Physiological quality in maize seeds using conventional methods and NIR spectroscopy

Detalhes bibliográficos
Autor(a) principal: Molina Alvarez, Richard Alcides
Data de Publicação: 2022
Outros Autores: Catia Pereira Uchoa, Sandra, Castanheira Guimarães, Gabriel, Augusto Schurt, Daniel, da Silva Maia, Sonicley, Vieria de Sousa, Natalia, Beatríz Quevedo Andino, Hilda
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agro@mbiente on-line
Texto Completo: https://revista.ufrr.br/agroambiente/article/view/7403
Resumo: Maize is one of the most important cereals, and stands out for its wide genetic diversity, adaptation to the most diverse climate conditions, and being, both directly and indirectly, the most basic food source of man. Globally, production is dependent on seed quality. Known methodologies for evaluating seed quality require improvement in developing technologies capable of achieving, in less time, results for the targets under evaluation. The aim of this study, therefore, was to compare conventional vigour testing with the ability of NIR technology to classify the physiological quality of maize seeds, cv. DKB-290-HS. For the experiment, which was conducted in a completely randomised design (CRD), six Batches of 200 seeds were used, with four replications. Conventional methods of evaluating seed vigour were used in the study. For the evaluation using the near-infrared (NIR) method, the seeds were placed with the embryo facing the source of electromagnetic waves. The resulting spectra were analysed by the Pirouette software using the PLS-DA method. The conventional methods for vigour, and the NIR technique both efficiently detected the levels of physiological quality. NIR also revealed the differences between Batches, classifying the physiological quality of maize seeds, cv. DKB-290-HS, into different levels quickly and efficiently.
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spelling Physiological quality in maize seeds using conventional methods and NIR spectroscopyIntact seed. Seed analysis. Vigour testing. Zea mays.Maize is one of the most important cereals, and stands out for its wide genetic diversity, adaptation to the most diverse climate conditions, and being, both directly and indirectly, the most basic food source of man. Globally, production is dependent on seed quality. Known methodologies for evaluating seed quality require improvement in developing technologies capable of achieving, in less time, results for the targets under evaluation. The aim of this study, therefore, was to compare conventional vigour testing with the ability of NIR technology to classify the physiological quality of maize seeds, cv. DKB-290-HS. For the experiment, which was conducted in a completely randomised design (CRD), six Batches of 200 seeds were used, with four replications. Conventional methods of evaluating seed vigour were used in the study. For the evaluation using the near-infrared (NIR) method, the seeds were placed with the embryo facing the source of electromagnetic waves. The resulting spectra were analysed by the Pirouette software using the PLS-DA method. The conventional methods for vigour, and the NIR technique both efficiently detected the levels of physiological quality. NIR also revealed the differences between Batches, classifying the physiological quality of maize seeds, cv. DKB-290-HS, into different levels quickly and efficiently.UFRR2022-04-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/740310.18227/1982-8470ragro.v17i00.7403AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 17 (2023); 1-15REVISTA AGRO@MBIENTE ON-LINE; Vol. 17 (2023); 1-15REVISTA AGRO@MBIENTE ON-LINE; v. 17 (2023); 1-151982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/7403/3809Copyright (c) 2023 REVISTA AGRO@MBIENTE ON-LINEhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessMolina Alvarez, Richard AlcidesCatia Pereira Uchoa, SandraCastanheira Guimarães, GabrielAugusto Schurt, Danielda Silva Maia, SonicleyVieria de Sousa, NataliaBeatríz Quevedo Andino, Hilda2023-11-29T18:23:03Zoai:oai.revista.ufrr.br:article/7403Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2023-11-29T18:23:03Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)false
dc.title.none.fl_str_mv Physiological quality in maize seeds using conventional methods and NIR spectroscopy
title Physiological quality in maize seeds using conventional methods and NIR spectroscopy
spellingShingle Physiological quality in maize seeds using conventional methods and NIR spectroscopy
Molina Alvarez, Richard Alcides
Intact seed. Seed analysis. Vigour testing. Zea mays.
