Phenotypic correlation network analysis of garlic variables

Detalhes bibliográficos
Autor(a) principal: Silva, Anderson Rodrigo da
Data de Publicação: 2015
Outros Autores: Cecon, Paulo Roberto, Puiatti, Mário
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Multi-Science Journal
Texto Completo: https://periodicos.ifgoiano.edu.br/multiscience/article/view/99
Resumo: In this paper we applied weighted correlation networks in order to discover correlation structures and link patterns of sixteen garlic variables related to leaf, bulb and other vegetative and growth variables. By using the Fruchterman-Reingold algorithm, correlation clusters and other structures could be easily identified. Overall, we detected a link between clusters of leaf and bulb variables. The harvest index was negatively associated with vegetative variables, as expected. In addition, bulb growth rate was positively associated with leaf area rate, root growth rate and plant liquid assimilation rate.
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spelling Phenotypic correlation network analysis of garlic variablesIn this paper we applied weighted correlation networks in order to discover correlation structures and link patterns of sixteen garlic variables related to leaf, bulb and other vegetative and growth variables. By using the Fruchterman-Reingold algorithm, correlation clusters and other structures could be easily identified. Overall, we detected a link between clusters of leaf and bulb variables. The harvest index was negatively associated with vegetative variables, as expected. In addition, bulb growth rate was positively associated with leaf area rate, root growth rate and plant liquid assimilation rate.Instituto Federal Goiano - Câmpus Urutaí2015-06-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ifgoiano.edu.br/multiscience/article/view/9910.33837/msj.v1i3.99Multi-Science Journal; Vol. 1 No. 3 (2015); 9-12Multi-Science Journal; v. 1 n. 3 (2015); 9-122359-69022359-6902reponame:Multi-Science Journalinstname:Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)instacron:IFGOenghttps://periodicos.ifgoiano.edu.br/multiscience/article/view/99/79Copyright (c) 2017 Anderson Rodrigo da Silva, Paulo Roberto Cecon, Mário Puiattiinfo:eu-repo/semantics/openAccessSilva, Anderson Rodrigo daCecon, Paulo RobertoPuiatti, Mário2018-03-18T10:17:38Zoai:ojs.emnuvens.com.br:article/99Revistahttps://periodicos.ifgoiano.edu.br/index.php/multisciencePUBhttps://periodicos.ifgoiano.edu.br/index.php/multiscience/oaiguilhermeifgoiano@gmail.com || multiscience@ifgoiano.edu.br || wesley.andrade@ifgoiano.edu.br2359-69022359-6902opendoar:2018-03-18T10:17:38Multi-Science Journal - Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)false
dc.title.none.fl_str_mv Phenotypic correlation network analysis of garlic variables
title Phenotypic correlation network analysis of garlic variables
spellingShingle Phenotypic correlation network analysis of garlic variables
Silva, Anderson Rodrigo da
title_short Phenotypic correlation network analysis of garlic variables
title_full Phenotypic correlation network analysis of garlic variables
title_fullStr Phenotypic correlation network analysis of garlic variables
title_full_unstemmed Phenotypic correlation network analysis of garlic variables
title_sort Phenotypic correlation network analysis of garlic variables
author Silva, Anderson Rodrigo da
author_facet Silva, Anderson Rodrigo da
Cecon, Paulo Roberto
Puiatti, Mário
author_role author
author2 Cecon, Paulo Roberto
Puiatti, Mário
author2_role author
author
dc.contributor.author.fl_str_mv Silva, Anderson Rodrigo da
Cecon, Paulo Roberto
Puiatti, Mário
description In this paper we applied weighted correlation networks in order to discover correlation structures and link patterns of sixteen garlic variables related to leaf, bulb and other vegetative and growth variables. By using the Fruchterman-Reingold algorithm, correlation clusters and other structures could be easily identified. Overall, we detected a link between clusters of leaf and bulb variables. The harvest index was negatively associated with vegetative variables, as expected. In addition, bulb growth rate was positively associated with leaf area rate, root growth rate and plant liquid assimilation rate.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-18
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://periodicos.ifgoiano.edu.br/multiscience/article/view/99
10.33837/msj.v1i3.99
url https://periodicos.ifgoiano.edu.br/multiscience/article/view/99
identifier_str_mv 10.33837/msj.v1i3.99
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ifgoiano.edu.br/multiscience/article/view/99/79
dc.rights.driver.fl_str_mv Copyright (c) 2017 Anderson Rodrigo da Silva, Paulo Roberto Cecon, Mário Puiatti
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Anderson Rodrigo da Silva, Paulo Roberto Cecon, Mário Puiatti
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Federal Goiano - Câmpus Urutaí
publisher.none.fl_str_mv Instituto Federal Goiano - Câmpus Urutaí
dc.source.none.fl_str_mv Multi-Science Journal; Vol. 1 No. 3 (2015); 9-12
Multi-Science Journal; v. 1 n. 3 (2015); 9-12
2359-6902
2359-6902
reponame:Multi-Science Journal
instname:Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)
instacron:IFGO
instname_str Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)
instacron_str IFGO
institution IFGO
reponame_str Multi-Science Journal
collection Multi-Science Journal
repository.name.fl_str_mv Multi-Science Journal - Instituto Federal de Educação, Ciência e Tecnologia Goiano (IF Goiano)
repository.mail.fl_str_mv guilhermeifgoiano@gmail.com || multiscience@ifgoiano.edu.br || wesley.andrade@ifgoiano.edu.br
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