Bovine breeds identification by trichological analysis.

Detalhes bibliográficos
Autor(a) principal: FELIX, G. A.
Data de Publicação: 2019
Outros Autores: FIORAVANTI, M. C. S., CASSADRO, M., TORMEN, N., QUADROS, J., JULIANO, R. S., EGITO, A. A. do, MOURA, M. I. de, PIOVEZAN, U.
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/1117973
https://doi.org/10.3390/ani9100761
Resumo: This study aimed to identify bovine breeds through trichological morphology and morphometry and to validate this technique by comparing it with genetic characterization. Animals from Caracu, Curraleiro Pé-Duro, Nelore, and Bovino Pantaneiro breeds were studied. Morphological and morphometric analyses of the guard hairs were performed. The cuticular pattern was observed on the shaft and the medulla pattern on the shield of the samples. The cattle genetic characterization was accomplished using microsatellite markers. Statistical analyses were performed using R version 3.2.4 software. Pearson?s correlation test showed a high positive and significant correlation between the matrices generated by trichological and genetic analyses (r = 0,996 and p < 0.001). Trichological analysis is a useful method for cattle breed identification. Its potential for identifying other species of interest for animal production should be studied since it is a simple, low-cost, and non-invasive method.
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spelling Bovine breeds identification by trichological analysis.Breed markerGenetic characterizationRaçaBovinoGenética AnimalAnimal genetic resourcesCattle breedingThis study aimed to identify bovine breeds through trichological morphology and morphometry and to validate this technique by comparing it with genetic characterization. Animals from Caracu, Curraleiro Pé-Duro, Nelore, and Bovino Pantaneiro breeds were studied. Morphological and morphometric analyses of the guard hairs were performed. The cuticular pattern was observed on the shaft and the medulla pattern on the shield of the samples. The cattle genetic characterization was accomplished using microsatellite markers. Statistical analyses were performed using R version 3.2.4 software. Pearson?s correlation test showed a high positive and significant correlation between the matrices generated by trichological and genetic analyses (r = 0,996 and p < 0.001). Trichological analysis is a useful method for cattle breed identification. Its potential for identifying other species of interest for animal production should be studied since it is a simple, low-cost, and non-invasive method.Gisele Aparecida Felix, School of Veterinary Medicine, University Centre of Grande Dourados Region; Maria Clorinda Soares Fioravanti, School of Veterinary Medicine and Zootechny, Federal University of Goiás; Martino Cassandro, Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova; Nicola Tormen, Department of Biology, University of Padova; Juliana Quadros, Department of Biology, Federal University of Paraná; RAQUEL SOARES JULIANO, CPAP; ANDREA ALVES DO EGITO, CNPGC; Maria Ivete de Moura; UBIRATAN PIOVEZAN, CPATC.FELIX, G. A.FIORAVANTI, M. C. S.CASSADRO, M.TORMEN, N.QUADROS, J.JULIANO, R. S.EGITO, A. A. doMOURA, M. I. dePIOVEZAN, U.2020-01-02T18:08:43Z2020-01-02T18:08:43Z2020-01-0220192020-01-06T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAnimals, v. 9, n. 10, 761, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1117973https://doi.org/10.3390/ani9100761enginfo: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:EMBRAPA2020-01-02T18:08:50Zoai:www.alice.cnptia.embrapa.br:doc/1117973Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-01-02T18:08:50falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-01-02T18:08:50Repositório 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 Bovine breeds identification by trichological analysis.
title Bovine breeds identification by trichological analysis.
spellingShingle Bovine breeds identification by trichological analysis.
FELIX, G. A.
Breed marker
Genetic characterization
Raça
Bovino
Genética Animal
Animal genetic resources
Cattle breeding
title_short Bovine breeds identification by trichological analysis.
title_full Bovine breeds identification by trichological analysis.
title_fullStr Bovine breeds identification by trichological analysis.
title_full_unstemmed Bovine breeds identification by trichological analysis.
title_sort Bovine breeds identification by trichological analysis.
author FELIX, G. A.
author_facet FELIX, G. A.
FIORAVANTI, M. C. S.
CASSADRO, M.
TORMEN, N.
QUADROS, J.
JULIANO, R. S.
EGITO, A. A. do
MOURA, M. I. de
PIOVEZAN, U.
author_role author
author2 FIORAVANTI, M. C. S.
CASSADRO, M.
TORMEN, N.
QUADROS, J.
JULIANO, R. S.
EGITO, A. A. do
MOURA, M. I. de
PIOVEZAN, U.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Gisele Aparecida Felix, School of Veterinary Medicine, University Centre of Grande Dourados Region; Maria Clorinda Soares Fioravanti, School of Veterinary Medicine and Zootechny, Federal University of Goiás; Martino Cassandro, Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova; Nicola Tormen, Department of Biology, University of Padova; Juliana Quadros, Department of Biology, Federal University of Paraná; RAQUEL SOARES JULIANO, CPAP; ANDREA ALVES DO EGITO, CNPGC; Maria Ivete de Moura; UBIRATAN PIOVEZAN, CPATC.
dc.contributor.author.fl_str_mv FELIX, G. A.
FIORAVANTI, M. C. S.
CASSADRO, M.
TORMEN, N.
QUADROS, J.
JULIANO, R. S.
EGITO, A. A. do
MOURA, M. I. de
PIOVEZAN, U.
dc.subject.por.fl_str_mv Breed marker
Genetic characterization
Raça
Bovino
Genética Animal
Animal genetic resources
Cattle breeding
topic Breed marker
Genetic characterization
Raça
Bovino
Genética Animal
Animal genetic resources
Cattle breeding
description This study aimed to identify bovine breeds through trichological morphology and morphometry and to validate this technique by comparing it with genetic characterization. Animals from Caracu, Curraleiro Pé-Duro, Nelore, and Bovino Pantaneiro breeds were studied. Morphological and morphometric analyses of the guard hairs were performed. The cuticular pattern was observed on the shaft and the medulla pattern on the shield of the samples. The cattle genetic characterization was accomplished using microsatellite markers. Statistical analyses were performed using R version 3.2.4 software. Pearson?s correlation test showed a high positive and significant correlation between the matrices generated by trichological and genetic analyses (r = 0,996 and p < 0.001). Trichological analysis is a useful method for cattle breed identification. Its potential for identifying other species of interest for animal production should be studied since it is a simple, low-cost, and non-invasive method.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-01-02T18:08:43Z
2020-01-02T18:08:43Z
2020-01-02
2020-01-06T11:11:11Z
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 Animals, v. 9, n. 10, 761, 2019.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1117973
https://doi.org/10.3390/ani9100761
identifier_str_mv Animals, v. 9, n. 10, 761, 2019.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1117973
https://doi.org/10.3390/ani9100761
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
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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)
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