Improvement of the Welfare Quality scoring model for dairy cows to fit experts' opinion.

Animal well-being Cattle Expert opinion Multicriteria evaluation Sensitivity analysis

Journal

Animal : an international journal of animal bioscience
ISSN: 1751-732X
Titre abrégé: Animal
Pays: England
ID NLM: 101303270

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 05 07 2023
revised: 09 10 2023
accepted: 10 10 2023
medline: 27 11 2023
pubmed: 11 11 2023
entrez: 10 11 2023
Statut: ppublish

Résumé

After several years of implementation, the original Welfare Quality scoring model for dairy cows appears to be highly sensitive to the number and cleanliness of drinkers and not enough to the prevalence of diseases, and as a consequence may not fit the opinion of some animal welfare experts. The present paper aims to improve the Welfare Quality calculations for the criteria 'Absence of prolonged thirst' and 'Absence of disease' in dairy cows, so that the results are more sensitive to input data and better fit experts' opinion. First, we modified the calculation of 'Absence of prolonged thirst' by linearising the calculation for drinkers' availability to avoid threshold effects. Second, we modified the calculation of 'Absence of disease' by applying a Choquet integral on the three lowest spline-based scores for each health disorder to limit compensation between health disorders. Third, we performed a global sensitivity analysis of the original and the alternative scoring models. Fourth, we compared the results obtained with the original and the alternative models with eight experts' opinions on two subsets composed of 44 and 60 farms, respectively, inspected using the Welfare Quality protocol and on which experts gave their opinion on the overall level of animal welfare. Results show that the alternative model significantly reduced the 'threshold effects' related to the number of drinkers and the compensation between health disorders. On the first subset, the alternative model fits the experts' opinion slightly better than the original model (P = 0.061). On the second subset, the models performed equally. In conclusion, the proposed refinements for calculating scores are validated since they significantly reduced 'threshold effects' and the influence of measures related to drinkers. It also reduced the compensation between health disorders by considering only the three lowest scores and thus increasing the influence of measures related to health disorders, and slightly improve at overall score level the accordance with experts' opinion.

Identifiants

pubmed: 37948890
pii: S1751-7311(23)00335-X
doi: 10.1016/j.animal.2023.101018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101018

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

R Lardy (R)

Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France. Electronic address: romain.lardy@inrae.fr.

R Botreau (R)

Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France.

A de Boyer des Roches (A)

Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France.

F J C M van Eerdenburg (FJCM)

Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, 3584 CL Utrecht, The Netherlands.

S de Graaf (S)

Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Burgemeester van Gansberghelaan 92, 9820 Merelbeke, Belgium.

M J Haskell (MJ)

SRUC, West Mains Road, Edinburgh EH9 3JG, UK.

M K Kirchner (MK)

FOUR PAWS International, Linke Wienzeile 236, 1150 Vienna, Austria.

L Mounier (L)

Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France.

M Kjosevski (M)

Animal Welfare Center, Faculty of Veterinary Medicine, Ss Cyril and Methodius University in Skopje, Lazar Pop-Trajkov 5-7, 1000 Skopje, Republic of Macedonia.

F A M Tuyttens (FAM)

Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Burgemeester van Gansberghelaan 92, 9820 Merelbeke, Belgium; Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, 9820 Merelbeke, Belgium.

I Veissier (I)

Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France.

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Classifications MeSH