ArticleAnimals : an open access journal from MDPI2022
The ClassyFarm System in Tuscan Beef Cattle Farms and the Association between Animal Welfare Level and Productive Performance.
Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Biosecurity governance and on-farm implementation in the European livestock sector: regulatory heterogeneity, assessment tools and evidence gaps - A scoping review.One health (Amsterdam, Netherlands) · 2026Review
- Regulation of Antibiotic Use in Livestock: European and International Strategies to Prevent and Control Antimicrobial Resistance and Ensure Animal Welfare.Antibiotics (Basel, Switzerland) · 2026Review
- ClassyFarm and welfare indicators in dairy cattle farming.Journal of advanced veterinary and animal research · 2026Article
- Effectiveness of Targeted Advisory Interventions in Enhancing Welfare on Dairy Farms.Animals : an open access journal from MDPI · 2025Article
- Developing an Ostrich Welfare Assessment Protocol (OWAP) in Intensive and Semi-Intensive Systems.Veterinary sciences · 2025Article
- A Survey on Biosecurity and Animal Welfare in Twenty-Five Beef Cattle Farms in the Marche Region, Central Italy: Application of the ClassyFarm Checklists.Animals : an open access journal from MDPI · 2025Article
- Behaviour Indicators of Animal Welfare in Purebred and Crossbred Yearling Beef Reared in Optimal Environmental Conditions.Animals : an open access journal from MDPI · 2024Article
- Study of the Feasibility of Proposed Measures to Assess Animal Welfare for Zebu Beef Farms within Pasture-Based Systems under Tropical Conditions.Animals : an open access journal from MDPI · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
In 2018, the Italian Ministry of Health introduced the ClassyFarm system in order to categorize the level of risk related to animal welfare. The ClassyFarm checklist for beef cattle is divided into four areas: Areas A "Farm management and personnel"; B "Structures and equipment"; C "Animal-based measures"; and "Emergency plan and alert system". Answers contribute to the final Animal Welfare Score (AWS) and to the score of each area. The aim of this work was to assess the animal welfare level on 10 Tuscan beef cattle farms through the ClassyFarm checklist and to examine the relationship between the level of animal welfare on final weight (FW), carcass weight (CW), weight gain (WG), and average daily gain (ADG). The AWS was divided into four classes, and the scores for each area were divided into three classes. The analysis of variance was applied, and AWS class, sex, and breeding techniques (open and closed cycle) were included in the model. The AWS class and sex had a highly significant influence on all parameters, while the breeding technique did not significantly influence any parameter. Farms classified as excellent presented a higher FW (677.9 kg) than those classified as good and insufficient, and the same trend was found for the ADG. The classes obtained in Areas A and C had a highly significant influence on all the parameters investigated. The classes obtained in Area B significantly influenced FW and WG. In conclusion, the productive response of the animals seemed to benefit from the welfare conditions.
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Registered trials
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