Principal component analysis on morphological traits in juvenile stage arabica coffee
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
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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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 |
_version_ |
1799874919111065600 |