Associating cow characteristics with mobility scores in pasture-based dairy cows.


Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 19 09 2018
accepted: 23 04 2019
pubmed: 16 7 2019
medline: 7 11 2019
entrez: 15 7 2019
Statut: ppublish

Résumé

The quality of dairy cow mobility can have significant welfare, economic, and environmental consequences that have yet to be extensively quantified for pasture-based systems. The objective of this study was to characterize mobility quality by examining associations between specific mobility scores, claw disorders (both the type and severity), body condition score (BCS), and cow parity. Data were collected for 6,927 cows from 52 pasture-based dairy herds, including mobility score (0 = optimal mobility; 1, 2, or 3 = increasing severities of suboptimal mobility), claw disorder type and severity, BCS, and cow parity. Multinomial logistic regression was used for analysis. The outcome variable was mobility score, and the predictor variables were BCS, type and severity of claw disorders, and cow parity. Three models were run, each with 1 reference category (mobility score 0, 1, or 2). Each model also included claw disorders (overgrown claw, sole hemorrhage, white line disease, sole ulcer, and digital dermatitis), BCS, and cow parity as predictor variables. The presence of most types of claw disorders had odds ratios >1, indicating an increased likelihood of a cow having suboptimal mobility. Low BCS (BCS <3.00) was associated with an increased risk of a cow having suboptimal mobility, and relatively higher parity was also associated with an increased risk of suboptimal mobility. These results confirm an association between claw disorders, BCS, cow parity, and dairy cow mobility score. Therefore, mobility score should be routinely practiced to identify cows with slight deviations from the optimal mobility pattern and to take preventive measures to keep the problem from worsening.

Identifiants

pubmed: 31301835
pii: S0022-0302(19)30581-8
doi: 10.3168/jds.2018-15719
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8332-8342

Informations de copyright

Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

A H O'Connor (AH)

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996; Animal Production Systems Group, Department of Animal Sciences, Wageningen University and Research, 6700 AH, Wageningen, the Netherlands. Electronic address: aisling.oconnor@teagasc.ie.

E A M Bokkers (EAM)

Animal Production Systems Group, Department of Animal Sciences, Wageningen University and Research, 6700 AH, Wageningen, the Netherlands.

I J M de Boer (IJM)

Animal Production Systems Group, Department of Animal Sciences, Wageningen University and Research, 6700 AH, Wageningen, the Netherlands.

H Hogeveen (H)

Business Economics Group, Department of Social Sciences, Wageningen University and Research, 6700 EW, Wageningen, the Netherlands.

R Sayers (R)

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996.

N Byrne (N)

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996.

E Ruelle (E)

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996.

L Shalloo (L)

Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland P61 C996.

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Classifications MeSH