Vigor-S, a new system for evaluating the physiological potential of maize seeds

Detalhes bibliográficos
Autor(a) principal: Castan, Danielle Otte Carrara
Data de Publicação: 2018
Outros Autores: Gomes-Junior, Francisco Guilhien, Marcos-Filho, Julio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/141405
Resumo: The refinement of vigor tests and the possibility of utilizing computer resources for the effective evaluation of the seed physiological potential have attracted considerable interest from research and seed technologists. The aim of this study was to evaluate the physiological potential of maize seeds using the newly-created Automated Analysis of Seed Vigor System (Vigor-S) compared with other recommended seed vigor tests; two maize hybrids were used, each represented by seven seed lots. Germination and vigor (cold test, saturated salt accelerated aging, and field seedling emergence) evaluations were conducted. For the evaluation of seed vigor with the use of seedling image analysis resources, two systems were compared: the Seed Vigor Imaging System (SVIS®), developed by Ohio State University, USA and the Vigor-S, resulting from collaboration between USP/ESALQ and EMBRAPA (Embrapa Instrumentation). Using these two systems, three day old seedlings were scanned and the images were analyzed. Similar results for the vigor index, uniformity of development, and seedling length were obtained. The computerized image analysis of seedlings using Vigor-S has advantages with respect to accuracy, speed, and the possibility of automatic application to a worksheet. It is a consistent alternative for the evaluation of maize seed vigor, and produces information compatible with that obtained by the accelerated aging test and SVIS®.
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spelling Vigor-S, a new system for evaluating the physiological potential of maize seedsZea mays L.image analysiscomputer visionseedling vigor The refinement of vigor tests and the possibility of utilizing computer resources for the effective evaluation of the seed physiological potential have attracted considerable interest from research and seed technologists. The aim of this study was to evaluate the physiological potential of maize seeds using the newly-created Automated Analysis of Seed Vigor System (Vigor-S) compared with other recommended seed vigor tests; two maize hybrids were used, each represented by seven seed lots. Germination and vigor (cold test, saturated salt accelerated aging, and field seedling emergence) evaluations were conducted. For the evaluation of seed vigor with the use of seedling image analysis resources, two systems were compared: the Seed Vigor Imaging System (SVIS®), developed by Ohio State University, USA and the Vigor-S, resulting from collaboration between USP/ESALQ and EMBRAPA (Embrapa Instrumentation). Using these two systems, three day old seedlings were scanned and the images were analyzed. Similar results for the vigor index, uniformity of development, and seedling length were obtained. The computerized image analysis of seedlings using Vigor-S has advantages with respect to accuracy, speed, and the possibility of automatic application to a worksheet. It is a consistent alternative for the evaluation of maize seed vigor, and produces information compatible with that obtained by the accelerated aging test and SVIS®.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2018-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/14140510.1590/1678-992x-2016-0401Scientia Agricola; v. 75 n. 2 (2018); 167-172Scientia Agricola; Vol. 75 Núm. 2 (2018); 167-172Scientia Agricola; Vol. 75 No. 2 (2018); 167-1721678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/141405/136435Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessCastan, Danielle Otte CarraraGomes-Junior, Francisco GuilhienMarcos-Filho, Julio2017-12-07T19:20:08Zoai:revistas.usp.br:article/141405Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-12-07T19:20:08Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Vigor-S, a new system for evaluating the physiological potential of maize seeds
title Vigor-S, a new system for evaluating the physiological potential of maize seeds
spellingShingle Vigor-S, a new system for evaluating the physiological potential of maize seeds
Castan, Danielle Otte Carrara
Zea mays L.
image analysis
computer vision
seedling vigor
title_short Vigor-S, a new system for evaluating the physiological potential of maize seeds
title_full Vigor-S, a new system for evaluating the physiological potential of maize seeds
title_fullStr Vigor-S, a new system for evaluating the physiological potential of maize seeds
title_full_unstemmed Vigor-S, a new system for evaluating the physiological potential of maize seeds
title_sort Vigor-S, a new system for evaluating the physiological potential of maize seeds
author Castan, Danielle Otte Carrara
author_facet Castan, Danielle Otte Carrara
Gomes-Junior, Francisco Guilhien
Marcos-Filho, Julio
author_role author
author2 Gomes-Junior, Francisco Guilhien
Marcos-Filho, Julio
author2_role author
author
dc.contributor.author.fl_str_mv Castan, Danielle Otte Carrara
Gomes-Junior, Francisco Guilhien
Marcos-Filho, Julio
dc.subject.por.fl_str_mv Zea mays L.
image analysis
computer vision
seedling vigor
topic Zea mays L.
image analysis
computer vision
seedling vigor
description The refinement of vigor tests and the possibility of utilizing computer resources for the effective evaluation of the seed physiological potential have attracted considerable interest from research and seed technologists. The aim of this study was to evaluate the physiological potential of maize seeds using the newly-created Automated Analysis of Seed Vigor System (Vigor-S) compared with other recommended seed vigor tests; two maize hybrids were used, each represented by seven seed lots. Germination and vigor (cold test, saturated salt accelerated aging, and field seedling emergence) evaluations were conducted. For the evaluation of seed vigor with the use of seedling image analysis resources, two systems were compared: the Seed Vigor Imaging System (SVIS®), developed by Ohio State University, USA and the Vigor-S, resulting from collaboration between USP/ESALQ and EMBRAPA (Embrapa Instrumentation). Using these two systems, three day old seedlings were scanned and the images were analyzed. Similar results for the vigor index, uniformity of development, and seedling length were obtained. The computerized image analysis of seedlings using Vigor-S has advantages with respect to accuracy, speed, and the possibility of automatic application to a worksheet. It is a consistent alternative for the evaluation of maize seed vigor, and produces information compatible with that obtained by the accelerated aging test and SVIS®.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-01
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 https://www.revistas.usp.br/sa/article/view/141405
10.1590/1678-992x-2016-0401
url https://www.revistas.usp.br/sa/article/view/141405
identifier_str_mv 10.1590/1678-992x-2016-0401
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/141405/136435
dc.rights.driver.fl_str_mv Copyright (c) 2017 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 75 n. 2 (2018); 167-172
Scientia Agricola; Vol. 75 Núm. 2 (2018); 167-172
Scientia Agricola; Vol. 75 No. 2 (2018); 167-172
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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