Principal component analysis on morphological traits in juvenile stage arabica coffee

Detalhes bibliográficos
Autor(a) principal: Teixeira, Alexsandro Lara
Data de Publicação: 2013
Outros Autores: Gonçalves, Flávia Maria Avelar, Rezende, Juliana Costa de, Rocha, Rodrigo Barros, Pereira, Antonio Alves
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/411
Resumo: In plant breeding and selection, it is necessary to evaluate a great number of traits that are naturally associated. Thus, the use of multivariate analysis, such as Principal Component Analysis, can assist data interpretation. The aim of this study was to identify which morphological traits are of greatest importance to discriminate juvenile Coffea arabica genotypes. Cultivars, hybrids and some wild genotypes were evaluated from a coffee genebank maintained by the Empresa de Pesquisa Agropecuária de Minas Gerais, in Patrocínio, MG, Brazil. A randomized block experimental design was used with two replicates, spacing of 3.5 x 0.8 meters and ten plants per plot. The morphological characters were measured at 12 months after the plantation, at the plants juvenile phase. Only the first two major components explained 80.04% of total variance. Among the morphological evaluated traits, the length of the first plagiotropic branch, the plant vitality, the stem diameter and the nodes number of the first plagiotropic branch are the most important variables to discriminate the genotypes. These evaluations are important to the early selection of the genotypes of higher potential allowing to concentrate efforts in their evaluating, discarding other minor traits.
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spelling Principal component analysis on morphological traits in juvenile stage arabica coffeeAnálise de componentes principais em caracteres morfológicos de café arábica emestádio juvenilEarly selectionmultivariatecoffee breedingCoffea arabica L.MultivariadaMelhoramento do cafeeiroIn plant breeding and selection, it is necessary to evaluate a great number of traits that are naturally associated. Thus, the use of multivariate analysis, such as Principal Component Analysis, can assist data interpretation. The aim of this study was to identify which morphological traits are of greatest importance to discriminate juvenile Coffea arabica genotypes. Cultivars, hybrids and some wild genotypes were evaluated from a coffee genebank maintained by the Empresa de Pesquisa Agropecuária de Minas Gerais, in Patrocínio, MG, Brazil. A randomized block experimental design was used with two replicates, spacing of 3.5 x 0.8 meters and ten plants per plot. The morphological characters were measured at 12 months after the plantation, at the plants juvenile phase. Only the first two major components explained 80.04% of total variance. Among the morphological evaluated traits, the length of the first plagiotropic branch, the plant vitality, the stem diameter and the nodes number of the first plagiotropic branch are the most important variables to discriminate the genotypes. These evaluations are important to the early selection of the genotypes of higher potential allowing to concentrate efforts in their evaluating, discarding other minor traits.Para a seleção de plantas que reúnam uma série de características favoráveis, faz-se necessário a avaliação um de grande número de variáveis, que naturalmente estão associadas. Desse modo, o emprego da análise multivariada, como a análise de Componentes Principais, pode ser útil na interpretação dos dados. Objetivou-se, no presente estudo, identificar quais são os caracteres morfológicos de maior importância na discriminação entre genótipos juvenis de Coffea arabica. Foram avaliados 250 acessos (cultivares, híbridos e alguns genótipos selvagens) oriundos do banco de germoplasma de café, instaladona fazenda experimental da Empresa de Pesquisa Agropecuária de Minas Gerais, em Patrocínio, MG. O delineamento utilizado foi o de blocos casualizados com duas repetições, espaçamento de 3,5 x 0,8 metros, com parcelas de dez plantas. Os caracteres morfológicos foram avaliados em 2006, 12 meses após a implantação da cultura, com as plantas ainda na fase juvenil. Por meio dos resultados constatou-se que os dois primeiros componentes principais explicaram 80,04% da variação total. Dentre as características morfológicas avaliadas, o comprimento do 1º ramo plagiotrópico, vigor, diâmetro do caule e número de nós do 1º ramo plagiotrópico são as variáveis de maior importância na distinção dos acessos. Essa informação permite uma maior concentração de esforços na