4.7 Review

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

期刊

ANIMALS
卷 9, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/ani9030108

关键词

damaging behavior; ultra-wideband; radio frequency identification; computer vision; identification; measuring behavior; -omics; genetic selection

资金

  1. European Cooperation in Science and Technology (COST) [CA 15134]
  2. Dutch Ministry of Economic Affairs [TKI-AF12018]
  3. Breed4Food partner Cobb-Europe
  4. Breed4Food partner CRV
  5. Breed4Food partner Hendrix Genetics
  6. Breed4Food partner TopigsNorsvin
  7. Dutch Ministry of Economic Affairs (TKI Agri Food project) [16022]
  8. Breed4Food partner Cobb Europe
  9. Breed4Food partner Topigs Norsvin
  10. National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch projects [1002990, 1010765]

向作者/读者索取更多资源

Simple Summary The European Cooperation in Science and Technology (COST) Action GroupHouseNet aims to provide synergy among scientists to prevent damaging behavior in group-housed pigs and laying hens. One goal of this network is to determine how genetic and genomic tools can be used to breed animals that are less likely to perform damaging behavior on their pen-mates. In this review, the focus is on feather-pecking behavior in laying hens. Reducing feather pecking in large groups of hens is a challenge, because it is difficult to identify and monitor individual birds. However, current developments in sensor technologies and animal breeding have the potential to identify individual animals, monitor individual behavior, and link this information back to the underlying genotype. We describe a combination of sensor technologies and -omics approaches that could be used to select against feather-pecking behavior in laying hens. 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.

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