title_short Physiological quality in maize seeds using conventional methods and NIR spectroscopy
title_full Physiological quality in maize seeds using conventional methods and NIR spectroscopy
title_fullStr Physiological quality in maize seeds using conventional methods and NIR spectroscopy
title_full_unstemmed Physiological quality in maize seeds using conventional methods and NIR spectroscopy
title_sort Physiological quality in maize seeds using conventional methods and NIR spectroscopy
author Molina Alvarez, Richard Alcides
author_facet Molina Alvarez, Richard Alcides
Catia Pereira Uchoa, Sandra
Castanheira Guimarães, Gabriel
Augusto Schurt, Daniel
da Silva Maia, Sonicley
Vieria de Sousa, Natalia
Beatríz Quevedo Andino, Hilda
author_role author
author2 Catia Pereira Uchoa, Sandra
Castanheira Guimarães, Gabriel
Augusto Schurt, Daniel
da Silva Maia, Sonicley
Vieria de Sousa, Natalia
Beatríz Quevedo Andino, Hilda
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Molina Alvarez, Richard Alcides
Catia Pereira Uchoa, Sandra
Castanheira Guimarães, Gabriel
Augusto Schurt, Daniel
da Silva Maia, Sonicley
Vieria de Sousa, Natalia
Beatríz Quevedo Andino, Hilda
dc.subject.por.fl_str_mv Intact seed. Seed analysis. Vigour testing. Zea mays.
topic Intact seed. Seed analysis. Vigour testing. Zea mays.
description Maize is one of the most important cereals, and stands out for its wide genetic diversity, adaptation to the most diverse climate conditions, and being, both directly and indirectly, the most basic food source of man. Globally, production is dependent on seed quality. Known methodologies for evaluating seed quality require improvement in developing technologies capable of achieving, in less time, results for the targets under evaluation. The aim of this study, therefore, was to compare conventional vigour testing with the ability of NIR technology to classify the physiological quality of maize seeds, cv. DKB-290-HS. For the experiment, which was conducted in a completely randomised design (CRD), six Batches of 200 seeds were used, with four replications. Conventional methods of evaluating seed vigour were used in the study. For the evaluation using the near-infrared (NIR) method, the seeds were placed with the embryo facing the source of electromagnetic waves. The resulting spectra were analysed by the Pirouette software using the PLS-DA method. The conventional methods for vigour, and the NIR technique both efficiently detected the levels of physiological quality. NIR also revealed the differences between Batches, classifying the physiological quality of maize seeds, cv. DKB-290-HS, into different levels quickly and efficiently.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/7403
10.18227/1982-8470ragro.v17i00.7403
url https://revista.ufrr.br/agroambiente/article/view/7403
identifier_str_mv 10.18227/1982-8470ragro.v17i00.7403
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/7403/3809
dc.rights.driver.fl_str_mv Copyright (c) 2023 REVISTA AGRO@MBIENTE ON-LINE
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 REVISTA AGRO@MBIENTE ON-LINE
https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRR
publisher.none.fl_str_mv UFRR
dc.source.none.fl_str_mv AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 17 (2023); 1-15
REVISTA AGRO@MBIENTE ON-LINE; Vol. 17 (2023); 1-15
REVISTA AGRO@MBIENTE ON-LINE; v. 17 (2023); 1-15
1982-8470
reponame:Agro@mbiente on-line
instname:Universidade Federal de Roraima (UFRR)
instacron:UFRR
instname_str Universidade Federal de Roraima (UFRR)
instacron_str UFRR
institution UFRR
reponame_str Agro@mbiente on-line
collection Agro@mbiente on-line
repository.name.fl_str_mv Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)
repository.mail.fl_str_mv ||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br
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