Computerized image analysis of seedlings to evaluate broccoli seed vigor
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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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 |
format |
report |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372017000300303 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372017000300303 |
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 |
eu_rights_str_mv |
openAccess |
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 |
instname_str |
Associação Brasileira de Tecnologia de Sementes (ABRATES) |
instacron_str |
ABRATES |
institution |
ABRATES |
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) |
repository.mail.fl_str_mv |
||abrates@abrates.org.br |
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1754212982487777280 |