Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/134516 |
Resumo: | Citrus seeds normally have low storability. Identifying an optimal fruit harvest time for production of high vigor seeds is important for nurseries; however, identifying this stage for Swingle citrumelo fruits has been based only on visual color examination, and research related to this parameter has been inconsistent. The main objective of this study was to evaluate a red-green-blue (RGB) color measurement system for successful identification of Swingle citrumelo fruits possessing seeds with maximum physiological potential and storability. Fruits were harvested at three ripening stages identified as green (G), greenish-yellow (GY), and yellow (Y) pericarp, photographed, and the images processed using ImageJ software. Data were expressed as the average pixel value of R, G and B color components and a mean RGB pixel value (R+G+B/3). After harvest, seeds were evaluated for water content, germination, seedling emergence, length, dry mass and vigor as measured by the Seed Vigor Imaging System - SVIS (uniformity and vigor indexes) after 0 and 5 months storage (5 °C and 65 % relative humidity). Percentage of ruptured coat seeds was also evaluated after extraction. The R color component provided the best identification of each G, GY and Y fruits. Seeds extracted from GY fruits had higher storage potential compared with seeds from G and Y fruits. Thus, precise fruit ripening classification can be generated using the RGB color system to identify the best time for harvest to obtain seeds with greater physiological and storage potential. |
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Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parametersimage analysiscomputer visionfruit maturationcitrus rootstockseedling vigorCitrus seeds normally have low storability. Identifying an optimal fruit harvest time for production of high vigor seeds is important for nurseries; however, identifying this stage for Swingle citrumelo fruits has been based only on visual color examination, and research related to this parameter has been inconsistent. The main objective of this study was to evaluate a red-green-blue (RGB) color measurement system for successful identification of Swingle citrumelo fruits possessing seeds with maximum physiological potential and storability. Fruits were harvested at three ripening stages identified as green (G), greenish-yellow (GY), and yellow (Y) pericarp, photographed, and the images processed using ImageJ software. Data were expressed as the average pixel value of R, G and B color components and a mean RGB pixel value (R+G+B/3). After harvest, seeds were evaluated for water content, germination, seedling emergence, length, dry mass and vigor as measured by the Seed Vigor Imaging System - SVIS (uniformity and vigor indexes) after 0 and 5 months storage (5 °C and 65 % relative humidity). Percentage of ruptured coat seeds was also evaluated after extraction. The R color component provided the best identification of each G, GY and Y fruits. Seeds extracted from GY fruits had higher storage potential compared with seeds from G and Y fruits. Thus, precise fruit ripening classification can be generated using the RGB color system to identify the best time for harvest to obtain seeds with greater physiological and storage potential.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/13451610.1590/1678-992x-2016-0173Scientia Agricola; v. 74 n. 5 (2017); 357-363Scientia Agricola; Vol. 74 Núm. 5 (2017); 357-363Scientia Agricola; Vol. 74 No. 5 (2017); 357-3631678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/134516/130332Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessGomes-Junior, Francisco GuilhienArruda, NatáliaMarcos-Filho, Julio2017-07-17T18:29:47Zoai:revistas.usp.br:article/134516Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-07-17T18:29:47Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
title |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
spellingShingle |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters Gomes-Junior, Francisco Guilhien image analysis computer vision fruit maturation citrus rootstock seedling vigor |
title_short |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
title_full |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
title_fullStr |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
title_full_unstemmed |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
title_sort |
Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters |
author |
Gomes-Junior, Francisco Guilhien |
author_facet |
Gomes-Junior, Francisco Guilhien Arruda, Natália Marcos-Filho, Julio |
author_role |
author |
author2 |
Arruda, Natália Marcos-Filho, Julio |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gomes-Junior, Francisco Guilhien Arruda, Natália Marcos-Filho, Julio |
dc.subject.por.fl_str_mv |
image analysis computer vision fruit maturation citrus rootstock seedling vigor |
topic |
image analysis computer vision fruit maturation citrus rootstock seedling vigor |
description |
Citrus seeds normally have low storability. Identifying an optimal fruit harvest time for production of high vigor seeds is important for nurseries; however, identifying this stage for Swingle citrumelo fruits has been based only on visual color examination, and research related to this parameter has been inconsistent. The main objective of this study was to evaluate a red-green-blue (RGB) color measurement system for successful identification of Swingle citrumelo fruits possessing seeds with maximum physiological potential and storability. Fruits were harvested at three ripening stages identified as green (G), greenish-yellow (GY), and yellow (Y) pericarp, photographed, and the images processed using ImageJ software. Data were expressed as the average pixel value of R, G and B color components and a mean RGB pixel value (R+G+B/3). After harvest, seeds were evaluated for water content, germination, seedling emergence, length, dry mass and vigor as measured by the Seed Vigor Imaging System - SVIS (uniformity and vigor indexes) after 0 and 5 months storage (5 °C and 65 % relative humidity). Percentage of ruptured coat seeds was also evaluated after extraction. The R color component provided the best identification of each G, GY and Y fruits. Seeds extracted from GY fruits had higher storage potential compared with seeds from G and Y fruits. Thus, precise fruit ripening classification can be generated using the RGB color system to identify the best time for harvest to obtain seeds with greater physiological and storage potential. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/134516 10.1590/1678-992x-2016-0173 |
url |
https://www.revistas.usp.br/sa/article/view/134516 |
identifier_str_mv |
10.1590/1678-992x-2016-0173 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/134516/130332 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Scientia Agricola info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Scientia Agricola |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 74 n. 5 (2017); 357-363 Scientia Agricola; Vol. 74 Núm. 5 (2017); 357-363 Scientia Agricola; Vol. 74 No. 5 (2017); 357-363 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222793267150848 |