Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/2317-1545v43245215 http://hdl.handle.net/11449/206113 |
Resumo: | The use of computational tools has become notable in seed quality control to assist in confirming seed lots of higher potential. Thus, the aim of this study was to use a computational approach to investigate analysis of morphological parameters that characterize primary root emergence in evaluation of tomato seed vigor. For that purpose, five seed lots were analyzed for germination and vigor (seedling emergence and analysis of seedling images). A parallel analysis of primary root emergence was made using computer-assisted imaging; the images recorded as germination proceeded were processed with the ImageJ® software to obtain aspect ratio and seed area parameters. Vigor differences among tomato seed lots can be identified based on primary root emergence, and computer image processing based on aspect ratio proves to be an efficient procedure to characterize emergence of the primary root in evaluation of tomato seed vigor. |
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Repositório Institucional da UNESP |
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Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigorParâmetros morfológicos de processamento de imagens para caracterização da emergência da raiz primária na avaliação do vigor de sementes de tomateAspect ratioComputational toPhysiological potentialSolanum lycopersicumThe use of computational tools has become notable in seed quality control to assist in confirming seed lots of higher potential. Thus, the aim of this study was to use a computational approach to investigate analysis of morphological parameters that characterize primary root emergence in evaluation of tomato seed vigor. For that purpose, five seed lots were analyzed for germination and vigor (seedling emergence and analysis of seedling images). A parallel analysis of primary root emergence was made using computer-assisted imaging; the images recorded as germination proceeded were processed with the ImageJ® software to obtain aspect ratio and seed area parameters. Vigor differences among tomato seed lots can be identified based on primary root emergence, and computer image processing based on aspect ratio proves to be an efficient procedure to characterize emergence of the primary root in evaluation of tomato seed vigor.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Departamento de Produção Vegetal Universidade Estadual Paulista (UNESP)Universidade Federal Rural do Rio de Janeiro (UFRJ)Universidade de São Paulo (USP) Escola Superior de Agricultura “Luiz de Queiroz”Departamento de Produção Vegetal Universidade Estadual Paulista (UNESP)FAPESP: 2015/24008-6FAPESP: 2018/13139-0Universidade Estadual Paulista (Unesp)Universidade Federal do Rio de Janeiro (UFRJ)Universidade de São Paulo (USP)de Oliveira, Gustavo Roberto Fonseca [UNESP]de Salles, Felipe Kuhn LeãoBatista, Thiago Barbosa [UNESP]da Silva, Marcio SouzaCicero, Silvio MoureGomes-Junior, Francisco Guilhien2021-06-25T10:26:44Z2021-06-25T10:26:44Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1590/2317-1545v43245215Journal of Seed Science, v. 43.2317-1537http://hdl.handle.net/11449/20611310.1590/2317-1545v43245215S2317-153720210001001052-s2.0-85103282698S2317-15372021000100105.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Seed Scienceinfo:eu-repo/semantics/openAccess2024-01-04T06:29:47Zoai:repositorio.unesp.br:11449/206113Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:08:35.291833Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor Parâmetros morfológicos de processamento de imagens para caracterização da emergência da raiz primária na avaliação do vigor de sementes de tomate |
title |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor |
spellingShingle |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor de Oliveira, Gustavo Roberto Fonseca [UNESP] Aspect ratio Computational to Physiological potential Solanum lycopersicum |
title_short |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor |
title_full |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor |
title_fullStr |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor |
title_full_unstemmed |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor |
title_sort |
Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor |
author |
de Oliveira, Gustavo Roberto Fonseca [UNESP] |
author_facet |
de Oliveira, Gustavo Roberto Fonseca [UNESP] de Salles, Felipe Kuhn Leão Batista, Thiago Barbosa [UNESP] da Silva, Marcio Souza Cicero, Silvio Moure Gomes-Junior, Francisco Guilhien |
author_role |
author |
author2 |
de Salles, Felipe Kuhn Leão Batista, Thiago Barbosa [UNESP] da Silva, Marcio Souza Cicero, Silvio Moure Gomes-Junior, Francisco Guilhien |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal do Rio de Janeiro (UFRJ) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
de Oliveira, Gustavo Roberto Fonseca [UNESP] de Salles, Felipe Kuhn Leão Batista, Thiago Barbosa [UNESP] da Silva, Marcio Souza Cicero, Silvio Moure Gomes-Junior, Francisco Guilhien |
dc.subject.por.fl_str_mv |
Aspect ratio Computational to Physiological potential Solanum lycopersicum |
topic |
Aspect ratio Computational to Physiological potential Solanum lycopersicum |
description |
The use of computational tools has become notable in seed quality control to assist in confirming seed lots of higher potential. Thus, the aim of this study was to use a computational approach to investigate analysis of morphological parameters that characterize primary root emergence in evaluation of tomato seed vigor. For that purpose, five seed lots were analyzed for germination and vigor (seedling emergence and analysis of seedling images). A parallel analysis of primary root emergence was made using computer-assisted imaging; the images recorded as germination proceeded were processed with the ImageJ® software to obtain aspect ratio and seed area parameters. Vigor differences among tomato seed lots can be identified based on primary root emergence, and computer image processing based on aspect ratio proves to be an efficient procedure to characterize emergence of the primary root in evaluation of tomato seed vigor. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:26:44Z 2021-06-25T10:26:44Z 2021-01-01 |
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 |
http://dx.doi.org/10.1590/2317-1545v43245215 Journal of Seed Science, v. 43. 2317-1537 http://hdl.handle.net/11449/206113 10.1590/2317-1545v43245215 S2317-15372021000100105 2-s2.0-85103282698 S2317-15372021000100105.pdf |
url |
http://dx.doi.org/10.1590/2317-1545v43245215 http://hdl.handle.net/11449/206113 |
identifier_str_mv |
Journal of Seed Science, v. 43. 2317-1537 10.1590/2317-1545v43245215 S2317-15372021000100105 2-s2.0-85103282698 S2317-15372021000100105.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Seed Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129396773486592 |