Musculoskeletal Disorders in Farm Animals: Lameness, Welfare, and Productivity

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Welfare".

Deadline for manuscript submissions: 15 March 2026 | Viewed by 815

Special Issue Editor


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Guest Editor
School of Veterinary Science, University of Liverpool, Liverpool L69 7ZJ, UK
Interests: animal welfare; lameness; cattle; sheep; risk factors; control; prevention

Special Issue Information

Dear Colleagues,

Over the past thirty years, the general public, livestock farmers, veterinary surgeons, and researchers have become much more aware of lameness in cattle and sheep. Not only is the compromised welfare of lame animals an ethical issue, but their poor health and lowered productivity are a threat to sustainable livestock farming worldwide. Whilst more intensive farming practices have been blamed for a higher prevalence of lameness generally, they cannot be blamed where cattle and sheep are managed extensively, yet lameness at a herd and flock level still adversely impacts animal welfare and production. At the same time, the extent of research into the subject has expanded greatly: epidemiological studies have identified more precisely significant risk factors for farms and the economic costs related to lameness; biomechanical research has identified associations between the anatomy of the foot, husbandry, and physical pressure applied to the laminae that create pathological changes within the foot; and microbiological science has identified some potential pathogens associated with infectious causes of lameness, which may be a foundation for preventing such diseases. Meanwhile, there are many unregulated on-farm technicians who trim cows' and sheep’s feet in a bid to reduce the incidence of lameness so that the standards laid down for farm quality assurance schemes can be met upon annual farm inspection.

The widespread use of antibiotics to treat infectious lameness is being challenged, while the direct involvement of veterinary surgeons to control livestock disease on farms is falling. Hence, there is a need in the current economic and political climate to reassess the impact of lameness occurring in ruminants and indicate where future research efforts should be directed. As demand on the human food chain increases worldwide and the inevitable consequences of climate change become more obvious, the pressures on livestock farmers to provide more beef, lamb, and milk in a more sustainable way will increase inexorably. We need to know how to move forward at all levels in the food production industry—especially with cattle and sheep.

The treatment of orthopaedic cases in farmed livestock has also progressed, especially bone fractures in both adult and young stock. However, little evidence has been published on the cost-effectiveness for the farmer of any significant improvements in surgical techniques to treat bone fractures, whether within university clinics/hospitals as referral cases or in general veterinary farm animal practice.

Dr. Richard Murray
Guest Editor

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Keywords

  • animal welfare
  • lameness
  • cattle
  • sheep
  • risk factors
  • control
  • prevention

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Published Papers (1 paper)

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Research

15 pages, 1097 KiB  
Article
Accuracy of Detecting Degrees of Lameness in Individual Dairy Cattle Within a Herd Using Single and Multiple Changes in Behavior and Gait
by Xi Kang, Junjie Liang, Qian Li and Gang Liu
Animals 2025, 15(8), 1144; https://doi.org/10.3390/ani15081144 - 16 Apr 2025
Cited by 1 | Viewed by 517
Abstract
Lameness adversely affects the welfare and productivity of dairy cows. This study quantifies and analyzes key gait characteristics of cows with varying locomotion scores, evaluating their effectiveness for lameness detection in computer vision systems while considering individual specificity. Six key characteristics—back arch, head [...] Read more.
Lameness adversely affects the welfare and productivity of dairy cows. This study quantifies and analyzes key gait characteristics of cows with varying locomotion scores, evaluating their effectiveness for lameness detection in computer vision systems while considering individual specificity. Six key characteristics—back arch, head bob, speed, step overlap, supporting phase, and hoof step time—were analyzed to assess their distribution across different locomotion scores. Through a comparative analysis of single-parameter and multiple-parameter classification models, we quantitatively demonstrated that models using multiple characteristics significantly outperformed single-parameter models, achieving an accuracy of 84% and a Macro-F1 score of 0.81, while better accounting for individual variability. Among the characteristics, step overlap, supporting phase, and back arch showed higher relative importance in the classifiers. Back arch was a strong indicator of severe lameness, while step overlap and supporting phase were more effective for detecting mild cases. A hierarchical classification approach further improved performance by minimizing the impact of less relevant characteristics. This study highlights the importance of integrating multiple gait and posture features for robust lameness detection, providing practical insights for automated systems. Full article
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