Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.

Detalhes bibliográficos
Autor(a) principal: SILVA, G. N.
Data de Publicação: 2022
Outros Autores: BARROSO, L. M. A., CRUZ, C. D., ROCHA, R. B., FERREIRA, F. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152373
Resumo: The evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The inter- pretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee.
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spelling Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.ConilonRobustaIntervarietal hybridsMultivariate analyzesCoffee beansThe evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The inter- pretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee.GABI NUNES SILVA, FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA; LAÍS MAYARA AZEVEDO BARROSO, FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO BARROS ROCHA, CPAF-RO; FÁBIO MEDEIROS FERREIRA, INSTITUTO DE CIÊNCIAS EXATAS E TECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS.SILVA, G. N.BARROSO, L. M. A.CRUZ, C. D.ROCHA, R. B.FERREIRA, F. M.2023-03-15T12:50:42Z2023-03-15T12:50:42Z2023-03-152022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCoffee Science, v. 17, e171981, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152373enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-03-15T12:50:42Zoai:www.alice.cnptia.embrapa.br:doc/1152373Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-03-15T12:50:42falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-03-15T12:50:42Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
title Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
spellingShingle Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
SILVA, G. N.
Conilon
Robusta
Intervarietal hybrids
Multivariate analyzes
Coffee beans
title_short Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
title_full Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
title_fullStr Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
title_full_unstemmed Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
title_sort Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
author SILVA, G. N.
author_facet SILVA, G. N.
BARROSO, L. M. A.
CRUZ, C. D.
ROCHA, R. B.
FERREIRA, F. M.
author_role author
author2 BARROSO, L. M. A.
CRUZ, C. D.
ROCHA, R. B.
FERREIRA, F. M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv GABI NUNES SILVA, FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA; LAÍS MAYARA AZEVEDO BARROSO, FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO BARROS ROCHA, CPAF-RO; FÁBIO MEDEIROS FERREIRA, INSTITUTO DE CIÊNCIAS EXATAS E TECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS.
dc.contributor.author.fl_str_mv SILVA, G. N.
BARROSO, L. M. A.
CRUZ, C. D.
ROCHA, R. B.
FERREIRA, F. M.
dc.subject.por.fl_str_mv Conilon
Robusta
Intervarietal hybrids
Multivariate analyzes
Coffee beans
topic Conilon
Robusta
Intervarietal hybrids
Multivariate analyzes
Coffee beans
description The evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The inter- pretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023-03-15T12:50:42Z
2023-03-15T12:50:42Z
2023-03-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Coffee Science, v. 17, e171981, 2022.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152373
identifier_str_mv Coffee Science, v. 17, e171981, 2022.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152373
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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