Use of near infrared spectroscopy in cotton seeds physiological quality evaluation

Detalhes bibliográficos
Autor(a) principal: Mayrinck,Lívia Giro
Data de Publicação: 2020
Outros Autores: Lima,Juliana Maria Espíndola, Guimarães,Gabriel Castanheira, Nunes,Cleiton Antônio, Oliveira,João Almir
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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spelling 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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100114
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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)
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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)
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