Use of near infrared spectroscopy in cotton seeds physiological quality evaluation
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Seed Science |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100114 |
Resumo: | Abstract: This study aimed to evaluate the near-infrared spectroscopy potential in analyzing the quality of cottonseed regarding different physiological quality levels, noting the need for faster techniques and tools to aid decision making. It was used eight samples of cottonseed with and without lint, presenting different physiological quality. The “high” (lots 1, 4, 5, 6 and 7) and “low” (lots 2, 3 and 8) vigor levels were defined based on vigor tests carried out and on the Normative Instruction 45/2013. The near infrared spectroscopy spectra was obtained from four types of sample preparations: whole seeds, cut in a half, without tegument and grounded seeds. Using the spectra and the grouping of lots in high and low vigor, cross validation models were optimized, built using the PLS - DA method, making it possible to predict seed classes. Grounded seeds were the best type of sample preparation, with 95% of correct predictions for high vigor seeds and 100% of low vigor (both for seeds with lint) and with 100% correct predictions for high vigor seeds and 91.7% low vigor (without lint). |
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Use of near infrared spectroscopy in cotton seeds physiological quality evaluationGossypium hirsutum L.vigorchemometricsAbstract: This study aimed to evaluate the near-infrared spectroscopy potential in analyzing the quality of cottonseed regarding different physiological quality levels, noting the need for faster techniques and tools to aid decision making. It was used eight samples of cottonseed with and without lint, presenting different physiological quality. The “high” (lots 1, 4, 5, 6 and 7) and “low” (lots 2, 3 and 8) vigor levels were defined based on vigor tests carried out and on the Normative Instruction 45/2013. The near infrared spectroscopy spectra was obtained from four types of sample preparations: whole seeds, cut in a half, without tegument and grounded seeds. Using the spectra and the grouping of lots in high and low vigor, cross validation models were optimized, built using the PLS - DA method, making it possible to predict seed classes. Grounded seeds were the best type of sample preparation, with 95% of correct predictions for high vigor seeds and 100% of low vigor (both for seeds with lint) and with 100% correct predictions for high vigor seeds and 91.7% low vigor (without lint).ABRATES - Associação Brasileira de Tecnologia de Sementes2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100114Journal of Seed Science v.42 2020reponame:Journal of Seed Scienceinstname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABRATES10.1590/2317-1545v42227169info:eu-repo/semantics/openAccessMayrinck,Lívia GiroLima,Juliana Maria EspíndolaGuimarães,Gabriel CastanheiraNunes,Cleiton AntônioOliveira,João Almireng2020-05-19T00:00:00Zoai:scielo:S2317-15372020000100114Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2317-1537&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br2317-15452317-1537opendoar:2020-05-19T00:00Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)false |
dc.title.none.fl_str_mv |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
title |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
spellingShingle |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation Mayrinck,Lívia Giro Gossypium hirsutum L. vigor chemometrics |
title_short |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
title_full |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
title_fullStr |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
title_full_unstemmed |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
title_sort |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation |
author |
Mayrinck,Lívia Giro |
author_facet |
Mayrinck,Lívia Giro Lima,Juliana Maria Espíndola Guimarães,Gabriel Castanheira Nunes,Cleiton Antônio Oliveira,João Almir |
author_role |
author |
author2 |
Lima,Juliana Maria Espíndola Guimarães,Gabriel Castanheira Nunes,Cleiton Antônio Oliveira,João Almir |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Mayrinck,Lívia Giro Lima,Juliana Maria Espíndola Guimarães,Gabriel Castanheira Nunes,Cleiton Antônio Oliveira,João Almir |
dc.subject.por.fl_str_mv |
Gossypium hirsutum L. vigor chemometrics |
topic |
Gossypium hirsutum L. vigor chemometrics |
description |
Abstract: This study aimed to evaluate the near-infrared spectroscopy potential in analyzing the quality of cottonseed regarding different physiological quality levels, noting the need for faster techniques and tools to aid decision making. It was used eight samples of cottonseed with and without lint, presenting different physiological quality. The “high” (lots 1, 4, 5, 6 and 7) and “low” (lots 2, 3 and 8) vigor levels were defined based on vigor tests carried out and on the Normative Instruction 45/2013. The near infrared spectroscopy spectra was obtained from four types of sample preparations: whole seeds, cut in a half, without tegument and grounded seeds. Using the spectra and the grouping of lots in high and low vigor, cross validation models were optimized, built using the PLS - DA method, making it possible to predict seed classes. Grounded seeds were the best type of sample preparation, with 95% of correct predictions for high vigor seeds and 100% of low vigor (both for seeds with lint) and with 100% correct predictions for high vigor seeds and 91.7% low vigor (without lint). |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S2317-15372020000100114 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100114 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2317-1545v42227169 |
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 |
ABRATES - Associação Brasileira de Tecnologia de Sementes |
publisher.none.fl_str_mv |
ABRATES - Associação Brasileira de Tecnologia de Sementes |
dc.source.none.fl_str_mv |
Journal of Seed Science v.42 2020 reponame:Journal of Seed Science instname:Associação Brasileira de Tecnologia de Sementes (ABRATES) instacron:ABRATES |
instname_str |
Associação Brasileira de Tecnologia de Sementes (ABRATES) |
instacron_str |
ABRATES |
institution |
ABRATES |
reponame_str |
Journal of Seed Science |
collection |
Journal of Seed Science |
repository.name.fl_str_mv |
Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES) |
repository.mail.fl_str_mv |
||abrates@abrates.org.br |
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1754212982947053568 |