ArticleFrontiers in veterinary science2022
The relationship between common data-based indicators and the welfare of Swiss dairy herds.
Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Milk Biomarkers and Herd Welfare Status in Dairy Cattle: A Machine Learning Approach.Veterinary sciences · 2025Article
- Literature review of the use of Qualitative Behaviour Assessment with a fixed list of terms.Frontiers in veterinary science · 2025Review
- Evaluation of candidate data-based welfare indicators for veal calves in Switzerland.Frontiers in veterinary science · 2024Article
- Investigating the use of machine learning algorithms to support risk-based animal welfare inspections of cattle and pig farms.Frontiers in veterinary science · 2024Article
- Development of a data-driven method for assessing health and welfare in the most common livestock species in Switzerland: The Smart Animal Health project.Frontiers in veterinary science · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The assessment of dairy cow welfare has become increasingly important in recent years. Welfare assessments that use animal-based indicators, which are considered the most direct indicators, are time consuming and therefore not feasible for assessments on a large number of farms. One approach to reducing this effort is the use of data-based indicators (DBIs) calculated from routine herd data. The aim of this study was to explore the relationship between common DBIs and the welfare of 35 dairy herds to evaluate the feasibility of a data-based welfare prediction method. For this purpose, the WelfareQuality
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