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动物育种中的传感器技术综述:对蛋鸡行为进行表型分析以筛选啄羽行为

Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking.

作者信息

Ellen Esther D, van der Sluis Malou, Siegford Janice, Guzhva Oleksiy, Toscano Michael J, Bennewitz Jörn, van der Zande Lisette E, van der Eijk Jerine A J, de Haas Elske N, Norton Tomas, Piette Deborah, Tetens Jens, de Klerk Britt, Visser Bram, Rodenburg T Bas

机构信息

Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, The Netherlands.

Department of Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, 3508 TD Utrecht, The Netherlands.

出版信息

Animals (Basel). 2019 Mar 22;9(3):108. doi: 10.3390/ani9030108.

Abstract

Damaging behaviors, like feather pecking (FP), have large economic and welfare consequences in the commercial laying hen industry. Selective breeding can be used to obtain animals that are less likely to perform damaging behavior on their pen-mates. However, with the growing tendency to keep birds in large groups, identifying specific birds that are performing or receiving FP is difficult. With current developments in sensor technologies, it may now be possible to identify laying hens in large groups that show less FP behavior and select them for breeding. We propose using a combination of sensor technology and genomic methods to identify feather peckers and victims in groups. In this review, we will describe the use of "-omics" approaches to understand FP and give an overview of sensor technologies that can be used for animal monitoring, such as ultra-wideband, radio frequency identification, and computer vision. We will then discuss the identification of indicator traits from both sensor technologies and genomics approaches that can be used to select animals for breeding against damaging behavior.

摘要

诸如啄羽(FP)等有害行为,在商业蛋鸡养殖行业中会造成巨大的经济和福利影响。选择性育种可用于培育出对同笼伙伴实施有害行为可能性较小的动物。然而,随着将鸡群大规模饲养的趋势不断增加,识别正在实施或遭受啄羽行为的特定鸡只变得困难。随着传感器技术的不断发展,现在或许有可能识别出大规模鸡群中表现出较少啄羽行为的蛋鸡,并选择它们进行育种。我们建议结合使用传感器技术和基因组方法来识别群体中的啄羽者和受害者。在这篇综述中,我们将描述使用“组学”方法来理解啄羽行为,并概述可用于动物监测的传感器技术,如超宽带、射频识别和计算机视觉。然后,我们将讨论从传感器技术和基因组学方法中识别指示性状,这些性状可用于选择抗有害行为的育种动物。

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