Lameness Detection in Dairy Cows: Part 1. How to Distinguish between Non-Lame and Lame Cows Based on Differences in Locomotion or Behavior.
Authors: Van Nuffel Annelies, Zwertvaegher Ingrid, Pluym Liesbet, Van Weyenberg Stephanie, Thorup Vivi M, Pastell Matti, Sonck Bart, Saeys Wouter
Journal: Animals : an open access journal from MDPI
Summary
# Editorial Summary Lameness remains one of the most significant welfare and production challenges in dairy herds, yet early detection remains inconsistent across farms, largely dependent on the vigilance and experience of individual stockpeople. This review synthesises the physiological basis of normal bovine locomotion and posture, then systematically describes how these parameters change when pain from foot lesions develops, linking observable gait abnormalities to established visual scoring systems. The authors highlight a critical gap in the literature: whilst multiple locomotion scoring protocols exist, considerable variation occurs in how and where cows are assessed (walkway design, speed, surface type), and this variability directly influences the scores assigned and the reliability of comparisons between studies and between farms. Understanding the biomechanical signatures of lameness—including altered weight distribution, reduced stride length, increased stance time on sound limbs, and postural changes like arched backs and lowered heads—provides the foundation for both visual assessment and automated detection systems. For practitioners, the practical implication is clear: standardising assessment conditions and developing a shared reference for 'normal' locomotion in your specific herd setting is essential for catching lame cows early enough that intervention can prevent progression to severe, costly disease; investment in automated monitoring technology may eventually support this process, but currently remains uncommon in commercial practice.
Read the full abstract on PubMed
Practical Takeaways
- •Early detection of lameness through improved assessment of locomotion and behavioral changes can reduce severe cases and associated economic losses in dairy herds.
- •Standardization of locomotion scoring protocols and clearer definitions of abnormal gait patterns would improve consistency and reliability of lameness detection across different observers and farm settings.
- •Consider implementation of automated monitoring systems as they develop, as manual visual assessment remains inconsistent and relies heavily on individual observer experience.
Key Findings
- •Visual locomotion scoring systems are the primary method for detecting lame cows by herdsmen, hoof trimmers, and veterinarians based on gait abnormalities and behavioral changes.
- •Automated systems for lameness detection have been developed by researchers and industry but remain rarely used in commercial dairy herds despite their potential.
- •Clear definitions of normal cow gait and locomotion are needed to properly identify abnormal gait patterns caused by lameness.
- •Different experimental set-ups and conditions during locomotion scoring significantly influence the resulting locomotion scores and detection outcomes.