Rice seeds vigor through image processing of seedlings
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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. |
id |
UFSM-2_758440ef264e2142b8435fe0a9c83069 |
---|---|
oai_identifier_str |
oai:scielo:S0103-84782019000800200 |
network_acronym_str |
UFSM-2 |
network_name_str |
Ciência rural (Online) |
repository_id_str |
|
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 |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140553915695104 |