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

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

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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.

Item Type:

Journal Article (Review Article)

Division/Institute:

05 Veterinary Medicine > Research Foci > Veterinary Public Health / Herd Health Management
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Veterinary Public Health Institute > Animal Welfare Division
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Veterinary Public Health Institute

UniBE Contributor:

Toscano, Michael Jeffrey

Subjects:

500 Science > 590 Animals (Zoology)

ISSN:

2076-2615

Publisher:

MDPI

Language:

English

Submitter:

Lilian Karin Smith-Wirth

Date Deposited:

15 Nov 2019 10:08

Last Modified:

15 Nov 2019 10:08

Publisher DOI:

10.3390/ani9030108

PubMed ID:

30909407

BORIS DOI:

10.7892/boris.135068

URI:

https://boris.unibe.ch/id/eprint/135068

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