ArticleScientific reports2021
A systematic approach to analyse the impact of farm-profiles on bovine health.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Investigating the use of machine learning algorithms to support risk-based animal welfare inspections of cattle and pig farms.Frontiers in veterinary science · 2024Article
- [Comparison of production data and reasons for culling in Hinterwald, Vorderwald, Fleckvieh and Holstein cows from 1953 to 2021].Tierarztliche Praxis. Ausgabe G, Grosstiere/Nutztiere · 2023Article
- A cross-sectional study of the prevalence of lameness and digital dermatitis in dairy cattle herds in Egypt.BMC veterinary research · 2023Article
- The Combined Use of Automated Milking System and Sensor Data to Improve Detection of Mild Lameness in Dairy Cattle.Animals : an open access journal from MDPI · 2023Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study we present systematic framework to analyse the impact of farm profiles as combinations of environmental conditions and management practices on common diseases in dairy cattle. The data used for this secondary data analysis includes observational data from 166 farms with a total of 5828 dairy cows. Each farm is characterised by features from five categories: husbandry, feeding, environmental conditions, housing, and milking systems. We combine dimension reduction with clustering techniques to identify groups of similar farm attributes, which we refer to as farm profiles. A statistical analysis of the farm profiles and their related disease risks is carried out to study the associations between disease risk, farm membership to a specific cluster as well as variables that characterise a given cluster by means of a multivariate regression model. The disease risks of five different farm profiles arise as the result of complex interactions between environmental conditions and farm management practices. We confirm previously documented relationships between diseases, feeding and husbandry. Furthermore, novel associations between housing and milking systems and specific disorders like lameness and ketosis have been discovered. Our approach contributes to paving a way towards a more holistic and data-driven understanding of bovine health and its risk factors.
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