Optimising the selection of welfare indicators in farm animals

The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. The enhanced algorithm is data-agnostic and enables users to optimise indicator selection with diverse datasets spanning research, industry, and policy contexts. Its flexibility supports the development of tailored applications for different stakeholders. Future work should explore processes to determine weighting values, scenario testing, robustness, and stakeholder engagement to maximise both relevance and practicality.

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Publication Details

Journal
Frontiers in Veterinary Science
Published
2025-10-28
DOI
https://doi.org/10.3389/fvets.2025.1661470
Citations
1
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
2.35
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article

Optimising the selection of welfare indicators in farm animals

Guro Vasdal, J. E. L. Day, Heleen van de Weerd, Mohamed Ben Haddou et al.
1 citations
Frontiers in Veterinary Science
Animal Behavior and Welfare Studies
2.35
article

Optimising the selection of welfare indicators in farm animals

Guro Vasdal, J. E. L. Day, Heleen van de Weerd, Mohamed Ben Haddou, Rita Kylling
article en
1 citations

Abstract

The enhanced algorithm was able to move beyond the selection of iceberg indicators, by incorporating multiple selection criteria to inform welfare indicator choice. The enhanced algorithm is data-agnostic and enables users to optimise indicator selection with diverse datasets spanning research, industry, and policy contexts. Its flexibility supports the development of tailored applications for different stakeholders. Future work should explore processes to determine weighting values, scenario testing, robustness, and stakeholder engagement to maximise both relevance and practicality.

Frontiers in Veterinary ScienceVol. 12
University of Chichester (GB), Brain Physiology Lab (FR), EAT (NO), Centre hospitalier Etterbeek-Ixelles (BE), Animalia (Norway) (NO)
Openalex Percentile: Top 10%
Animal Behavior and Welfare Studies
2.35
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