Physiological quality in maize seeds using conventional methods and NIR spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
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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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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1799770041740165120 |