X-ray imaging and digital processing application in non-destructive assessing of melon seed quality
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Seed Science |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100108 |
Resumo: | Abstract: Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the free and automated analysis of digital radiographs of hybrid melons’ seeds to their seeds’ physiological potential. Seeds of three hybrid melon (Cucumis melo L.) cultivars from commercial lot samples were used. Radiographic images of the seeds were obtained, from which area, perimeter, circularity, relative density, integrated density and seed filling measurements were generated by means of a macro (PhenoXray) developed for ImageJ® software. After the X-ray test, seed samples were submitted to the germination test, from which variables related to the physiological quality of the seeds were obtained. Variability between lots was observed for both physical and physiological characteristics. Results showed that the use of the PhenoXray macro allows large-scale phenotyping of seed radiographs in a simple, fast, consistent and completely free way. The methodology is efficient in obtaining morphometric and tissue integrity data of melon seeds and the generated parameters are closely related to physiological attributes of seed quality. |
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Journal of Seed Science |
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X-ray imaging and digital processing application in non-destructive assessing of melon seed qualityautomated image analysisCucumis melo L.seed radiographyrelative densityAbstract: Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the free and automated analysis of digital radiographs of hybrid melons’ seeds to their seeds’ physiological potential. Seeds of three hybrid melon (Cucumis melo L.) cultivars from commercial lot samples were used. Radiographic images of the seeds were obtained, from which area, perimeter, circularity, relative density, integrated density and seed filling measurements were generated by means of a macro (PhenoXray) developed for ImageJ® software. After the X-ray test, seed samples were submitted to the germination test, from which variables related to the physiological quality of the seeds were obtained. Variability between lots was observed for both physical and physiological characteristics. Results showed that the use of the PhenoXray macro allows large-scale phenotyping of seed radiographs in a simple, fast, consistent and completely free way. The methodology is efficient in obtaining morphometric and tissue integrity data of melon seeds and the generated parameters are closely related to physiological attributes of seed quality.ABRATES - Associação Brasileira de Tecnologia de Sementes2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100108Journal of Seed Science v.42 2020reponame:Journal of Seed Scienceinstname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABRATES10.1590/2317-1545v42229761info:eu-repo/semantics/openAccessMedeiros,André Dantas deMartins,Maycon SilvaSilva,Laércio Junio daPereira,Márcio DiasLeón,Manuel Jesús ZavalaDias,Denise Cunha Fernandes dos Santoseng2020-03-19T00:00:00Zoai:scielo:S2317-15372020000100108Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2317-1537&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br2317-15452317-1537opendoar:2020-03-19T00:00Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)false |
dc.title.none.fl_str_mv |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
title |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
spellingShingle |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality Medeiros,André Dantas de automated image analysis Cucumis melo L. seed radiography relative density |
title_short |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
title_full |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
title_fullStr |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
title_full_unstemmed |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
title_sort |
X-ray imaging and digital processing application in non-destructive assessing of melon seed quality |
author |
Medeiros,André Dantas de |
author_facet |
Medeiros,André Dantas de Martins,Maycon Silva Silva,Laércio Junio da Pereira,Márcio Dias León,Manuel Jesús Zavala Dias,Denise Cunha Fernandes dos Santos |
author_role |
author |
author2 |
Martins,Maycon Silva Silva,Laércio Junio da Pereira,Márcio Dias León,Manuel Jesús Zavala Dias,Denise Cunha Fernandes dos Santos |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Medeiros,André Dantas de Martins,Maycon Silva Silva,Laércio Junio da Pereira,Márcio Dias León,Manuel Jesús Zavala Dias,Denise Cunha Fernandes dos Santos |
dc.subject.por.fl_str_mv |
automated image analysis Cucumis melo L. seed radiography relative density |
topic |
automated image analysis Cucumis melo L. seed radiography relative density |
description |
Abstract: Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the free and automated analysis of digital radiographs of hybrid melons’ seeds to their seeds’ physiological potential. Seeds of three hybrid melon (Cucumis melo L.) cultivars from commercial lot samples were used. Radiographic images of the seeds were obtained, from which area, perimeter, circularity, relative density, integrated density and seed filling measurements were generated by means of a macro (PhenoXray) developed for ImageJ® software. After the X-ray test, seed samples were submitted to the germination test, from which variables related to the physiological quality of the seeds were obtained. Variability between lots was observed for both physical and physiological characteristics. Results showed that the use of the PhenoXray macro allows large-scale phenotyping of seed radiographs in a simple, fast, consistent and completely free way. The methodology is efficient in obtaining morphometric and tissue integrity data of melon seeds and the generated parameters are closely related to physiological attributes of seed quality. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S2317-15372020000100108 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372020000100108 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2317-1545v42229761 |
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 |
ABRATES - Associação Brasileira de Tecnologia de Sementes |
publisher.none.fl_str_mv |
ABRATES - Associação Brasileira de Tecnologia de Sementes |
dc.source.none.fl_str_mv |
Journal of Seed Science v.42 2020 reponame:Journal of Seed Science instname:Associação Brasileira de Tecnologia de Sementes (ABRATES) instacron:ABRATES |
instname_str |
Associação Brasileira de Tecnologia de Sementes (ABRATES) |
instacron_str |
ABRATES |
institution |
ABRATES |
reponame_str |
Journal of Seed Science |
collection |
Journal of Seed Science |
repository.name.fl_str_mv |
Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES) |
repository.mail.fl_str_mv |
||abrates@abrates.org.br |
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1754212982937616384 |