Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking.
-omics
computer vision
damaging behavior
genetic selection
identification
measuring behavior
radio frequency identification
ultra-wideband
Journal
Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614
Informations de publication
Date de publication:
22 Mar 2019
22 Mar 2019
Historique:
received:
28
02
2019
revised:
15
03
2019
accepted:
18
03
2019
entrez:
27
3
2019
pubmed:
27
3
2019
medline:
27
3
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 30909407
pii: ani9030108
doi: 10.3390/ani9030108
pmc: PMC6466287
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : European Cooperation in Science and Technology
ID : CA 15134 GroupHouseNet
Organisme : Ministerie van Economische Zaken
ID : TKI-AF12018
Organisme : National Institute of Food and Agriculture
ID : 1002990
Organisme : National Institute of Food and Agriculture
ID : 1010765
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