 12, 15, 15, and 17, respectively) to group gestation housing to determine the social hierarchy and allocate individual sows to 1 of 4 rank quartiles (RQ 1-4). Sows within RQ1 were ranked highest while RQ4 sows were ranked lowest within the hierarchy. Infrared thermal images were taken behind the neck at the base of the ear of each sow on days 3, 15, 30, 45, 60, 75, 90, and 105 of the experiment. Two electronic sow feeders tracked feeding behavior throughout the gestation period. Heart rate monitors were worn by 10 randomly selected sows per repetition for 1 h prior to and 4 h after reintroduction to group gestation housing to collect heart rate variability (HRV). No differences were found between RQ for any IRT characteristic. Sows within RQ3 and RQ4 had the greatest number of visits to the electronic sow feeders overall (P < 0.04) but spent shorter time per visit in feeders (P < 0.05) than RQ1 and RQ2 sows. There was an interaction of RQ with hour for feed offered (P = 0.0003), with differences between RQ occurring in hour 0, 1, 2, and 8. Higher-ranked sows (RQ1 and RQ2) occupied the feeder for longer during the first hour than lower ranking sows (RQ3 and RQ4; P < 0.04), while RQ3 sows occupied the feeder longer than RQ1 sows during hour 6, 7, and 8 (P < 0.02). Heart beat interval (RR) collected prior to group housing introduction differed between RQ (P < 0.02 for all), with RQ3 sows exhibiting the lowest RR, followed by RQ4, RQ1, and RQ2. Rank quartile also affected standard deviation of RR (P = 0.0043), with RQ4 sows having the lowest, followed by RQ1, RQ3, and RQ2 sows. Overall, these results indicate that feeding behavior and HRV measures may be capable of characterizing social hierarchy in a group housing system.Sows that are housed in groups establish a social hierarchy to gain preferential access to needed resources, such as feed. The establishment and maintenance of this social hierarchy may lead to reduced welfare and performance for certain sows. Therefore, the purpose of this study was to determine whether infrared thermography, feeding behavior, and heart rate variability measurement could identify the social hierarchy. In the future, the ability to automatically detect the social hierarchy within group housed pens using technology may give a producer the ability to mitigate any hierarchy-related welfare and performance issues on their own farm. Our results show that feeding behavior collected by an automated feeding system may be a promising tool for future social hierarchy detection. Additionally, measures related to changes in heart rate over time are capable of identifying high- and low-ranked sows when the measures are collected before sows are moved into groups. Therefore, technologies capable of measuring feeding behavior and changes in heart rate over time may be promising for future automated detection of the sow social hierarchy.

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