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: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/42386 |
Resumo: | 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 evaluationUso da espectroscopia no infravermelho próximo na avaliação da qualidade fisiológica de sementes de algodãoGossypium hirsutum L.Seeds - VigorChemometricsSementes - VigorAlgodoeiro - SementesQuimiometriaThis 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).Este trabalho foi conduzido com o objetivo de avaliar o potencial da espectrometria no infravermelho próximo para analisar a qualidade de sementes de algodão em função de diferentes níveis de vigor, visto a necessidade por técnicas e ferramentas mais rápidas para o auxílio na tomada de decisão . Foram utilizadas oito amostras referentes a oito lotes de semente de algodão, com e sem línter, de qualidades fisiológicas diferentes. Foram definidos os níveis “alto” (lotes 1, 4, 5, 6 e 7) e “baixo” (lotes 2, 3 e 8) de vigor, baseados em diferentes testes de vigor realizados e na Instrução Normativa 45/2013. Os espectros obtidos pelo equipamento de espectroscopia no infravermelho próximo foram provenientes de quatro preparos de amostra: sementes inteiras, cortadas, sem tegumento e maceradas. Utilizando-se dos espectros gerados e o agrupamento dos lotes em níveis, foram otimizados modelos de validação cruzada, construídos a partir do método PLS - DA, predizendo as classes de sementes. O melhor preparo de amostra foi o de sementes maceradas, com 95% de predições corretas para sementes de alto vigor e 100% das de baixo vigor (com línter) e com 100% de predições corretas para sementes de alto vigor e 91,7% de baixo vigor (sem línter).ABRATES - Associação Brasileira de Tecnologia de Sementes2020-08-12T18:43:00Z2020-08-12T18:43:00Z2020-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMAYRINCK, L. G. et al. Use of near infrared spectroscopy in cotton seeds physiological quality evaluation. Journal of Seed Science, Londrina, v. 42, 2020. DOI: http://dx.doi.org/10.1590/2317-1545v42227169.http://repositorio.ufla.br/jspui/handle/1/42386Journal of Seed Sciencereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMayrinck, Lívia GiroLima, Juliana Maria EspíndolaGuimarães, Gabriel CastanheiraNunes, Cleiton AntônioOliveira, João Almireng2020-08-12T18:43:30Zoai:localhost:1/42386Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-08-12T18:43:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Use of near infrared spectroscopy in cotton seeds physiological quality evaluation Uso da espectroscopia no infravermelho próximo na avaliação da qualidade fisiológica de sementes de algodão |
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. Seeds - Vigor Chemometrics Sementes - Vigor Algodoeiro - Sementes Quimiometria |
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. Seeds - Vigor Chemometrics Sementes - Vigor Algodoeiro - Sementes Quimiometria |
topic |
Gossypium hirsutum L. Seeds - Vigor Chemometrics Sementes - Vigor Algodoeiro - Sementes Quimiometria |
description |
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 |
2020-08-12T18:43:00Z 2020-08-12T18:43:00Z 2020-05 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
MAYRINCK, L. G. et al. Use of near infrared spectroscopy in cotton seeds physiological quality evaluation. Journal of Seed Science, Londrina, v. 42, 2020. DOI: http://dx.doi.org/10.1590/2317-1545v42227169. http://repositorio.ufla.br/jspui/handle/1/42386 |
identifier_str_mv |
MAYRINCK, L. G. et al. Use of near infrared spectroscopy in cotton seeds physiological quality evaluation. Journal of Seed Science, Londrina, v. 42, 2020. DOI: http://dx.doi.org/10.1590/2317-1545v42227169. |
url |
http://repositorio.ufla.br/jspui/handle/1/42386 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1784549952527007744 |