An attention bias test to assess anxiety states in laying hens.

Affective state Anxiety Anxiogenic drug Cognitive bias Fear Threat perception Vigilance m-CPP

Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2019
Historique:
received: 30 01 2019
accepted: 17 06 2019
entrez: 24 7 2019
pubmed: 25 7 2019
medline: 25 7 2019
Statut: epublish

Résumé

Fear is a response to a known threat, anxiety is a response to a perceived threat. Both of these affective states can be detrimental to animal welfare in modern housing environments. In comparison to the well-validated tests for assessing fear in laying hens, tests for measuring anxiety are less developed. Perception of a threat can result in an attention bias that may indicate anxious affective states in individual hens following playback of an alarm call. In Experiment 1, an attention bias test was applied to hens that differed in their range access to show that hens that never ranged were more vigilant (stretching of the neck and looking around:

Identifiants

pubmed: 31333910
doi: 10.7717/peerj.7303
pii: 7303
pmc: PMC6626526
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e7303

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

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Auteurs

Dana L M Campbell (DLM)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Armidale, NSW, Australia.
School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.

Peta S Taylor (PS)

School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.

Carlos E Hernandez (CE)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Armidale, NSW, Australia.
School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Mairi Stewart (M)

AgResearch, Ruakura Research Centre, Hamilton, New Zealand.

Sue Belson (S)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Armidale, NSW, Australia.

Caroline Lee (C)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Armidale, NSW, Australia.
School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.

Classifications MeSH