avaliação das mesmas, descartando outras variáveis de menor importância.Editora UFLA2013-12-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/411Coffee Science - ISSN 1984-3909; Vol. 8 No. 2 (2013); 205-210Coffee Science; Vol. 8 Núm. 2 (2013); 205-210Coffee Science; v. 8 n. 2 (2013); 205-2101984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAengporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/411/pdf_148https://coffeescience.ufla.br/index.php/Coffeescience/article/view/411/pdf_31Copyright (c) 2013 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessTeixeira, Alexsandro LaraGonçalves, Flávia Maria AvelarRezende, Juliana Costa deRocha, Rodrigo BarrosPereira, Antonio Alves2014-10-22T18:04:58Zoai:coffeescience.ufla.br:article/411Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:40.872117Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Principal component analysis on morphological traits in juvenile stage arabica coffee
Análise de componentes principais em caracteres morfológicos de café arábica emestádio juvenil
title Principal component analysis on morphological traits in juvenile stage arabica coffee
spellingShingle Principal component analysis on morphological traits in juvenile stage arabica coffee
Teixeira, Alexsandro Lara
Early selection
multivariate
coffee breeding
Coffea arabica L.
Multivariada
Melhoramento do cafeeiro
title_short Principal component analysis on morphological traits in juvenile stage arabica coffee
title_full Principal component analysis on morphological traits in juvenile stage arabica coffee
title_fullStr Principal component analysis on morphological traits in juvenile stage arabica coffee
title_full_unstemmed Principal component analysis on morphological traits in juvenile stage arabica coffee
title_sort Principal component analysis on morphological traits in juvenile stage arabica coffee
author Teixeira, Alexsandro Lara
author_facet Teixeira, Alexsandro Lara
Gonçalves, Flávia Maria Avelar
Rezende, Juliana Costa de
Rocha, Rodrigo Barros
Pereira, Antonio Alves
author_role author
author2 Gonçalves, Flávia Maria Avelar
Rezende, Juliana Costa de
Rocha, Rodrigo Barros
Pereira, Antonio Alves
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Teixeira, Alexsandro Lara
Gonçalves, Flávia Maria Avelar
Rezende, Juliana Costa de
Rocha, Rodrigo Barros
Pereira, Antonio Alves
dc.subject.por.fl_str_mv Early selection
multivariate
coffee breeding
Coffea arabica L.
Multivariada
Melhoramento do cafeeiro
topic Early selection
multivariate
coffee breeding
Coffea arabica L.
Multivariada
Melhoramento do cafeeiro
description In plant breeding and selection, it is necessary to evaluate a great number of traits that are naturally associated. Thus, the use of multivariate analysis, such as Principal Component Analysis, can assist data interpretation. The aim of this study was to identify which morphological traits are of greatest importance to discriminate juvenile Coffea arabica genotypes. Cultivars, hybrids and some wild genotypes were evaluated from a coffee genebank maintained by the Empresa de Pesquisa Agropecuária de Minas Gerais, in Patrocínio, MG, Brazil. A randomized block experimental design was used with two replicates, spacing of 3.5 x 0.8 meters and ten plants per plot. The morphological characters were measured at 12 months after the plantation, at the plants juvenile phase. Only the first two major components explained 80.04% of total variance. Among the morphological evaluated traits, the length of the first plagiotropic branch, the plant vitality, the stem diameter and the nodes number of the first plagiotropic branch are the most important variables to discriminate the genotypes. These evaluations are important to the early selection of the genotypes of higher potential allowing to concentrate efforts in their evaluating, discarding other minor traits.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-24
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://coffeescience.ufla.br/index.php/Coffeescience/article/view/411
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/411
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/411/pdf_148
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/411/pdf_31
dc.rights.driver.fl_str_mv Copyright (c) 2013 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2013 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 8 No. 2 (2013); 205-210
Coffee Science; Vol. 8 Núm. 2 (2013); 205-210
Coffee Science; v. 8 n. 2 (2013); 205-210
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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