Literature DB >> 16603822

The variability of cranial morphology in modern horses.

Marcin Komosa1, Krzysztof Moliński, Szymon Godynicki.   

Abstract

Horses bred nowadays are characterized by high variability of the body build. The variability concerns exterior features and skeleton features. From among the skeleton parts the skull is an element influenced by selection and environmental adaptation. The aim of these investigations was to find whether cranial traits exhibit variability in relation to the body build of horses. To do this, metric parameters of skulls of 43 horses used in the investigations were analysed with various statistical techniques. On the basis of ANOVA, Principal Components Analysis and Canonical Discriminant Analysis it was found that horses of various constitutional types exhibit differences in cranial morphology. Warm blood horses of the respiratory constitutional type have more complex nasal cavity from horses of heavier body build. A meaningful effect on craniometric variability was observed in the length and breadth of the viscerocranium. Also the height of the viscerocranium--a cranial feature of the respiratory tract, showed a high discriminating power.

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Year:  2006        PMID: 16603822     DOI: 10.2108/zsj.23.289

Source DB:  PubMed          Journal:  Zoolog Sci        ISSN: 0289-0003            Impact factor:   0.931


  4 in total

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Journal:  Front Vet Sci       Date:  2022-05-12

Review 2.  The use of the geometric morphometric method to illustrate shape difference in the skulls of different-aged horses.

Authors:  Tiziana Liuti; Padraic M Dixon
Journal:  Vet Res Commun       Date:  2020-07-23       Impact factor: 2.459

3.  The analysis of densitometric and geometric parameters of bilateral proximal phalanges in horses with the use of peripheral quantitative computed tompgraphy.

Authors:  Małgorzata Dzierzęcka; Anna Charuta
Journal:  Acta Vet Scand       Date:  2012-07-13       Impact factor: 1.695

4.  The Osteometry of Equine Third Phalanx by the Use of Three-Dimensional Scanning: New Measurement Possibilities.

Authors:  Sławomir Paśko; Małgorzata Dzierzęcka; Halina Purzyc; Anna Charuta; Karolina Barszcz; Bartłomiej Jan Bartyzel; Marcin Komosa
Journal:  Scanning       Date:  2017-01-11       Impact factor: 1.932

  4 in total

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