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Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

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Bayesian Recursive and Structural Equation Models to Infer Causal Links Among Gait Visual Scores on Campolina Horses.

Fernando Bussiman^1,2, Jennifer Richter², Jorge Hidalgo²

¹Animal Nutrition and Production Department, University of São Paulo, Pirassununga, São Paulo, Brazil.

Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie

|December 19, 2024

Summary

Style significantly influences horse gait quality, affecting comfort and dissociation. Understanding these causal links in gait scores aids breeders in selecting superior horses for complex movement traits.

Keywords:

causal effects causal inference gait causal network horse gait inductive causation

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Area of Science:

Animal Genetics
Equine Science
Biostatistics

Background:

Visual gait scores are common in horse breeding for assessing gait quality.
Subjectivity and environmental factors can influence visual gait score accuracy.

Purpose of the Study:

To investigate causal relationships among six visual gait traits in Campolina horses.
To establish a causal network for gait quality traits.

Main Methods:

A multitrait animal model (MTM) was used within a Bayesian framework to estimate (co)variance components.
The inductive causation (IC) algorithm was applied to residual (co)variance matrices.
Structural equation models (SEMs) were fitted to causal structures, with the best selected using DIC.

Main Results:

Style (S) was identified as a significant factor in the gait causal network.
Style (S) directly and indirectly impacts Comfort (C).
Indirect effects of Style (S) on Comfort (C) were mediated through Development (De) and Regularity (R).

Conclusions:

The study elucidates the complex causal network of gait traits in horses.
Style is a key trait influencing other gait characteristics, offering insights for breeding programs.
Understanding these causal pathways can improve objective assessment and selection for gait quality in horses.