Validation of a Radio frequency identification system for tracking location of laying hens in a quasi-commercial aviary system

Sabine G. Gebhardt-Henrich, Alexander Kashev, Matthew B. Petelle, Michael J. Toscano
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Abstract

Cage-free housing is increasingly chosen in Europe, North America, and Australia as an animal-welfare friendly farm system for laying hens. However, hens are kept in large numbers in those systems which makes checking for health and welfare difficult and individuals cannot be identified. Tracking systems like radio frequency identification allow researchers to monitor these individuals almost continuously. Individual tracking data has revealed substantial individual variation in movement patterns, however, in recent studies, only a subset of animals per flock was tracked. We applied an RFID tracking system to monitor all 1125 laying hens of a flock, which were divided into 5 pens of 225 birds each in a barn with an aviary system. In each pen, 26 antennas were placed on the edges of three tiers and in the litter. For validation purposes, 3 hens in 2 connected pens were fitted with colored backpacks. They were recorded on video and their location throughout the pen was taken from the video and compared with registrations from the RFID system. For 93% of compared transitions, the RFID data matched the observational data regarding the tier or litter whereas the value fell to 39% for specific antennae. When the antennae on the litter were excluded for the validation, the match on tier-level was at least 98% but on antenna-level it remained lower than 50%. The sensitivity of the detection of tiers/litter but not antennae differed among the three hens. We conclude that the RFID tracking system was suitable for studying the movement pattern of individual hens among tiers in an aviary system in a reliable way but tracking birds on the litter needs to be improved.
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准商业鸡舍系统中用于跟踪蛋鸡位置的射频识别系统的验证
在欧洲、北美和澳大利亚,越来越多地选择无笼饲养作为一种动物福利友好型蛋鸡农场系统。然而,在这些系统中,母鸡被大量饲养,这使得检查健康和福利变得困难,而且无法识别个体。像射频识别这样的跟踪系统可以让研究人员几乎不间断地监控这些个体。个体跟踪数据揭示了运动模式的巨大个体差异,然而,在最近的研究中,每群动物只有一小部分被跟踪。我们应用射频识别跟踪系统监测了一群1125只蛋鸡,这些蛋鸡被分成5个圈,每圈225只鸡,在一个有鸟舍系统的谷仓里。在每个围栏中,26根天线被放置在三层的边缘和垃圾中。为了验证目的,在两个相连的猪圈中,给3只母鸡配备了彩色背包。他们被记录在视频中,他们在整个笔中的位置被从视频中提取出来,并与RFID系统的注册进行比较。对于93%的比较转换,RFID数据与有关层或垃圾的观测数据相匹配,而对于特定天线,该值下降到39%。当排除窝仔上的天线进行验证时,在层水平上的匹配度至少为98%,但在天线水平上的匹配度仍低于50%。3只母鸡对产蛋/产仔的敏感度存在差异,但对触角的敏感度不存在差异。研究结果表明,RFID跟踪系统适用于研究鸡舍系统中母鸡个体在各层之间的运动模式,可靠性较高,但对窝中母鸡的跟踪还有待改进。
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