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behaviour
nutrition
riding science
2019
Expert Opinion

Improving the Recognition of Equine Affective States.

Authors: Bell Catherine, Rogers Suzanne, Taylor Julie, Busby Debbie

Journal: Animals : an open access journal from MDPI

Summary

# Editorial Summary Recognising when horses are distressed remains a significant blind spot in equestrian practice, with handlers frequently overlooking behavioural indicators that signal negative emotional states—a gap that compromises both welfare and safety. Bell and colleagues presented six videos depicting various equestrian disciplines to Facebook group members and equine behaviourists, asking them to assess the horses' affective states; the expert group's consistent responses established a benchmark for "correct" interpretation against which general respondents could be measured. Whilst many participants accurately identified distress in certain contexts, behaviours associated with negative states were substantially missed, particularly in natural horsemanship and bridle-less riding scenarios (logistic regression confirmed video type as a significant predictor of correct answers at p < 0.01, with a 72.1% overall success rate), and prior ownership experience failed to improve recognition accuracy. Concerningly, even when respondents did recognise signs of distress, some remained willing to accept similar treatment for their own horses—suggesting a disconnect between recognition and welfare standards. The findings highlight an urgent need for targeted education and welfare messaging to enhance practitioners' ability to identify equine behavioural distress signals, particularly regarding training methods that may mask or normalise physiological indicators of negative affect.

Read the full abstract on PubMed

Practical Takeaways

  • Most horse handlers fail to recognize behavioral signs of distress, particularly in natural horsemanship and bridle-less riding contexts—prioritize learning to identify stress signals regardless of training method used
  • Years of horse experience do not guarantee better recognition of welfare problems; formal education on equine behavior and body language is essential for all handlers
  • Even when distress signs are recognized, handlers may not perceive them as problematic; welfare organizations should emphasize that certain practices cause suffering and should be avoided

Key Findings

  • Binary logistic regression achieved 72.1% success rate in predicting correct identification of equine distress behaviors based on video type
  • Videos of natural horsemanship and bridle-less riding were particularly misinterpreted as positive experiences despite showing signs of negative affective states
  • Equestrian experience and ownership did not predict improved recognition of distress behaviors (p > 0.05)
  • Only clicker training proponents showed significantly increased likelihood of correctly identifying negative affective states (p = 0.05)

Conditions Studied

behavioral distressnegative affective stateswelfare issues