Lutz, Barbara; Zwygart, Sibylle; Rufener, Christina; Burla, Joan-Bryce; Thomann, Beat; Stucki, Dimitri Yves (2021). Data-Based Variables Used as Indicators of Dairy Cow Welfare at Farm Level: A Review. Animals, 11(12), p. 3458. MDPI 10.3390/ani11123458
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LutzEtAl_DatabasedVariablesAsIndicatorsOfDairyCowWelfare_Review.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (167kB) | Preview |
During the last years, the interest in data-based variables (DBVs) as easy-to-obtain, costeffective
animal welfare indicators has continued to grow. This interest has led to publications
focusing on the relationship between DBVs and animal welfare. This review compiles 13 papers
identified through a systematic literature search to provide an overview of the current state of
research on the relationship between DBVs and dairy cow welfare at farm level. The selected
papers were examined regarding their definition of animal welfare and classified according to this
definition into three categories: (a) papers evaluating DBVs as predictors of animal welfare violations, (b) papers investigating the relationship between DBVs and animal-based measurements, and (c) papers investigating the relationship of DBVs to scores of welfare assessments like the Welfare Quality protocol or to overall welfare scores at farm level. In addition, associations between DBVs and indicators of animal welfare were extracted, grouped by the type of DBV, and examined for replications that may confirm the associations. All the identified studies demonstrated associations between DBVs and animal welfare. Overall, the first indications of a possible suitability of DBVs for predicting herds with animal welfare violations as well as good or poor animal welfare status were given. The evaluation of relationships between DBVs and animal-based measurements (ABMs) found mortality-based DBVs to be frequently associated with ABMs. However, owing to varying definitions of animal welfare, the use of different variants of DBVs, and different methods used to assess DBVs, the studies could only be compared to a limited extent. Future research would benefit from a harmonisation of DBVs and the use of valid measurements that reflect the multidimensionality of welfare. Data sources rarely investigated so far may have the potential to provide additional DBVs that can contribute to the monitoring of cow welfare at farm level.
Item Type: |
Journal Article (Review Article) |
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Division/Institute: |
05 Veterinary Medicine > Department of Clinical Veterinary Medicine (DKV) 05 Veterinary Medicine > Department of Clinical Veterinary Medicine (DKV) > Clinic for Ruminants 05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Veterinary Public Health Institute |
UniBE Contributor: |
Lutz, Barbara, Zwygart, Sibylle, Thomann, Beat Stefan, Stucki, Dimitri Yves |
Subjects: |
500 Science > 590 Animals (Zoology) 600 Technology > 610 Medicine & health 600 Technology > 630 Agriculture |
ISSN: |
2076-2615 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Nathalie Viviane Zollinger |
Date Deposited: |
23 Dec 2021 10:35 |
Last Modified: |
05 Dec 2022 15:59 |
Publisher DOI: |
10.3390/ani11123458 |
BORIS DOI: |
10.48350/163048 |
URI: |
https://boris.unibe.ch/id/eprint/163048 |