Image analysis of the seeds and seedlings of Vigna radiata L.

Detalhes bibliográficos
Autor(a) principal: Abud,Haynna Fernandes
Data de Publicação: 2022
Outros Autores: Mesquita,Cicera Manuele de Souza, Sarmento,Erivanessa Costa Sousa, Melo,Raylson de Sá, Lima,Kelly Andressa Peres de, Silva,Ana Kelly Firmino da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100412
Resumo: ABSTRACT In a griculture it is essential to use high-quality seeds capable of expressing their maximum vigour. Image analysis has been used to assess the quality of seed batches. The aim of this study was to characterise seedling growth in the mung bean and the external morphology of the seeds using image analysis, and identify the morphological characteristics associated with high physiological potential. The trial was conducted using two accessions of the mung bean (yellow and green). The 1000-seed weight and germination test were carried out in an initial characterisation. Using image analysis, the following parameters were evaluated in the seeds: area, perimeter, colour, circularity, length and width. In the seedlings, the length and dry matter of the shoots and root system were evaluated together with the total dry matter. A germination of 100% and 89.5%, and 1000-seed weight of 54.91 g and 35.49 g were found for the yellow and green mung beans. In the yellow mung bean, the largest seeds showed a direct relationship with the other morphological parameters of the seeds in addition to a strong relationship between the length of the shoots and the root system. In the green mung bean, there was a direct relationship between seed area and perimeter, length, width and colour; however, the best seedling performance was found in the smaller seeds. The use of image analysis makes it possible to identify seeds of greater physiological potential, which allows more-vigorous batches of mung bean seeds to be selected.
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spelling Image analysis of the seeds and seedlings of Vigna radiata L.Physiological potentialMorphological characteristicsPhysical attributesABSTRACT In a griculture it is essential to use high-quality seeds capable of expressing their maximum vigour. Image analysis has been used to assess the quality of seed batches. The aim of this study was to characterise seedling growth in the mung bean and the external morphology of the seeds using image analysis, and identify the morphological characteristics associated with high physiological potential. The trial was conducted using two accessions of the mung bean (yellow and green). The 1000-seed weight and germination test were carried out in an initial characterisation. Using image analysis, the following parameters were evaluated in the seeds: area, perimeter, colour, circularity, length and width. In the seedlings, the length and dry matter of the shoots and root system were evaluated together with the total dry matter. A germination of 100% and 89.5%, and 1000-seed weight of 54.91 g and 35.49 g were found for the yellow and green mung beans. In the yellow mung bean, the largest seeds showed a direct relationship with the other morphological parameters of the seeds in addition to a strong relationship between the length of the shoots and the root system. In the green mung bean, there was a direct relationship between seed area and perimeter, length, width and colour; however, the best seedling performance was found in the smaller seeds. The use of image analysis makes it possible to identify seeds of greater physiological potential, which allows more-vigorous batches of mung bean seeds to be selected.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100412Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220012info:eu-repo/semantics/openAccessAbud,Haynna FernandesMesquita,Cicera Manuele de SouzaSarmento,Erivanessa Costa SousaMelo,Raylson de SáLima,Kelly Andressa Peres deSilva,Ana Kelly Firmino daeng2022-01-07T00:00:00Zoai:scielo:S1806-66902022000100412Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-01-07T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Image analysis of the seeds and seedlings of Vigna radiata L.
title Image analysis of the seeds and seedlings of Vigna radiata L.
spellingShingle Image analysis of the seeds and seedlings of Vigna radiata L.
Abud,Haynna Fernandes
Physiological potential
Morphological characteristics
Physical attributes
title_short Image analysis of the seeds and seedlings of Vigna radiata L.
title_full Image analysis of the seeds and seedlings of Vigna radiata L.
title_fullStr Image analysis of the seeds and seedlings of Vigna radiata L.
title_full_unstemmed Image analysis of the seeds and seedlings of Vigna radiata L.
title_sort Image analysis of the seeds and seedlings of Vigna radiata L.
author Abud,Haynna Fernandes
author_facet Abud,Haynna Fernandes
Mesquita,Cicera Manuele de Souza
Sarmento,Erivanessa Costa Sousa
Melo,Raylson de Sá
Lima,Kelly Andressa Peres de
Silva,Ana Kelly Firmino da
author_role author
author2 Mesquita,Cicera Manuele de Souza
Sarmento,Erivanessa Costa Sousa
Melo,Raylson de Sá
Lima,Kelly Andressa Peres de
Silva,Ana Kelly Firmino da
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Abud,Haynna Fernandes
Mesquita,Cicera Manuele de Souza
Sarmento,Erivanessa Costa Sousa
Melo,Raylson de Sá
Lima,Kelly Andressa Peres de
Silva,Ana Kelly Firmino da
dc.subject.por.fl_str_mv Physiological potential
Morphological characteristics
Physical attributes
topic Physiological potential
Morphological characteristics
Physical attributes
description ABSTRACT In a griculture it is essential to use high-quality seeds capable of expressing their maximum vigour. Image analysis has been used to assess the quality of seed batches. The aim of this study was to characterise seedling growth in the mung bean and the external morphology of the seeds using image analysis, and identify the morphological characteristics associated with high physiological potential. The trial was conducted using two accessions of the mung bean (yellow and green). The 1000-seed weight and germination test were carried out in an initial characterisation. Using image analysis, the following parameters were evaluated in the seeds: area, perimeter, colour, circularity, length and width. In the seedlings, the length and dry matter of the shoots and root system were evaluated together with the total dry matter. A germination of 100% and 89.5%, and 1000-seed weight of 54.91 g and 35.49 g were found for the yellow and green mung beans. In the yellow mung bean, the largest seeds showed a direct relationship with the other morphological parameters of the seeds in addition to a strong relationship between the length of the shoots and the root system. In the green mung bean, there was a direct relationship between seed area and perimeter, length, width and colour; however, the best seedling performance was found in the smaller seeds. The use of image analysis makes it possible to identify seeds of greater physiological potential, which allows more-vigorous batches of mung bean seeds to be selected.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S1806-66902022000100412
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100412
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20220012
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 do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.53 2022
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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