Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1

Detalhes bibliográficos
Autor(a) principal: Matsimbe,Sofrimento Fenias Savanto
Data de Publicação: 2015
Outros Autores: Motoike,Sergio Yoshimitsui, Pinto,Francisco Assis de Carvalho, Leite,Helio Garcia, Marcatti,Gustavo Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100021
Resumo: In the present work a model was developed for the prediction of the oil content of the mesocarp of fruit from the macauba palm, using visible and near infrared spectrometry. Reference values were determined the by Soxhlet method. The model was calibrated using spectral data from the mesocarp of macauba fruit by partial least squares regression, considering nine latent variables. The results of the calibration series were consistent with those of the validation series, registering an The coefficient of determination between the reference method and the developed model, systematic error between the predicted values and the measured values and root mean square error, for calibration and validation with independent data, respectively, equal to 0.8223, -9.2-14 and 5.917 and 0.7760, 7.081 and -0.064. VIS-NIR spectroscopy is a viable tool in the evaluation of genotypes in breeding programs for the macauba palm.
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spelling Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1Acrocomia aculeataQuantification of the oilVIS-NIR model calibrationIn the present work a model was developed for the prediction of the oil content of the mesocarp of fruit from the macauba palm, using visible and near infrared spectrometry. Reference values were determined the by Soxhlet method. The model was calibrated using spectral data from the mesocarp of macauba fruit by partial least squares regression, considering nine latent variables. The results of the calibration series were consistent with those of the validation series, registering an The coefficient of determination between the reference method and the developed model, systematic error between the predicted values and the measured values and root mean square error, for calibration and validation with independent data, respectively, equal to 0.8223, -9.2-14 and 5.917 and 0.7760, 7.081 and -0.064. VIS-NIR spectroscopy is a viable tool in the evaluation of genotypes in breeding programs for the macauba palm.Universidade Federal do Ceará2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100021Revista Ciência Agronômica v.46 n.1 2015reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.1590/S1806-66902015000100003info:eu-repo/semantics/openAccessMatsimbe,Sofrimento Fenias SavantoMotoike,Sergio YoshimitsuiPinto,Francisco Assis de CarvalhoLeite,Helio GarciaMarcatti,Gustavo Eduardoeng2015-10-09T00:00:00Zoai:scielo:S1806-66902015000100021Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2015-10-09T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
title Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
spellingShingle Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
Matsimbe,Sofrimento Fenias Savanto
Acrocomia aculeata
Quantification of the oil
VIS-NIR model calibration
title_short Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
title_full Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
title_fullStr Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
title_full_unstemmed Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
title_sort Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
author Matsimbe,Sofrimento Fenias Savanto
author_facet Matsimbe,Sofrimento Fenias Savanto
Motoike,Sergio Yoshimitsui
Pinto,Francisco Assis de Carvalho
Leite,Helio Garcia
Marcatti,Gustavo Eduardo
author_role author
author2 Motoike,Sergio Yoshimitsui
Pinto,Francisco Assis de Carvalho
Leite,Helio Garcia
Marcatti,Gustavo Eduardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Matsimbe,Sofrimento Fenias Savanto
Motoike,Sergio Yoshimitsui
Pinto,Francisco Assis de Carvalho
Leite,Helio Garcia
Marcatti,Gustavo Eduardo
dc.subject.por.fl_str_mv Acrocomia aculeata
Quantification of the oil
VIS-NIR model calibration
topic Acrocomia aculeata
Quantification of the oil
VIS-NIR model calibration
description In the present work a model was developed for the prediction of the oil content of the mesocarp of fruit from the macauba palm, using visible and near infrared spectrometry. Reference values were determined the by Soxhlet method. The model was calibrated using spectral data from the mesocarp of macauba fruit by partial least squares regression, considering nine latent variables. The results of the calibration series were consistent with those of the validation series, registering an The coefficient of determination between the reference method and the developed model, systematic error between the predicted values and the measured values and root mean square error, for calibration and validation with independent data, respectively, equal to 0.8223, -9.2-14 and 5.917 and 0.7760, 7.081 and -0.064. VIS-NIR spectroscopy is a viable tool in the evaluation of genotypes in breeding programs for the macauba palm.
publishDate 2015
dc.date.none.fl_str_mv 2015-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000100021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1806-66902015000100003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.46 n.1 2015
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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