A new approach and insights on modelling the impact of production diseases on dairy cow welfare.
Autor: | Edwardes F; Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands. Electronic address: franco.edwardes@gmail.com., van der Voort M; Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands., Rodenburg TB; Adaptation Physiology Group, Wageningen University, P.O. Box 338, 6700 AH Wageningen, The Netherlands; Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, P.O. Box 80.166, 3508 TD Utrecht, The Netherlands., Hogeveen H; Business Economics Group, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands. |
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Jazyk: | angličtina |
Zdroj: | Animal : an international journal of animal bioscience [Animal] 2024 Apr; Vol. 18 (4), pp. 101056. Date of Electronic Publication: 2023 Dec 14. |
DOI: | 10.1016/j.animal.2023.101056 |
Abstrakt: | Animal welfare is becoming an important consideration in animal health-related decision-making. Integrating considerations of animal welfare into the decision-making process of farmers involves recognising the significance of health disorder impacts in relation to animal welfare. Yet little research quantifies the impact, making it difficult to include animal welfare in the animal health decision-making process. Quantifying the impact of health disorders on animal welfare is incredibly challenging due to empirical animal-based data collection constraints. An approach to circumvent these constraints is to rely on expert knowledge whereby perceived welfare impairment weights are indicative of the negative welfare effect. In this research, we propose an expertise-based method to quantify the perceived impact of sub-optimal mobility (SOM) on the welfare of dairy cows, because of its welfare importance. We first quantified perceived welfare impairment weights of SOM by eliciting expert knowledge using adaptive conjoint analysis (ACA). Second, using the perceived welfare impairment weights, we derived the perceived welfare disutility (i.e., perceived negative welfare effect) of mobility scores 1-5 (1 = optimal mobility, 5 = severely impaired mobility). Third, using the perceived welfare disutility per mobility score, we quantified the perceived welfare impact at case- and herd-level of SOM for different SOM severity. Results showed that perceived welfare disutility increased with each increase in mobility score. However, the perceived welfare impact of SOM cases with lower mobility scores was higher compared to SOM cases with higher mobility scores. This was because of the longer-lasting duration of the SOM cases with lower mobility scores. Moreover, the perceived herd-level welfare impact was largely due to SOM cases with lower mobility scores because of the longer duration and more frequent incidence compared to the SOM cases with higher mobility scores. These results entail that better welfare of dairy cows with respect to SOM can be achieved if lower mobility scores are detected and treated sooner. Our research demonstrates a novel approach that quantifies the perceived impact of health disorders on animal welfare when empirical evidence is limited. (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.) |
Databáze: | MEDLINE |
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