Vigor-S, a new system for evaluating the physiological potential of maize seeds
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
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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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 |
_version_ |
1800222793342648320 |