Morphometric measurements for sexual dimorphism in the Campolina horse breed

The objective of this work was to distinguish the sexual dimorphism of horses of the Campolina breed, by morphomctric measurements, and to classify them according to sex, using discriminating functions. Two-hundred and fifteen horses were measured, and 39 morphometric measurements were evaluated. Th...

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Veröffentlicht in:Pesquisa agropecuaria brasileira 2021-01, Vol.56, Article 02148
Hauptverfasser: Krebs, Lisia Castro, de Moraes Santos, Marina Monteiro, Siqueira, Maria Claudia, Goncalves de Araujo, Brennda Paula, Oliveira, Leonardo Gomes, Costa Feitosa, Fabiany Sousa, Ferreira de Camargo, Gregorio Miguel, de Araujo Oliveira, Chiara Albano, Costa, Raphael Bermal, Schultz, Erica Beatriz, de Godoi, Fernanda Nascimento
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Sprache:eng
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Zusammenfassung:The objective of this work was to distinguish the sexual dimorphism of horses of the Campolina breed, by morphomctric measurements, and to classify them according to sex, using discriminating functions. Two-hundred and fifteen horses were measured, and 39 morphometric measurements were evaluated. The analysis of covariance and the discriminant analysis were performed. Males were taller and showed a wider chest, a greater scapularhumeral angle, and a larger neck, both in length and circumference. Females had a larger heart girth, wider hips, and a greater opening of the coxal-ground and femorotibial angles. Regarding classification, circumference measurements (85.58%) were more accurate in sexual differentiation than the linear (83.26%) and angular (73.02%) ones. As to classification error, of the total animals measured, 10 to 20% of the females were categorized as males. In addition, 11 to 38% of the males were categorized as females. It can be concluded that of the 39 morphometric measurements evaluated, 22 are responsible for sexual dimorphism in the Campolina horse breed. Circumference and linear measurements provide a more assertive classification to determine sexual dimorphism. Angular measurements show greater classification errors regarding the gender of the horses.
ISSN:0100-204X
1678-3921
1678-3921
DOI:10.1590/S1678-3921.pab2021.v56.02148