Associations between Gastrointestinal Nematode Infection Burden and Lying Behaviour as Measured by Accelerometers in Periparturient Ewes.

accelerometers gastrointestinal nematodes lying behaviour periparturient ewes precision livestock farming sheep

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:
13 Sep 2022
Historique:
received: 22 07 2022
revised: 25 08 2022
accepted: 12 09 2022
entrez: 23 9 2022
pubmed: 24 9 2022
medline: 24 9 2022
Statut: epublish

Résumé

The application of precision livestock farming (PLF) technologies will underpin new strategies to support the control of livestock disease. However, PLF technology is underexploited within the sheep industry compared to other livestock sectors, and research is essential to identify opportunities for PLF applications. These opportunities include the control of endemic sheep disease such as parasitic gastroenteritis, caused by gastrointestinal nematode infections, which is estimated to cost the European sheep industry EUR 120 million annually. In this study, tri-axial accelerometers recorded the behaviour of 54 periparturient Welsh Mule ewes to discover if gastrointestinal nematode (GIN) infection burden, as measured by faecal egg count (FEC), was associated with behavioural variation. Linear mixed models identified that increasing FECs in periparturient ewes were significantly associated with a greater number of lying bouts per day and lower bout durations (

Identifiants

pubmed: 36139252
pii: ani12182393
doi: 10.3390/ani12182393
pmc: PMC9495098
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Higher Education Funding Council for Wales
ID : Enhancing HE-FE Collaboration in Innovation and Engagement Activity 2017-18
Organisme : KESS2
ID : n/a

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Eiry Gwenllian Williams (EG)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Chelsea N Davis (CN)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Manod Williams (M)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Dewi Llyr Jones (DL)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

David Cutress (D)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Hefin Wyn Williams (HW)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Peter M Brophy (PM)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Michael T Rose (MT)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.
Tasmanian Institute of Agriculture, University of Tasmania, Sandy Bay, TAS 7005, Australia.

Rebekah B Stuart (RB)

Hybu Cig Cymru, Aberystwyth SY23 3FF, UK.

Rhys Aled Jones (RA)

Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK.

Classifications MeSH