Prediction of oil content in the mesocarp of fruit from the macauba palm using spectrometry1
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
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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Revista ciência agronômica (Online) |
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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 |
_version_ |
1750297487540748288 |