贝叶斯递归和结构方程模型推断坎波利纳马的步态视觉得分之间的因果关系
Fernando Bussiman1,2, Jennifer Richter2, Jorge Hidalgo2
1Animal Nutrition and Production Department, University of São Paulo, Pirassununga, São Paulo, Brazil.
概括
风格显著影响马的步态质量,影响舒适度和分离. 了解步态得分中的这些因果关系有助于育种者在选择复杂运动特征的优秀马匹时.
科学领域:
- 动物遗传学动物遗传学
- 马类科学 马类科学
- 生物统计学 生物统计学
背景情况:
- 视觉步态得分在马育中很常见,用于评估步态质量.
- 主观性和环境因素可能会影响视觉步态得分的准确性.
研究的目的:
- 研究坎波利纳马的六个视觉步态特征之间的因果关系.
- 建立一种因果关系网络,用于步行质量特征.
主要方法:
- 在贝叶斯框架内使用多特征动物模型 (MTM) 来估计 (共) 差组件.
- 诱导因果关系 (IC) 算法应用于残余 (共差) 矩阵.
- 结构方程模型 (SEMs) 适应因果结构,使用DIC.最佳选择.
主要成果:
- 风格 (S) 被确定为步态因果网络中的重要因素.
- 风格 (S) 直接和间接影响舒适度 (C).
- 风格 (S) 对舒适度 (C) 的间接影响通过发展 (De) 和规律性 (R) 进行调解.
结论:
- 这项研究阐明了马的步态特征复杂的因果关系网络.
- 风格是影响其他步态特征的关键特征,为繁殖计划提供了见解.
- 了解这些因果路径可以改善客观评估和选择马的步态质量.
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