Social influence on the effectiveness of virtual fencing in sheep.

Sheep behaviour Sheep management Sheep welfare Virtual fencing

Journal

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

Informations de publication

Date de publication:
2020
Historique:
received: 07 05 2020
accepted: 08 09 2020
entrez: 16 10 2020
pubmed: 17 10 2020
medline: 17 10 2020
Statut: epublish

Résumé

Early virtual fencing trials have effectively contained small groups of sheep within set areas of a paddock when all animals were wearing manual electronic collars. With sheep farming commonly involving large flocks, a potential cost-effective application of virtual fencing would involve applying equipment to only a proportion of the flock. In this study, we tested the ability of virtual fencing to control a small flock of sheep with differing proportions of the group exposed to the virtual fence (VF). Thirty-six Merino sheep were identified as leaders, middle or followers by moving them through a laneway. The sheep were then allocated to groups balanced for order of movement. The groups (

Identifiants

pubmed: 33062448
doi: 10.7717/peerj.10066
pii: 10066
pmc: PMC7532778
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e10066

Informations de copyright

©2020 Marini et al.

Déclaration de conflit d'intérêts

The authors declare there are no competing interests.

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Auteurs

Danila Marini (D)

School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia.
Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Armidale, New South Wales, Australia.

Tellisa Kearton (T)

School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia.
Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Armidale, New South Wales, Australia.

Jackie Ouzman (J)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia, Australia.

Rick Llewellyn (R)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia, Australia.

Sue Belson (S)

Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Armidale, New South Wales, Australia.

Caroline Lee (C)

School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia.
Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Armidale, New South Wales, Australia.

Classifications MeSH