Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.

Detalhes bibliográficos
Autor(a) principal: PANERO, F. dos P.
Data de Publicação: 2022
Outros Autores: SMIDERLE, O. J., PANERO, J. S., FARIA, F. S. D. V, PANERO, P. dos S., RODRIGUEZ, A. F. R.
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/1153868
Resumo: The differentiation of cultivars is carried out by means of morphological descriptors, in addition to molecular markers. In this work, near-infrared spectroscopy (NIR) and chemometric techniques were used to develop classification models for two different commercial sesame cultivars (Sesamum indicum) and 3 different strains. The diffuse reflectance spectra were recorded in the region of 700 to 2500 nm. Based on the application of chemometric techniques: principal component analysis?PCA, hierarchical cluster analysis?HCA, k-nearest neighbor?KNN and the flexible independent modeling of class analogy?SIMCA, from the infrared spectra in the near region, it was possible to perform the genotyping of two sesame cultivars (BRS Seda and BRS Anahí), and to classify these cultivars with 3 different sesame strains, obtaining 100% accurate results. Due to the good results obtained with the implemented models, the potential of the methods for a possible realization of forensic, fast and non-destructive authentication, in intact sesame seeds was evident.
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spelling Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.NIRPCAHCAKNNSIMCASesamum IndicumThe differentiation of cultivars is carried out by means of morphological descriptors, in addition to molecular markers. In this work, near-infrared spectroscopy (NIR) and chemometric techniques were used to develop classification models for two different commercial sesame cultivars (Sesamum indicum) and 3 different strains. The diffuse reflectance spectra were recorded in the region of 700 to 2500 nm. Based on the application of chemometric techniques: principal component analysis?PCA, hierarchical cluster analysis?HCA, k-nearest neighbor?KNN and the flexible independent modeling of class analogy?SIMCA, from the infrared spectra in the near region, it was possible to perform the genotyping of two sesame cultivars (BRS Seda and BRS Anahí), and to classify these cultivars with 3 different sesame strains, obtaining 100% accurate results. Due to the good results obtained with the implemented models, the potential of the methods for a possible realization of forensic, fast and non-destructive authentication, in intact sesame seeds was evident.FRANCISCO DOS SANTOS PANERO, UFRR; OSCAR JOSE SMIDERLE, CPAF-RR; JOÃO S. PANERO, IFRR; FERNANDO S. D. V. FARIA UNIVERSIDADE FEDERAL DO ACRE, UNIVERSIDADE FEDERAL DO ACRE; PEDRO DOS S. PANERO, IFRR; ANSELMO F. R. RODRIGUEZ, UNIVERSIDADE FEDERAL DO ACRE.PANERO, F. dos P.SMIDERLE, O. J.PANERO, J. S.FARIA, F. S. D. VPANERO, P. dos S.RODRIGUEZ, A. F. R.2023-05-22T13:47:50Z2023-05-22T13:47:50Z2023-05-222022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBiosensors, v. 12, n. 69, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153868enginfo: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:EMBRAPA2023-05-22T13:47:50Zoai:www.alice.cnptia.embrapa.br:doc/1153868Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-05-22T13:47:50falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-05-22T13:47:50Repositório 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 Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
title Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
spellingShingle Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
PANERO, F. dos P.
NIR
PCA
HCA
KNN
SIMCA
Sesamum Indicum
title_short Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
title_full Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
title_fullStr Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
title_full_unstemmed Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
title_sort Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
author PANERO, F. dos P.
author_facet PANERO, F. dos P.
SMIDERLE, O. J.
PANERO, J. S.
FARIA, F. S. D. V
PANERO, P. dos S.
RODRIGUEZ, A. F. R.
author_role author
author2 SMIDERLE, O. J.
PANERO, J. S.
FARIA, F. S. D. V
PANERO, P. dos S.
RODRIGUEZ, A. F. R.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv FRANCISCO DOS SANTOS PANERO, UFRR; OSCAR JOSE SMIDERLE, CPAF-RR; JOÃO S. PANERO, IFRR; FERNANDO S. D. V. FARIA UNIVERSIDADE FEDERAL DO ACRE, UNIVERSIDADE FEDERAL DO ACRE; PEDRO DOS S. PANERO, IFRR; ANSELMO F. R. RODRIGUEZ, UNIVERSIDADE FEDERAL DO ACRE.
dc.contributor.author.fl_str_mv PANERO, F. dos P.
SMIDERLE, O. J.
PANERO, J. S.
FARIA, F. S. D. V
PANERO, P. dos S.
RODRIGUEZ, A. F. R.
dc.subject.por.fl_str_mv NIR
PCA
HCA
KNN
SIMCA
Sesamum Indicum
topic NIR
PCA
HCA
KNN
SIMCA
Sesamum Indicum
description The differentiation of cultivars is carried out by means of morphological descriptors, in addition to molecular markers. In this work, near-infrared spectroscopy (NIR) and chemometric techniques were used to develop classification models for two different commercial sesame cultivars (Sesamum indicum) and 3 different strains. The diffuse reflectance spectra were recorded in the region of 700 to 2500 nm. Based on the application of chemometric techniques: principal component analysis?PCA, hierarchical cluster analysis?HCA, k-nearest neighbor?KNN and the flexible independent modeling of class analogy?SIMCA, from the infrared spectra in the near region, it was possible to perform the genotyping of two sesame cultivars (BRS Seda and BRS Anahí), and to classify these cultivars with 3 different sesame strains, obtaining 100% accurate results. Due to the good results obtained with the implemented models, the potential of the methods for a possible realization of forensic, fast and non-destructive authentication, in intact sesame seeds was evident.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023-05-22T13:47:50Z
2023-05-22T13:47:50Z
2023-05-22
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 Biosensors, v. 12, n. 69, 2022.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153868
identifier_str_mv Biosensors, v. 12, n. 69, 2022.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153868
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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