Non-Destructive Genotyping of Cultivars and Strains of Sesame through NIR Spectroscopy and Chemometrics.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/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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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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1794503545120096256 |