Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking
Autor: | Lisette E. van der Zande, T. Bas Rodenburg, Oleksiy Guzhva, Tomas Norton, Malou van der Sluis, Elske N. de Haas, Joern Bennewitz, Britt de Klerk, Michael J. Toscano, Jens Tetens, Bram Visser, Esther D. Ellen, Jerine A.J. van der Eijk, Deborah Piette, Janice M. Siegford |
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Přispěvatelé: | Animal Welfare, dASS BW-2 |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Identification
Animal breeding Computer science omics Genetic selection Review Selective breeding Animal monitoring 03 medical and health sciences Behavioral Ecology Animal welfare lcsh:Zoology Measuring behavior Ultra-wideband lcsh:QL1-991 Fokkerij & Genomica Adaptatiefysiologie 030304 developmental biology 0303 health sciences Feather pecking lcsh:Veterinary medicine General Veterinary 0402 animal and dairy science 04 agricultural and veterinary sciences Radio frequency identification 040201 dairy & animal science Gedragsecologie Risk analysis (engineering) Damaging behavior WIAS lcsh:SF600-1100 Adaptation Physiology 590 Animals (Zoology) Animal Science and Zoology Identification (biology) Computer vision Animal Breeding & Genomics |
Zdroj: | Animals, 9(3) Animals, 9(3). Multidisciplinary Digital Publishing Institute (MDPI) Animals 9 (2019) 3 Animals : an Open Access Journal from MDPI Animals, Vol 9, Iss 3, p 108 (2019) Ellen, Esther; van der Sluis, Malou; Siegford, Janice; Guzhva, Oleksiy; Toscano, Michael J.; Bennewitz, Jörn; van der Zande, Lisette; van der Eijk, Jerine; de Haas, Elske; Norton, Tomas; Piette, Deborah; Tetens, Jens; de Klerk, Britt; Visser, Bram; Rodenburg, T. (2019). Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking. Animals, 9(3), p. 108. MDPI 10.3390/ani9030108 |
ISSN: | 2076-2615 |
DOI: | 10.7892/boris.135068 |
Popis: | 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. 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. |
Databáze: | OpenAIRE |
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