Morphological parameters of image processing to characterize primary root emergence in evaluation of tomato seed vigor

Detalhes bibliográficos
Autor(a) principal: de Oliveira, Gustavo Roberto Fonseca [UNESP]
Data de Publicação: 2021
Outros Autores: de Salles, Felipe Kuhn Leão, Batista, Thiago Barbosa [UNESP], da Silva, Marcio Souza, Cicero, Silvio Moure, Gomes-Junior, Francisco Guilhien
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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spelling 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:29462024-01-04T06:29:47Repositório 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_ 1799965517907230720

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