Factor analysis for plant and production variables in Coffea canephora in the Western Amazon.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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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1794503541168013312 |