Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Trained-user opinion about Welfare Quality® measures and integrated scoring of dairy cattle welfare
The Welfare Quality® (WQ) protocol for on-farm dairy cattle welfare assessment describes 27 measures and a step-wise method to integrate values for these measures into 12 criteria scores, grouped further into four principle scores and finally into an overall welfare categorization with four 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, validity and their ranking of the importance of all measures for herd welfare were compared to the degree of actual impact 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 whilst maintaining the highest % of both sensitivity and specificity for the ‘enhanced’ category contained six measures, the model for not-classified contained four 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 impact on the WQ overall category. In addition, trained users were asked to allocate ‘criterion’ and ‘overall’ welfare scores to seven 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 vs. WQ scoring for 6 of the 12 criteria and ...
Trained-user opinion about Welfare Quality® measures and integrated scoring of dairy cattle welfare
The Welfare Quality® (WQ) protocol for on-farm dairy cattle welfare assessment describes 27 measures and a step-wise method to integrate values for these measures into 12 criteria scores, grouped further into four principle scores and finally into an overall welfare categorization with four 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, validity and their ranking of the importance of all measures for herd welfare were compared to the degree of actual impact 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 whilst maintaining the highest % of both sensitivity and specificity for the ‘enhanced’ category contained six measures, the model for not-classified contained four 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 impact on the WQ overall category. In addition, trained users were asked to allocate ‘criterion’ and ‘overall’ welfare scores to seven 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 vs. WQ scoring for 6 of the 12 criteria and ...
Trained-user opinion about Welfare Quality® measures and integrated scoring of dairy cattle welfare
de Graaf, S (Autor:in) / Ampe, B (Autor:in) / Winckler, C (Autor:in) / Radeski, M (Autor:in) / Mounier, L (Autor:in) / Kirchner, MK (Autor:in) / Haskell, MJ (Autor:in) / van Eerdenburg, FJCM (Autor:in) / Boyer des Roches, A (Autor:in) / Andreasen, SN (Autor:in)
29.05.2017
de Graaf , S , Ampe , B , Winckler , C , Radeski , M , Mounier , L , Kirchner , MK , Haskell , MJ , van Eerdenburg , FJCM , Boyer des Roches , A , Andreasen , SN , Bijttebier , J , Lauwers , L , Verbeke , W & Tuyttens , FAM 2017 , ' Trained-user opinion about Welfare Quality® measures and integrated scoring of dairy cattle welfare ' , Journal of Dairy Science , vol. 100 , no. 8 , pp. 6376 - 6388 . https://doi.org/10.3168/jds.2016-12255
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
710
Effects of animal welfare measures on milk sheep and goat quality and dairy production in Sardinia
| BASE | 2017
Forget about regeneration, forget about welfare?
| British Library Online Contents | 2010
Scientific Opinion on the use of animal-based measures to assess welfare in pigs
| BASE | 2012
Opinion Survey of Wisconsin Dairy professionals about Milk Quality
| Online Contents | 2004
I·hospital & welfare : hospital, welfare, childcare
| TIBKAT | 2018