Automated image analysis of seedlings for vigor evaluation of common bean seeds

Detalhes bibliográficos
Autor(a) principal: Gomes Junior, Francisco Guilhien
Data de Publicação: 2014
Outros Autores: Chamma, Helena Maria Carmignani Pescarin, Cicero, Silvio Moure
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/21957
Resumo: Quickly and precise evaluations of the vigor of seeds are highly desirable for the success of quality control programs applied to the seed industry. The objective of this experiment was to determine the number of days necessary to calculate the vigor index of common bean seeds using an automated system of seedling images (SVIS®), and compare its results with the traditional tests of seed vigor. Samples of five seed lots of the IAC Carioca cultivar were submitted to germination, accelerated aging, seedling emergence in sand and electrical conductivity tests. The parameters measured by the Seed Vigor Imaging System (SVIS®) were mean seedling length, growth (ratio of the actual seedling growth to the maximum possible growth), uniformity of growth and the vigor indexes 30:70, 40:60, 50:50, 60:40 and 70:30 (based on different growth/uniformity ratios), and computed from scanned images of three- and four-day-old seedlings.  Results of SVIS® analyses were consistent with the physiological potential evaluations provided by the traditional tests of seed vigor. Therefore, the SVIS® is efficient for detecting differences in vigor among seed lots of common bean (IAC Carioca cultivar) using three- or four-day-old seedlings, independently of the growth/uniformity ratios used to calculate the vigor index. 
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spelling Automated image analysis of seedlings for vigor evaluation of common bean seedsPhaseolus vulgaris L.image analysisquality controlQuickly and precise evaluations of the vigor of seeds are highly desirable for the success of quality control programs applied to the seed industry. The objective of this experiment was to determine the number of days necessary to calculate the vigor index of common bean seeds using an automated system of seedling images (SVIS®), and compare its results with the traditional tests of seed vigor. Samples of five seed lots of the IAC Carioca cultivar were submitted to germination, accelerated aging, seedling emergence in sand and electrical conductivity tests. The parameters measured by the Seed Vigor Imaging System (SVIS®) were mean seedling length, growth (ratio of the actual seedling growth to the maximum possible growth), uniformity of growth and the vigor indexes 30:70, 40:60, 50:50, 60:40 and 70:30 (based on different growth/uniformity ratios), and computed from scanned images of three- and four-day-old seedlings.  Results of SVIS® analyses were consistent with the physiological potential evaluations provided by the traditional tests of seed vigor. Therefore, the SVIS® is efficient for detecting differences in vigor among seed lots of common bean (IAC Carioca cultivar) using three- or four-day-old seedlings, independently of the growth/uniformity ratios used to calculate the vigor index. Universidade Estadual de Maringá2014-04-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2195710.4025/actasciagron.v36i2.21957Acta Scientiarum. Agronomy; Vol 36 No 2 (2014); 195-200Acta Scientiarum. Agronomy; v. 36 n. 2 (2014); 195-2001807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/21957/pdf_9Gomes Junior, Francisco GuilhienChamma, Helena Maria Carmignani PescarinCicero, Silvio Moureinfo:eu-repo/semantics/openAccess2014-05-19T11:30:57Zoai:periodicos.uem.br/ojs:article/21957Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2014-05-19T11:30:57Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Automated image analysis of seedlings for vigor evaluation of common bean seeds
title Automated image analysis of seedlings for vigor evaluation of common bean seeds
spellingShingle Automated image analysis of seedlings for vigor evaluation of common bean seeds
Gomes Junior, Francisco Guilhien
Phaseolus vulgaris L.
image analysis
quality control
title_short Automated image analysis of seedlings for vigor evaluation of common bean seeds
title_full Automated image analysis of seedlings for vigor evaluation of common bean seeds
title_fullStr Automated image analysis of seedlings for vigor evaluation of common bean seeds
title_full_unstemmed Automated image analysis of seedlings for vigor evaluation of common bean seeds
title_sort Automated image analysis of seedlings for vigor evaluation of common bean seeds
author Gomes Junior, Francisco Guilhien
author_facet Gomes Junior, Francisco Guilhien
Chamma, Helena Maria Carmignani Pescarin
Cicero, Silvio Moure
author_role author
author2 Chamma, Helena Maria Carmignani Pescarin
Cicero, Silvio Moure
author2_role author
author
dc.contributor.author.fl_str_mv Gomes Junior, Francisco Guilhien
Chamma, Helena Maria Carmignani Pescarin
Cicero, Silvio Moure
dc.subject.por.fl_str_mv Phaseolus vulgaris L.
image analysis
quality control
topic Phaseolus vulgaris L.
image analysis
quality control
description Quickly and precise evaluations of the vigor of seeds are highly desirable for the success of quality control programs applied to the seed industry. The objective of this experiment was to determine the number of days necessary to calculate the vigor index of common bean seeds using an automated system of seedling images (SVIS®), and compare its results with the traditional tests of seed vigor. Samples of five seed lots of the IAC Carioca cultivar were submitted to germination, accelerated aging, seedling emergence in sand and electrical conductivity tests. The parameters measured by the Seed Vigor Imaging System (SVIS®) were mean seedling length, growth (ratio of the actual seedling growth to the maximum possible growth), uniformity of growth and the vigor indexes 30:70, 40:60, 50:50, 60:40 and 70:30 (based on different growth/uniformity ratios), and computed from scanned images of three- and four-day-old seedlings.  Results of SVIS® analyses were consistent with the physiological potential evaluations provided by the traditional tests of seed vigor. Therefore, the SVIS® is efficient for detecting differences in vigor among seed lots of common bean (IAC Carioca cultivar) using three- or four-day-old seedlings, independently of the growth/uniformity ratios used to calculate the vigor index. 
publishDate 2014
dc.date.none.fl_str_mv 2014-04-29
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/21957
10.4025/actasciagron.v36i2.21957
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/21957
identifier_str_mv 10.4025/actasciagron.v36i2.21957
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/21957/pdf_9
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.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 36 No 2 (2014); 195-200
Acta Scientiarum. Agronomy; v. 36 n. 2 (2014); 195-200
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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