Could posture reflect welfare state? A study using geometric morphometrics in riding school horses.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 22 02 2018
accepted: 23 01 2019
entrez: 6 2 2019
pubmed: 6 2 2019
medline: 7 11 2019
Statut: epublish

Résumé

Despite the fact that animal posture is known to reflect emotional state, the presence of chronic postures associated with poor welfare has not been investigated with an objective tool for measuring, quantifying and comparing postures. The use of morphometric geometrics (GM) to describe horse posture (profile of the dorsum) has shown to be an effective method of distinguishing populations that are known to differ in terms of welfare states. Here we investigated photographs of 85 riding school horses differing in terms of welfare state, in order to determine if a specific posture (modelled by GM) is associated with altered welfare. The welfare state was estimated with the prevalence of stereotypic or abnormal repetitive behaviours, depressed-like posture and the ear positions. ANOVA results show that horses with stereotypic or abnormal behaviour, and to a lesser degree horses with depressed-like postures, tend to have a flatter, or even hollow, dorsal profile, especially at the neck and croup levels. These altered profiles could represent an additional indicator of poor welfare, easy to use in the field or by owners.

Identifiants

pubmed: 30721258
doi: 10.1371/journal.pone.0211852
pii: PONE-D-18-05066
pmc: PMC6363216
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0211852

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Emilie Sénèque (E)

Université de Rennes, UMR 6552 CNRS Ethologie Animale et Humaine,CNRS, Université de Caen-Normandie, Rennes, France.

Clémence Lesimple (C)

Université de Rennes, UMR 6552 CNRS Ethologie Animale et Humaine,CNRS, Université de Caen-Normandie, Rennes, France.

Stéphane Morisset (S)

Independent biostatistician, France.

Martine Hausberger (M)

CNRS, UMR 6552 Ethologie animale et humaine, Université de Rennes, Université de Caen-Normandie, Caen, France.

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