Biometric variability of goat populations revealed by means of principal component analysis.
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/941458 |
Resumo: | The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Drâa and the other the Zagora and Rhâali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups. |
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Biometric variability of goat populations revealed by means of principal component analysis.Recursos genéticosRaças de caprinosMorfométricasCaracterização da populaçãoBiometricsMorphometricsPopulation characterizationBiometriagoat breedsgenetic resourcesThe aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Drâa and the other the Zagora and Rhâali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups.LUANNA CHÁCARA PIRES, UFPI; THÉA M. MEDEIROS MACHADO, UFV; ADRIANA MELLO DE ARAUJO, CPAMN; TIMOTHY A. OLSON, UNIVERSITY OF FLORIDA, GAINESVILLE, FL, USA; JOÃO BATISTA LOPES DA SILVA, UFV; ROBLEDO ALMEIDA TORRES, UFV; MÁRCIO DA SILVA COSTA, UFPI.PIRES, L. C.MACHADO, T. M. M.ARAUJO, A. M. deOLSON, T. A.SILVA, J. B. L. daTORRES, R. A.COSTA, M. da S.2013-12-17T22:20:49Z2013-12-17T22:20:49Z2012-12-0520122013-12-17T22:20:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Biology, São Paulo, v. 35, n. 4, p. 777-782, 2012.http://www.alice.cnptia.embrapa.br/alice/handle/doc/941458enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:32:04Zoai:www.alice.cnptia.embrapa.br:doc/941458Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:32:04falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:32:04Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Biometric variability of goat populations revealed by means of principal component analysis. |
title |
Biometric variability of goat populations revealed by means of principal component analysis. |
spellingShingle |
Biometric variability of goat populations revealed by means of principal component analysis. PIRES, L. C. Recursos genéticos Raças de caprinos Morfométricas Caracterização da população Biometrics Morphometrics Population characterization Biometria goat breeds genetic resources |
title_short |
Biometric variability of goat populations revealed by means of principal component analysis. |
title_full |
Biometric variability of goat populations revealed by means of principal component analysis. |
title_fullStr |
Biometric variability of goat populations revealed by means of principal component analysis. |
title_full_unstemmed |
Biometric variability of goat populations revealed by means of principal component analysis. |
title_sort |
Biometric variability of goat populations revealed by means of principal component analysis. |
author |
PIRES, L. C. |
author_facet |
PIRES, L. C. MACHADO, T. M. M. ARAUJO, A. M. de OLSON, T. A. SILVA, J. B. L. da TORRES, R. A. COSTA, M. da S. |
author_role |
author |
author2 |
MACHADO, T. M. M. ARAUJO, A. M. de OLSON, T. A. SILVA, J. B. L. da TORRES, R. A. COSTA, M. da S. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
LUANNA CHÁCARA PIRES, UFPI; THÉA M. MEDEIROS MACHADO, UFV; ADRIANA MELLO DE ARAUJO, CPAMN; TIMOTHY A. OLSON, UNIVERSITY OF FLORIDA, GAINESVILLE, FL, USA; JOÃO BATISTA LOPES DA SILVA, UFV; ROBLEDO ALMEIDA TORRES, UFV; MÁRCIO DA SILVA COSTA, UFPI. |
dc.contributor.author.fl_str_mv |
PIRES, L. C. MACHADO, T. M. M. ARAUJO, A. M. de OLSON, T. A. SILVA, J. B. L. da TORRES, R. A. COSTA, M. da S. |
dc.subject.por.fl_str_mv |
Recursos genéticos Raças de caprinos Morfométricas Caracterização da população Biometrics Morphometrics Population characterization Biometria goat breeds genetic resources |
topic |
Recursos genéticos Raças de caprinos Morfométricas Caracterização da população Biometrics Morphometrics Population characterization Biometria goat breeds genetic resources |
description |
The aim was to analyze variation in 12 Brazilian and Moroccan goat populations, and, through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among individuals and populations. The biometric measurements were wither height (WH), brisket height (BH) and ear length (EL). Thorax depth (WH-BH) and the three indices, TD/WH, EL/TD and EL/WH, were also calculated. Of the seven components extracted, the first three principal components were sufficient to explain 99.5% of the total variance of the data. Graphical dispersion by genetic groups revealed that European dairy breeds clustered together. The Moroccan breeds were separated into two groups, one comprising the Drâa and the other the Zagora and Rhâali breeds. Whereas, on the one side, the Anglo-Nubian and undefined breeds were the closest to one another the goats of the Azul were observed to have the highest variation of all the breeds. The Anglo-Nubian and Boer breeds were similar to each other. The Nambi-type goats remained distinct from all the other populations. In general, the use of graphical representation of PCA values allowed to distinguish genetic groups. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-05 2012 2013-12-17T22:20:49Z 2013-12-17T22:20:49Z 2013-12-17T22:20:49Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Genetics and Molecular Biology, São Paulo, v. 35, n. 4, p. 777-782, 2012. http://www.alice.cnptia.embrapa.br/alice/handle/doc/941458 |
identifier_str_mv |
Genetics and Molecular Biology, São Paulo, v. 35, n. 4, p. 777-782, 2012. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/941458 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503384323063808 |