Bovine breeds identification by trichological analysis.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/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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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 |
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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1794503487162155008 |