Rice seeds vigor through image processing of seedlings

Detalhes bibliográficos
Autor(a) principal: Brunes,André Pich
Data de Publicação: 2019
Outros Autores: Araújo,Ádamo de Souza, Dias,Letícia Winke, Antoniolli,Júlio, Gadotti,Gizele Ingrid, Villela,Francisco Amaral
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000800200
Resumo: ABSTRACT: The aim of this paper was to verify the viability of digital image processing in the measurement of rice seedling and its potential use as seed vigor test. The experiment took place at the Laboratório Didático de Análise de Sementes, located in Capão do Leão (RS), using seeds of eight rice cultivars: Irga 424, Puitá Inta CL, BRS Esmeralda, SCS 116, Guri Inta CL, BRS Pampa, BRSGO Serra Dourada and Olimar. An image processing system (IPS) was used to measure length and area of shoot and root as an index of seed vigor in rice seeds. The experiment design was completely randomized with five replications. The evaluated variables were root and shoot length in graded ruler and by image, root and shoot area, and field emergence. Results obtained with the IPS were correlated with other quality tests though the Pearson tests. Determination of shoot length and leaf area of the seedlings obtained through IPS is effective for assessing the vigor of rice seeds.
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spelling Rice seeds vigor through image processing of seedlingsOryza sativaseedling lengthleaf arearoot areaABSTRACT: The aim of this paper was to verify the viability of digital image processing in the measurement of rice seedling and its potential use as seed vigor test. The experiment took place at the Laboratório Didático de Análise de Sementes, located in Capão do Leão (RS), using seeds of eight rice cultivars: Irga 424, Puitá Inta CL, BRS Esmeralda, SCS 116, Guri Inta CL, BRS Pampa, BRSGO Serra Dourada and Olimar. An image processing system (IPS) was used to measure length and area of shoot and root as an index of seed vigor in rice seeds. The experiment design was completely randomized with five replications. The evaluated variables were root and shoot length in graded ruler and by image, root and shoot area, and field emergence. Results obtained with the IPS were correlated with other quality tests though the Pearson tests. Determination of shoot length and leaf area of the seedlings obtained through IPS is effective for assessing the vigor of rice seeds.Universidade Federal de Santa Maria2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000800200Ciência Rural v.49 n.8 2019reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20180107info:eu-repo/semantics/openAccessBrunes,André PichAraújo,Ádamo de SouzaDias,Letícia WinkeAntoniolli,JúlioGadotti,Gizele IngridVillela,Francisco Amaraleng2019-09-30T00:00:00ZRevista
dc.title.none.fl_str_mv Rice seeds vigor through image processing of seedlings
title Rice seeds vigor through image processing of seedlings
spellingShingle Rice seeds vigor through image processing of seedlings
Brunes,André Pich
Oryza sativa
seedling length
leaf area
root area
title_short Rice seeds vigor through image processing of seedlings
title_full Rice seeds vigor through image processing of seedlings
title_fullStr Rice seeds vigor through image processing of seedlings
title_full_unstemmed Rice seeds vigor through image processing of seedlings
title_sort Rice seeds vigor through image processing of seedlings
author Brunes,André Pich
author_facet Brunes,André Pich
Araújo,Ádamo de Souza
Dias,Letícia Winke
Antoniolli,Júlio
Gadotti,Gizele Ingrid
Villela,Francisco Amaral
author_role author
author2 Araújo,Ádamo de Souza
Dias,Letícia Winke
Antoniolli,Júlio
Gadotti,Gizele Ingrid
Villela,Francisco Amaral
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Brunes,André Pich
Araújo,Ádamo de Souza
Dias,Letícia Winke
Antoniolli,Júlio
Gadotti,Gizele Ingrid
Villela,Francisco Amaral
dc.subject.por.fl_str_mv Oryza sativa
seedling length
leaf area
root area
topic Oryza sativa
seedling length
leaf area
root area
description ABSTRACT: The aim of this paper was to verify the viability of digital image processing in the measurement of rice seedling and its potential use as seed vigor test. The experiment took place at the Laboratório Didático de Análise de Sementes, located in Capão do Leão (RS), using seeds of eight rice cultivars: Irga 424, Puitá Inta CL, BRS Esmeralda, SCS 116, Guri Inta CL, BRS Pampa, BRSGO Serra Dourada and Olimar. An image processing system (IPS) was used to measure length and area of shoot and root as an index of seed vigor in rice seeds. The experiment design was completely randomized with five replications. The evaluated variables were root and shoot length in graded ruler and by image, root and shoot area, and field emergence. Results obtained with the IPS were correlated with other quality tests though the Pearson tests. Determination of shoot length and leaf area of the seedlings obtained through IPS is effective for assessing the vigor of rice seeds.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000800200
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000800200
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20180107
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.49 n.8 2019
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
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repository.mail.fl_str_mv
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