Predicting rapeseed oil content with near‑infrared spectroscopy

Detalhes bibliográficos
Autor(a) principal: Rossato, Roberta
Data de Publicação: 2014
Outros Autores: Cavenaghi Prete, Cássio Egídio, Castro, César de, Tomm, Gilberto Omar, Leite, Rodrigo Santos, Mandarino, José Marcos Gontijo, Araújo, Pedro Mário de, Carvalho, Claudio Guilherme Portela de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/18300
Resumo: The objective of this work was to establish a calibration equation and to estimate the efficiency of near‑infrared reflectance (NIR) spectroscopy for evaluating rapeseed oil content in Southern Brazil. Spectral data from 124 half‑sib families were correlated with oil contents determined by the chemical method. The accuracy of the equation was verified by coefficient of determination (R2) of 0.92, error of calibration (SEC) of 0.78, and error of performance (SEP) of 1.22. The oil content of ten genotypes, which were not included in the calibration with NIR, was similar to the one obtained by the standard chemical method. NIR spectroscopy is adequate to differentiate oil content of rapeseed genotypes.
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spelling Predicting rapeseed oil content with near‑infrared spectroscopyPredição do teor de óleo em sementes de canola por espectroscopia de infravermelho próximoBrassica napus; NIR; oilseed; soxhlet; spectral analysisxhlet; NIR.Brassica napus; NIR; oleaginosa; soxhlet; análise espectralThe objective of this work was to establish a calibration equation and to estimate the efficiency of near‑infrared reflectance (NIR) spectroscopy for evaluating rapeseed oil content in Southern Brazil. Spectral data from 124 half‑sib families were correlated with oil contents determined by the chemical method. The accuracy of the equation was verified by coefficient of determination (R2) of 0.92, error of calibration (SEC) of 0.78, and error of performance (SEP) of 1.22. The oil content of ten genotypes, which were not included in the calibration with NIR, was similar to the one obtained by the standard chemical method. NIR spectroscopy is adequate to differentiate oil content of rapeseed genotypes.O objetivo deste trabalho foi estabelecer uma equação de calibração e estimar a eficiência da espectroscopia de reflectância no infravermelho próximo (NIR), para avaliar o teor de óleo em sementes de canola, no Sul do Brasil. Informações espectrais de 124 famílias de meio‑irmãos foram correlacionadas com os teores de óleo determinados pelo método químico. A precisão da equação foi verificada por coeficiente de determinação (R2) de 0,92, erro de calibração (SEC) de 0,78 e erro de desempenho (SEP) de 1,22. O teor de óleo de dez genótipos, não incluídos na calibração por NIR, foi similar ao obtido pelo método químico padrão. A espectroscopia NIR é adequada para diferenciar teores de óleo de genótipos de canola.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraRossato, RobertaCavenaghi Prete, Cássio EgídioCastro, César deTomm, Gilberto OmarLeite, Rodrigo SantosMandarino, José Marcos GontijoAraújo, Pedro Mário deCarvalho, Claudio Guilherme Portela de2014-03-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/18300Pesquisa Agropecuaria Brasileira; v.48, n.12, dez. 2013; 1601-1604Pesquisa Agropecuária Brasileira; v.48, n.12, dez. 2013; 1601-16041678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/18300/12490https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/18300/10878info:eu-repo/semantics/openAccess2014-08-11T16:44:37Zoai:ojs.seer.sct.embrapa.br:article/18300Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-08-11T16:44:37Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Predicting rapeseed oil content with near‑infrared spectroscopy
Predição do teor de óleo em sementes de canola por espectroscopia de infravermelho próximo
title Predicting rapeseed oil content with near‑infrared spectroscopy
spellingShingle Predicting rapeseed oil content with near‑infrared spectroscopy
Rossato, Roberta
Brassica napus; NIR; oilseed; soxhlet; spectral analysisxhlet; NIR.
Brassica napus; NIR; oleaginosa; soxhlet; análise espectral
title_short Predicting rapeseed oil content with near‑infrared spectroscopy
title_full Predicting rapeseed oil content with near‑infrared spectroscopy
title_fullStr Predicting rapeseed oil content with near‑infrared spectroscopy
title_full_unstemmed Predicting rapeseed oil content with near‑infrared spectroscopy
title_sort Predicting rapeseed oil content with near‑infrared spectroscopy
author Rossato, Roberta
author_facet Rossato, Roberta
Cavenaghi Prete, Cássio Egídio
Castro, César de
Tomm, Gilberto Omar
Leite, Rodrigo Santos
Mandarino, José Marcos Gontijo
Araújo, Pedro Mário de
Carvalho, Claudio Guilherme Portela de
author_role author
author2 Cavenaghi Prete, Cássio Egídio
Castro, César de
Tomm, Gilberto Omar
Leite, Rodrigo Santos
Mandarino, José Marcos Gontijo
Araújo, Pedro Mário de
Carvalho, Claudio Guilherme Portela de
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Rossato, Roberta
Cavenaghi Prete, Cássio Egídio
Castro, César de
Tomm, Gilberto Omar
Leite, Rodrigo Santos
Mandarino, José Marcos Gontijo
Araújo, Pedro Mário de
Carvalho, Claudio Guilherme Portela de
dc.subject.por.fl_str_mv Brassica napus; NIR; oilseed; soxhlet; spectral analysisxhlet; NIR.
Brassica napus; NIR; oleaginosa; soxhlet; análise espectral
topic Brassica napus; NIR; oilseed; soxhlet; spectral analysisxhlet; NIR.
Brassica napus; NIR; oleaginosa; soxhlet; análise espectral
description The objective of this work was to establish a calibration equation and to estimate the efficiency of near‑infrared reflectance (NIR) spectroscopy for evaluating rapeseed oil content in Southern Brazil. Spectral data from 124 half‑sib families were correlated with oil contents determined by the chemical method. The accuracy of the equation was verified by coefficient of determination (R2) of 0.92, error of calibration (SEC) of 0.78, and error of performance (SEP) of 1.22. The oil content of ten genotypes, which were not included in the calibration with NIR, was similar to the one obtained by the standard chemical method. NIR spectroscopy is adequate to differentiate oil content of rapeseed genotypes.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-18
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/18300
url https://seer.sct.embrapa.br/index.php/pab/article/view/18300
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/18300/12490
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/18300/10878
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.48, n.12, dez. 2013; 1601-1604
Pesquisa Agropecuária Brasileira; v.48, n.12, dez. 2013; 1601-1604
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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