Trained-user opinion about welfare quality measures and integrated scoring of dairy cattle welfare

Autor: de Graaf, S, Ampe, B., Winckler, C., Radeski, M., Mounier, L., Kirchner, M.K., Haskell, M.J., van Eerdenburg, F J C M, De Boyer Des Roches, A., Andreasen, S.N., Bijttebier, J., Lauwers, L, Verbeke, W., Tuyttens, F.A.M., LS GZ Landbouwhuisdieren, dFAH AVR
Přispěvatelé: Research Institute for Agricultural, Fisheries and Food (ILVO), Department of Agricultural Economic, Faculty of Bioscience Engineering Coupure links, Universiteit Gent = Ghent University [Belgium] (UGENT), Department of Sustainable Agricultural Systems, Division of Livestock Sciences, University Natural Resources et Life Sciences, Faculty of Veterinary Medicine, Animal Welfare Center, University Ss Cyril and Methodius, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Section for Animal Welfare and Disease Control, Department of Veterinary and Animal Sciences [Copenhagen], Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Scotland's Rural College (SRUC), Department of Farm Animal Health, Utrecht University [Utrecht], Institute for Agricultural and Fisheries Research, Ghent University [Belgium] (UGENT), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Scotland's Rural College (SCUR), Ghent University [Belgium] ( UGENT ), Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), Department of Veterinary and Animal Sciences, ‌Section for Animal Welfare and Disease Control, University of Copenhagen, Scotland’s Rural College, Utrecht University, LS GZ Landbouwhuisdieren, dFAH AVR
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2017, 100 (8), pp.6376-6388. ⟨10.3168/jds.2016-12255⟩
Journal of Dairy Science, American Dairy Science Association, 2017, 100 (8), pp.6376-6388. 〈10.3168/jds.2016-12255〉
Journal of Dairy Science, 12(8), 205. Elsevier Limited
ISSN: 0022-0302
DOI: 10.3168/jds.2016-12255⟩
Popis: The Welfare Quality (WQ) protocol for on-farm dairy cattle welfare assessment describes 27 measures and a stepwise method for integrating values for these measures into 11 criteria scores, grouped further into 4 principle scores and finally into an overall welfare categorization with 4 levels. We conducted an online survey to examine whether trained users' opinions of the WQ protocol for dairy cattle correspond with the integrated scores (criteria, principles, and overall categorization) calculated according to the WQ protocol. First, the trained users' scores (n = 8-15) for reliability and validity and their ranking of the importance of all measures for herd welfare were compared with the degree of actual effect of these measures on the WQ integrated scores. Logistic regression was applied to identify the measures that affected the WQ overall welfare categorization into the "not classified" or "enhanced" categories for a database of 491 European herds. The smallest multivariate model maintaining the highest percentage of both sensitivity and specificity for the "enhanced" category contained 6 measures, whereas the model for "not classified" contained 4 measures. Some of the measures that were ranked as least important by trained users (e.g., measures relating to drinkers) had the highest influence on the WQ overall welfare categorization. Conversely, measures rated as most important by the trained users (e.g., lameness and mortality) had a lower effect on the WQ overall category. In addition, trained users were asked to allocate criterion and overall welfare scores to 7 focal herds selected from the database (n = 491 herds). Data on all WQ measures for these focal herds relative to all other herds in the database were provided. The degree to which expert scores corresponded to each other, the systematic difference, and the correspondence between median trained-user opinion and the WQ criterion scores were then tested. The level of correspondence between expert scoring and WQ scoring for 6 of the 12 criteria and for the overall welfare score was low. The WQ scores of the protocol for dairy cattle thus lacked correspondence with trained users on the importance of several welfare measures.
Databáze: OpenAIRE
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