Suppr超能文献

对西班牙纯种马盛装舞步遗传评估进行建模,重点关注骑手效应。

Modelling genetic evaluation for dressage in Pura Raza Español horses with focus on the rider effect.

作者信息

Sánchez Guerrero M J, Cervantes I, Valera M, Gutiérrez J P

机构信息

Department of Animal Production, Complutense University, Madrid, Spain.

出版信息

J Anim Breed Genet. 2014 Oct;131(5):395-402. doi: 10.1111/jbg.12088. Epub 2014 Mar 28.

Abstract

The most popular use of the Pura Raza Español horse in sport is for dressage competitions. Tests on young sport horses were first established in 2004 in Spain to collect data for the genetic evaluation of this breed's suitability for dressage. The aim of this study was to compare eight different models to find out the most appropriate way to include the rider in the genetic evaluation of dressage. A progressive removal of systematic effects from model was also analysed. A total of 8867 performance records collected between 2004 and 2011 from 1234 horses aged between 4 and 6 years old were used. The final score in the dressage test was used as the performance trait. The pedigree matrix contained 8487 individuals. A BLUP animal model was applied using a Bayesian approach with TM software. The horse's age, gender, travelling time, training level, stud of birth and event were included as systematic effects in all the models. Apart from the animal and residual effects that were present in all models, different models were compared combining random effects such as the rider, match (i.e. rider-horse interaction) and permanent environmental effects. A cross-validation approach was used to evaluate the models' prediction ability. The best model included the permanent environmental, rider and match random effects. As far as systematic effects are concerned, the event or the stud of birth was essential effects needed to fit the data.

摘要

西班牙纯血马在体育赛事中最常见的用途是参加盛装舞步比赛。2004年,西班牙首次对年轻的运动马进行测试,以收集数据用于该品种马盛装舞步适宜性的遗传评估。本研究的目的是比较八种不同模型,找出在盛装舞步遗传评估中纳入骑手的最合适方法。还分析了逐步去除模型中系统效应的情况。共使用了2004年至2011年间收集的1234匹4至6岁马的8867条性能记录。盛装舞步测试的最终得分用作性能性状。系谱矩阵包含8487个个体。使用贝叶斯方法和TM软件应用了最佳线性无偏预测动物模型。在所有模型中,马的年龄、性别、行程时间、训练水平、出生种马场和赛事作为系统效应纳入。除了所有模型中都存在的动物效应和残差效应外,还比较了不同模型,这些模型结合了骑手、匹配(即骑手与马的相互作用)和永久环境效应等随机效应。采用交叉验证方法评估模型的预测能力。最佳模型包括永久环境、骑手和匹配随机效应。就系统效应而言,赛事或出生种马场是拟合数据所需的关键效应。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验