Correlation network analysis between phenotypic and genotypic traits of chili pepper

Correlation network analysis between phenotypic and genotypic traits of chili pepper

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The objective of this work was to build weighted correlation networks, in order to discover correlation structures and link patterns among 28 morphoagronomic traits of chili pepper related to seedling, plant, inflorescence, and fruit. Phenotypic and genotypic information of 16 Capsicum genotypes were analyzed. Correlation structures and link patterns can be easily identified in the matrices using the Fruchterman‑Reingold algorithm with correlation network information. Both types of correlations showed the same general link pattern among fruit traits, with high broad-sense heritability values and high aptitude of the genotypes for agronomic and ornamental breeding. Leaf dimensions are correlated with a cluster of fruit traits. Correlation networks of chili pepper traits may increase the effectiveness of genotype selection, since both correlated traits and groups can be identified.

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Main Authors: Silva, Anderson Rodrigo da, Rêgo, Elizanilda Ramalho do, Pessoa, Angela Maria dos Santos, Rego, Mailson Monteiro do
Format: Digital revista
Language:eng
Published: Pesquisa Agropecuaria Brasileira 2016
Online Access:https://seer.sct.embrapa.br/index.php/pab/article/view/21959
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spelling rev-pab-br-article-219592016-07-04T21:50:30Z Correlation network analysis between phenotypic and genotypic traits of chili pepper Análise de rede de correlação entre caracteres fenotípicos e genotípicos de pimenteiras Silva, Anderson Rodrigo da Rêgo, Elizanilda Ramalho do Pessoa, Angela Maria dos Santos Rego, Mailson Monteiro do Capsicum; correlation structure; genetic covariance; link pattern; plant breeding Capsicum; estrutura de correlação; covariância genética; padrão de ligação; melhoramento de plantas The objective of this work was to build weighted correlation networks, in order to discover correlation structures and link patterns among 28 morphoagronomic traits of chili pepper related to seedling, plant, inflorescence, and fruit. Phenotypic and genotypic information of 16 Capsicum genotypes were analyzed. Correlation structures and link patterns can be easily identified in the matrices using the Fruchterman‑Reingold algorithm with correlation network information. Both types of correlations showed the same general link pattern among fruit traits, with high broad-sense heritability values and high aptitude of the genotypes for agronomic and ornamental breeding. Leaf dimensions are correlated with a cluster of fruit traits. Correlation networks of chili pepper traits may increase the effectiveness of genotype selection, since both correlated traits and groups can be identified. O objetivo deste trabalho foi construir redes ponderadas de correlação, para descobrir estruturas de correlação e padrões de ligação entre 28 caracteres morfoagronômicos de pimenteiras, relacionados à plântula, planta, inflorescência e fruto. Informações fenotípicas e genotípicas de 16 genótipos de Capsicum foram analisadas. Estruturas de correlação e padrões de ligação podem ser facilmente identificados nas matrizes por meio do algoritmo Fruchterman‑Reingold, com as informações da rede de correlações. Ambos os tipos de correlação mostraram o mesmo padrão geral de ligação entre caracteres de frutos, com altos valores de herdabilidade no sentido amplo e grande aptidão desses genótipos para o melhoramento agronômico e ornamental. As dimensões das folhas estão correlacionadas ao grupo de caracteres de fruto. Redes de correlação de caracteres de pimenteiras podem aumentar a eficácia da seleção de genótipos, uma vez que tanto caracteres correlacionados quanto grupos podem ser identificados. Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira 2016-07-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://seer.sct.embrapa.br/index.php/pab/article/view/21959 Pesquisa Agropecuaria Brasileira; v.51, n.4, abr. 2016; 372-377 Pesquisa Agropecuária Brasileira; v.51, n.4, abr. 2016; 372-377 1678-3921 0100-104x eng https://seer.sct.embrapa.br/index.php/pab/article/view/21959/13270 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/21959/14031 Direitos autorais 2016 Pesquisa Agropecuária Brasileira
institution EMBRAPA
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-pab-br
tag revista
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language eng
format Digital
author Silva, Anderson Rodrigo da
Rêgo, Elizanilda Ramalho do
Pessoa, Angela Maria dos Santos
Rego, Mailson Monteiro do
spellingShingle Silva, Anderson Rodrigo da
Rêgo, Elizanilda Ramalho do
Pessoa, Angela Maria dos Santos
Rego, Mailson Monteiro do
Correlation network analysis between phenotypic and genotypic traits of chili pepper
author_facet Silva, Anderson Rodrigo da
Rêgo, Elizanilda Ramalho do
Pessoa, Angela Maria dos Santos
Rego, Mailson Monteiro do
author_sort Silva, Anderson Rodrigo da
title Correlation network analysis between phenotypic and genotypic traits of chili pepper
title_short Correlation network analysis between phenotypic and genotypic traits of chili pepper
title_full Correlation network analysis between phenotypic and genotypic traits of chili pepper
title_fullStr Correlation network analysis between phenotypic and genotypic traits of chili pepper
title_full_unstemmed Correlation network analysis between phenotypic and genotypic traits of chili pepper
title_sort correlation network analysis between phenotypic and genotypic traits of chili pepper
description The objective of this work was to build weighted correlation networks, in order to discover correlation structures and link patterns among 28 morphoagronomic traits of chili pepper related to seedling, plant, inflorescence, and fruit. Phenotypic and genotypic information of 16 Capsicum genotypes were analyzed. Correlation structures and link patterns can be easily identified in the matrices using the Fruchterman‑Reingold algorithm with correlation network information. Both types of correlations showed the same general link pattern among fruit traits, with high broad-sense heritability values and high aptitude of the genotypes for agronomic and ornamental breeding. Leaf dimensions are correlated with a cluster of fruit traits. Correlation networks of chili pepper traits may increase the effectiveness of genotype selection, since both correlated traits and groups can be identified.
publisher Pesquisa Agropecuaria Brasileira
publishDate 2016
url https://seer.sct.embrapa.br/index.php/pab/article/view/21959
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AT regomailsonmonteirodo correlationnetworkanalysisbetweenphenotypicandgenotypictraitsofchilipepper
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