Radiographic analysis in castor bean seeds (Ricinus communis L.)
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Sementes (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-31222010000100019 |
Resumo: | Castor bean cropping has great social and economic value, but its production has been affected by factors such as low quality seeds used for sowing. The quick and precise evaluation of seed quality by x-ray test is known as an effective method to evaluate seed lots, but little is known about the interpretation between of the type of radiographic image and the seed quality correlation. The potential of x-ray analysis as a marker of seed physiological quality and as an initial process for the implementation of the use of computer-assisted image analysis was investigated using castor bean seeds of the different cultivars. The seeds were classified according to internal morphology visualized in the radiography and subjected to the germination test, emergency and seedling growth rate. It was possible to identify the different types of internal tissues, morphological and physical damage in castor bean seeds using the x-ray test. Tissues generating translucent images, embryo deformation, or tissues with less than 50% of endosperm reserves or spotted, negatively affected the physiological potential of the seed lots. Radiographic analysis is effective as an instrument to improve castor bean seed lot quality. This non destructive analysis allows the prediction of seedling performance and enabled the selection of high-quality seeds under the standards of a sustainable and precision agriculture |
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Radiographic analysis in castor bean seeds (Ricinus communis L.)image analysisx-rayseed qualityCastor bean cropping has great social and economic value, but its production has been affected by factors such as low quality seeds used for sowing. The quick and precise evaluation of seed quality by x-ray test is known as an effective method to evaluate seed lots, but little is known about the interpretation between of the type of radiographic image and the seed quality correlation. The potential of x-ray analysis as a marker of seed physiological quality and as an initial process for the implementation of the use of computer-assisted image analysis was investigated using castor bean seeds of the different cultivars. The seeds were classified according to internal morphology visualized in the radiography and subjected to the germination test, emergency and seedling growth rate. It was possible to identify the different types of internal tissues, morphological and physical damage in castor bean seeds using the x-ray test. Tissues generating translucent images, embryo deformation, or tissues with less than 50% of endosperm reserves or spotted, negatively affected the physiological potential of the seed lots. Radiographic analysis is effective as an instrument to improve castor bean seed lot quality. This non destructive analysis allows the prediction of seedling performance and enabled the selection of high-quality seeds under the standards of a sustainable and precision agricultureAssociação Brasileira de Tecnologia de Sementes2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-31222010000100019Revista Brasileira de Sementes v.32 n.1 2010reponame:Revista Brasileira de Sementes (Online)instname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABTS10.1590/S0101-31222010000100019info:eu-repo/semantics/openAccessCarvalho,Maria Laene Moreira deAlves,Renato AugustoOliveira,Luciana Magda De.eng2010-05-13T00:00:00Zoai:scielo:S0101-31222010000100019Revistahttp://www.abrates.org.br/portal/revista/ONGhttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br1806-99750101-3122opendoar:2010-05-13T00:00Revista Brasileira de Sementes (Online) - Associação Brasileira de Tecnologia de Sementes (ABRATES)false |
dc.title.none.fl_str_mv |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
title |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
spellingShingle |
Radiographic analysis in castor bean seeds (Ricinus communis L.) Carvalho,Maria Laene Moreira de image analysis x-ray seed quality |
title_short |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
title_full |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
title_fullStr |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
title_full_unstemmed |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
title_sort |
Radiographic analysis in castor bean seeds (Ricinus communis L.) |
author |
Carvalho,Maria Laene Moreira de |
author_facet |
Carvalho,Maria Laene Moreira de Alves,Renato Augusto Oliveira,Luciana Magda De. |
author_role |
author |
author2 |
Alves,Renato Augusto Oliveira,Luciana Magda De. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Carvalho,Maria Laene Moreira de Alves,Renato Augusto Oliveira,Luciana Magda De. |
dc.subject.por.fl_str_mv |
image analysis x-ray seed quality |
topic |
image analysis x-ray seed quality |
description |
Castor bean cropping has great social and economic value, but its production has been affected by factors such as low quality seeds used for sowing. The quick and precise evaluation of seed quality by x-ray test is known as an effective method to evaluate seed lots, but little is known about the interpretation between of the type of radiographic image and the seed quality correlation. The potential of x-ray analysis as a marker of seed physiological quality and as an initial process for the implementation of the use of computer-assisted image analysis was investigated using castor bean seeds of the different cultivars. The seeds were classified according to internal morphology visualized in the radiography and subjected to the germination test, emergency and seedling growth rate. It was possible to identify the different types of internal tissues, morphological and physical damage in castor bean seeds using the x-ray test. Tissues generating translucent images, embryo deformation, or tissues with less than 50% of endosperm reserves or spotted, negatively affected the physiological potential of the seed lots. Radiographic analysis is effective as an instrument to improve castor bean seed lot quality. This non destructive analysis allows the prediction of seedling performance and enabled the selection of high-quality seeds under the standards of a sustainable and precision agriculture |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01 |
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=S0101-31222010000100019 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-31222010000100019 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0101-31222010000100019 |
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 |
Associação Brasileira de Tecnologia de Sementes |
publisher.none.fl_str_mv |
Associação Brasileira de Tecnologia de Sementes |
dc.source.none.fl_str_mv |
Revista Brasileira de Sementes v.32 n.1 2010 reponame:Revista Brasileira de Sementes (Online) instname:Associação Brasileira de Tecnologia de Sementes (ABRATES) instacron:ABTS |
instname_str |
Associação Brasileira de Tecnologia de Sementes (ABRATES) |
instacron_str |
ABTS |
institution |
ABTS |
reponame_str |
Revista Brasileira de Sementes (Online) |
collection |
Revista Brasileira de Sementes (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Sementes (Online) - Associação Brasileira de Tecnologia de Sementes (ABRATES) |
repository.mail.fl_str_mv |
||abrates@abrates.org.br |
_version_ |
1754820949003206656 |