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原始马、混血马和纯血马在外貌上的差异:解剖-育种方法。

Differences in exterior conformation between primitive, Half-bred, and Thoroughbred horses: anatomic-breeding approach.

机构信息

Poznań University of Life Sciences, Department of Animal Anatomy, Institute of Zoology, 60-625 Poznań, Poland.

出版信息

J Anim Sci. 2013 Apr;91(4):1660-8. doi: 10.2527/jas.2012-5367. Epub 2013 Jan 23.

Abstract

The study included 249 horses belonging to 3 horse breeds. Konik horses, comprising the first group, is an example of a breed similar to the extinct Tarpan. In our study, these horses were taken to be a primitive anatomical model of the horse body. The other groups comprised the Polish Half-bred horse and Thoroughbred horse. The biometric characteristics of the horses were compared based on 24 indices. The aim of the paper was to find a reduced set of indices that can be used to determine group membership of the horses. To do this, we used statistical methods to find the most important indices that best discriminate breeds from each other. Chi-squared statistics, linear discriminant analysis, logistic regression, and 1-way ANOVA showed that the discrimination among groups of horses is connected with these 5 indices: scapula, smaller trunk (distance between tubercle of humerus and coxal tuber), greater trunk (distance between tubercle of humerus and ischial tuberosity), metacarpus circumference, and hind autopodium-smaller trunk. Thoroughbred and Half-bred horses are clearly different in exterior conformation from Konik horses. The differences between Thoroughbred and Half-bred horses are more subtle. The conformation of Thoroughbreds is jointly determined by relatively small differences in a range of features.

摘要

该研究包括 249 匹马,它们属于 3 个马种。第一组的 Konik 马是一种类似于已灭绝的普氏野马的品种。在我们的研究中,这些马被视为马体的原始解剖模型。其他两组是波兰半血马和纯血马。根据 24 项指标比较了马的生物计量特征。本文的目的是找到一组可以用来确定马种归属的简化指标。为此,我们使用统计方法找到了最能区分不同品种的重要指标。卡方检验、线性判别分析、逻辑回归和单因素方差分析表明,马群之间的区分与以下 5 个指标有关:肩胛骨、较小的躯干(肱骨结节和坐骨结节之间的距离)、较大的躯干(肱骨结节和坐骨结节之间的距离)、掌骨周长和后肢跗骨-较小的躯干。纯血马和半血马在外貌上明显不同于 Konik 马。纯血马和半血马之间的差异更为微妙。纯血马的外貌是由一系列特征的相对较小差异共同决定的。

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