Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters

Detalhes bibliográficos
Autor(a) principal: Gomes-Junior, Francisco Guilhien
Data de Publicação: 2017
Outros Autores: Arruda, Natália, Marcos-Filho, Julio
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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spelling 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
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