Testing optimal methods to compare horse postures using geometric morphometrics.
Authors: Sénèque Emilie, Morisset Stéphane, Lesimple Clémence, Hausberger Martine
Journal: PloS one
Summary
# Editorial Summary Geometric morphometrics offers a systematic, statistically robust approach to measuring and comparing equine postures across populations, moving beyond subjective observation to quantifiable data that could inform welfare assessments. Researchers refined existing geometric morphometrics methods by incorporating sliding semilandmarks for outline analysis, removing the confounding variable of neck movement, and isolating specific regions of the dorsum—then tested these refinements on photographs of 85 horses from 11 riding schools with varying housing and work conditions. The optimised method, particularly the combination of sliding semilandmarks and exclusion of neck movement artefacts, successfully discriminated between horse populations more effectively than previous geometric morphometrics approaches, with analysis of isolated dorsal regions proving comparably efficient to full-body assessment. For practitioners, this methodological advancement provides a foundation for objective posture evaluation that could eventually serve as a quantifiable welfare indicator, allowing farriers, physiotherapists and veterinarians to track meaningful postural changes alongside clinical and management observations rather than relying on subjective visual assessment alone. Further validation in clinical and field settings would be needed to establish whether specific posture profiles correlate with identifiable welfare states or pathology, which would substantially enhance the diagnostic utility of postural analysis in equine practice.
Read the full abstract on PubMed
Practical Takeaways
- •Geometric morphometrics using sliding semilandmarks offers a more objective, reproducible method for comparing horse postures than subjective observation, potentially useful for welfare assessments
- •Posture may serve as a quantifiable welfare indicator, though further research is needed to validate this relationship in field conditions
- •This methodology could standardize how riding schools and veterinarians document and compare postural changes across populations
Key Findings
- •Sliding semilandmarks (SSL) with outline analysis discriminated horse populations better than previous geometric morphometrics methods
- •Eliminating neck movement from analysis improved population discrimination
- •Analysis of dorsal body parts alone proved efficient for postural comparison across 85 horses from 11 riding schools with different housing and working conditions