Computerized image analysis of seedlings to evaluate broccoli seed vigor

Detalhes bibliográficos
Autor(a) principal: Abud,Haynna Fernandes
Data de Publicação: 2017
Outros Autores: Cicero,Silvio Moure, Gomes Junior,Francisco Guilhien
Tipo de documento: Relatório
Idioma: eng
Título da fonte: Journal of Seed Science
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372017000300303
Resumo: Abstract: The computerized image analysis of seedlings constitutes an efficient technique to evaluate the quality of seed lots, since it is quick in responding, has a simple execution and reproduction. The goal of this research was to verify the efficiency of the computer image analysis of seedlings to detect vigor differences among broccoli seed lots and compare them with other traditionally used vigor tests. Computerized image analysis were performed by the Seed Vigor Imaging System (SVIS®), using 3-day-old seedlings and the results were compared to germination at first count, seedling emergence, accelerated aging and electrical conductivity tests. Evaluations were performed in three experimental periods (before storage, 6 and 12 months of storage at 20 °C and 45-50% RH). A completely randomized design with eight replications of 25 seeds was used. Data were submitted to analysis of variance and means were compared by Scott-Knott test at 5% error probability. It is concluded that it is possible to detect vigor differences among broccoli seed lots by the computerized image analysis of seedlings with SVIS®, similarly to traditional vigor tests.
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spelling Computerized image analysis of seedlings to evaluate broccoli seed vigorBrassica oleraceae L.seedling lengthvigorAbstract: The computerized image analysis of seedlings constitutes an efficient technique to evaluate the quality of seed lots, since it is quick in responding, has a simple execution and reproduction. The goal of this research was to verify the efficiency of the computer image analysis of seedlings to detect vigor differences among broccoli seed lots and compare them with other traditionally used vigor tests. Computerized image analysis were performed by the Seed Vigor Imaging System (SVIS®), using 3-day-old seedlings and the results were compared to germination at first count, seedling emergence, accelerated aging and electrical conductivity tests. Evaluations were performed in three experimental periods (before storage, 6 and 12 months of storage at 20 °C and 45-50% RH). A completely randomized design with eight replications of 25 seeds was used. Data were submitted to analysis of variance and means were compared by Scott-Knott test at 5% error probability. It is concluded that it is possible to detect vigor differences among broccoli seed lots by the computerized image analysis of seedlings with SVIS®, similarly to traditional vigor tests.ABRATES - Associação Brasileira de Tecnologia de Sementes2017-09-01info:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372017000300303Journal of Seed Science v.39 n.3 2017reponame:Journal of Seed Scienceinstname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABRATES10.1590/2317-1545v39n3174582info:eu-repo/semantics/openAccessAbud,Haynna FernandesCicero,Silvio MoureGomes Junior,Francisco Guilhieneng2017-11-16T00:00:00Zoai:scielo:S2317-15372017000300303Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2317-1537&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br2317-15452317-1537opendoar:2017-11-16T00:00Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)false
dc.title.none.fl_str_mv Computerized image analysis of seedlings to evaluate broccoli seed vigor
title Computerized image analysis of seedlings to evaluate broccoli seed vigor
spellingShingle Computerized image analysis of seedlings to evaluate broccoli seed vigor
Abud,Haynna Fernandes
Brassica oleraceae L.
seedling length
vigor
title_short Computerized image analysis of seedlings to evaluate broccoli seed vigor
title_full Computerized image analysis of seedlings to evaluate broccoli seed vigor
title_fullStr Computerized image analysis of seedlings to evaluate broccoli seed vigor
title_full_unstemmed Computerized image analysis of seedlings to evaluate broccoli seed vigor
title_sort Computerized image analysis of seedlings to evaluate broccoli seed vigor
author Abud,Haynna Fernandes
author_facet Abud,Haynna Fernandes
Cicero,Silvio Moure
Gomes Junior,Francisco Guilhien
author_role author
author2 Cicero,Silvio Moure
Gomes Junior,Francisco Guilhien
author2_role author
author
dc.contributor.author.fl_str_mv Abud,Haynna Fernandes
Cicero,Silvio Moure
Gomes Junior,Francisco Guilhien
dc.subject.por.fl_str_mv Brassica oleraceae L.
seedling length
vigor
topic Brassica oleraceae L.
seedling length
vigor
description Abstract: The computerized image analysis of seedlings constitutes an efficient technique to evaluate the quality of seed lots, since it is quick in responding, has a simple execution and reproduction. The goal of this research was to verify the efficiency of the computer image analysis of seedlings to detect vigor differences among broccoli seed lots and compare them with other traditionally used vigor tests. Computerized image analysis were performed by the Seed Vigor Imaging System (SVIS®), using 3-day-old seedlings and the results were compared to germination at first count, seedling emergence, accelerated aging and electrical conductivity tests. Evaluations were performed in three experimental periods (before storage, 6 and 12 months of storage at 20 °C and 45-50% RH). A completely randomized design with eight replications of 25 seeds was used. Data were submitted to analysis of variance and means were compared by Scott-Knott test at 5% error probability. It is concluded that it is possible to detect vigor differences among broccoli seed lots by the computerized image analysis of seedlings with SVIS®, similarly to traditional vigor tests.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372017000300303
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2317-1545v39n3174582
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
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 v.39 n.3 2017
reponame:Journal of Seed Science
instname:Associação Brasileira de Tecnologia de Sementes (ABRATES)
instacron:ABRATES
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reponame_str Journal of Seed Science
collection Journal of Seed Science
repository.name.fl_str_mv Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)
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