Sexual dimorphism of Labrador Retriever dogs by morphometry
The domestic dog (Canis familiaris) is the species of greatest morphological diversity among mammals. Seventy-four Labrador Retriever dogs- 27 males and 47 females - were used in this experiment. Thirty quantitative biometric characteristics, related to morphology were measured. The objective of thi...
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Universidade Federal de Uberlândia
2015-09-01
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doaj-f8bfc605f4eb486fab499b06de8c0e232021-06-29T19:05:46ZengUniversidade Federal de UberlândiaBioscience Journal1981-31632015-09-0131510.14393/BJ-v31n5a2015-2649626496Sexual dimorphism of Labrador Retriever dogs by morphometryMurilo Antonio Oliveira Thuller0Marcelo Jangarelli1Douglas Mena do Couto2Alexandre Herculano Borges Araújo3Universidade Federal Rural do Rio de JaneiroUniversidade Federal Rural do Rio de JaneiroUniversidade Federal Rural do Rio de JaneiroUniversidade Federal Rural do Rio de JaneiroThe domestic dog (Canis familiaris) is the species of greatest morphological diversity among mammals. Seventy-four Labrador Retriever dogs- 27 males and 47 females - were used in this experiment. Thirty quantitative biometric characteristics, related to morphology were measured. The objective of this study was to evaluate the morphometric traits of the Labrador Retriever breed to establish descriptive biometric attributes that may show sexual dimorphism through principal component analysis (PCA) and discriminant analysis (DA). The PCA was processed using all the variables and performing a pre-selection of the most correlated variables. The DA was performed for the 30 variables and also for the five most correlated variables with the first component (CP1), in order to classify new individuals. The PCA was able to identify sexual dimorphism in size, with both the 30 original variables as with the pre- selected variables, the latter optimized the reduction to two principal components. The DA was able to discriminate the two populations, both for 30 variables as for the five variables most correlated with the CP1. The functions with five variables can be used to classify other purebred dogs for sex, with an error of about 6.75%.http://www.seer.ufu.br/index.php/biosciencejournal/article/view/26496principal component analysiscanis familiarismorphology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Murilo Antonio Oliveira Thuller Marcelo Jangarelli Douglas Mena do Couto Alexandre Herculano Borges Araújo |
spellingShingle |
Murilo Antonio Oliveira Thuller Marcelo Jangarelli Douglas Mena do Couto Alexandre Herculano Borges Araújo Sexual dimorphism of Labrador Retriever dogs by morphometry Bioscience Journal principal component analysis canis familiaris morphology |
author_facet |
Murilo Antonio Oliveira Thuller Marcelo Jangarelli Douglas Mena do Couto Alexandre Herculano Borges Araújo |
author_sort |
Murilo Antonio Oliveira Thuller |
title |
Sexual dimorphism of Labrador Retriever dogs by morphometry |
title_short |
Sexual dimorphism of Labrador Retriever dogs by morphometry |
title_full |
Sexual dimorphism of Labrador Retriever dogs by morphometry |
title_fullStr |
Sexual dimorphism of Labrador Retriever dogs by morphometry |
title_full_unstemmed |
Sexual dimorphism of Labrador Retriever dogs by morphometry |
title_sort |
sexual dimorphism of labrador retriever dogs by morphometry |
publisher |
Universidade Federal de Uberlândia |
series |
Bioscience Journal |
issn |
1981-3163 |
publishDate |
2015-09-01 |
description |
The domestic dog (Canis familiaris) is the species of greatest morphological diversity among mammals. Seventy-four Labrador Retriever dogs- 27 males and 47 females - were used in this experiment. Thirty quantitative biometric characteristics, related to morphology were measured. The objective of this study was to evaluate the morphometric traits of the Labrador Retriever breed to establish descriptive biometric attributes that may show sexual dimorphism through principal component analysis (PCA) and discriminant analysis (DA). The PCA was processed using all the variables and performing a pre-selection of the most correlated variables. The DA was performed for the 30 variables and also for the five most correlated variables with the first component (CP1), in order to classify new individuals. The PCA was able to identify sexual dimorphism in size, with both the 30 original variables as with the pre- selected variables, the latter optimized the reduction to two principal components. The DA was able to discriminate the two populations, both for 30 variables as for the five variables most correlated with the CP1. The functions with five variables can be used to classify other purebred dogs for sex, with an error of about 6.75%. |
topic |
principal component analysis canis familiaris morphology |
url |
http://www.seer.ufu.br/index.php/biosciencejournal/article/view/26496 |
work_keys_str_mv |
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1721354532273782784 |