Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.

Detalhes bibliográficos
Autor(a) principal: OLIVEIRA, G. F.
Data de Publicação: 2021
Outros Autores: MIRANDA, T. L. R., NASCIMENTO, A. C. C., NASCIMENTO, M., CAIXETA, E. T., SILVA, L. de F., ALKIMIM, E. R., SILVA, F. L. da
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/1139353
https://doi.org/10.28951/rbb.v39i1.525
Resumo: Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal groups Conilon and Robusta. These varietal groups have complementary agronomic interests. Because of this, hybrids are obtained through the crosses between these groups. Given the difficulty in differentiating between two varietal groups genotypes in the field, the correct discrimination is essential for the definition of crosses in breeding programs. In this context, the objective was to apply a discriminant analysis (DA) to define functions to differentiate between varietal groups and hybrids of canephora, as well as to identify the most relevant phenotypic traits in these functions. Data from 165 genotypes from the Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural e do Centro Agronómico Tropical de Investigación y Enseñanza were used for which different plant traits were measured. The quadratic DA applied was the one with the best performance for genotype discrimination, with an average apparent error rate of 0.0333. Cercosporiose incidence, rust incidence and vegetative vigor were the most important traits in the varietal groups' discrimination.
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spelling Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.Café RobustaDiscriminant analysisCoffeaMultivariate analysisCoffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal groups Conilon and Robusta. These varietal groups have complementary agronomic interests. Because of this, hybrids are obtained through the crosses between these groups. Given the difficulty in differentiating between two varietal groups genotypes in the field, the correct discrimination is essential for the definition of crosses in breeding programs. In this context, the objective was to apply a discriminant analysis (DA) to define functions to differentiate between varietal groups and hybrids of canephora, as well as to identify the most relevant phenotypic traits in these functions. Data from 165 genotypes from the Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural e do Centro Agronómico Tropical de Investigación y Enseñanza were used for which different plant traits were measured. The quadratic DA applied was the one with the best performance for genotype discrimination, with an average apparent error rate of 0.0333. Cercosporiose incidence, rust incidence and vegetative vigor were the most important traits in the varietal groups' discrimination.GABRIELA FRANÇA OLIVEIRA, UFV; TAIANA LOPES RANGEL MIRANDA, UFV; ANA CAROLINA CAMPANA NASCIMENTO, UFV; MOYSÉS NASCIMENTO, UFV; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; LETÍCIA DE FARIA SILVA, UFV; EMILLY RUAS ALKIMIM, UFTM; FELIPE LOPES DA SILVA, UFV.OLIVEIRA, G. F.MIRANDA, T. L. R.NASCIMENTO, A. C. C.NASCIMENTO, M.CAIXETA, E. T.SILVA, L. de F.ALKIMIM, E. R.SILVA, F. L. da2022-01-27T01:57:35Z2022-01-27T01:57:35Z2022-01-262021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Biometria, v. 39, n. 1, p. 194-201, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139353https://doi.org/10.28951/rbb.v39i1.525enginfo: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:EMBRAPA2022-01-27T01:57:44Zoai:www.alice.cnptia.embrapa.br:doc/1139353Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-01-27T01:57:44falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-01-27T01:57:44Repositório 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 Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
title Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
spellingShingle Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
OLIVEIRA, G. F.
Café Robusta
Discriminant analysis
Coffea
Multivariate analysis
title_short Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
title_full Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
title_fullStr Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
title_full_unstemmed Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
title_sort Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
author OLIVEIRA, G. F.
author_facet OLIVEIRA, G. F.
MIRANDA, T. L. R.
NASCIMENTO, A. C. C.
NASCIMENTO, M.
CAIXETA, E. T.
SILVA, L. de F.
ALKIMIM, E. R.
SILVA, F. L. da
author_role author
author2 MIRANDA, T. L. R.
NASCIMENTO, A. C. C.
NASCIMENTO, M.
CAIXETA, E. T.
SILVA, L. de F.
ALKIMIM, E. R.
SILVA, F. L. da
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv GABRIELA FRANÇA OLIVEIRA, UFV; TAIANA LOPES RANGEL MIRANDA, UFV; ANA CAROLINA CAMPANA NASCIMENTO, UFV; MOYSÉS NASCIMENTO, UFV; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; LETÍCIA DE FARIA SILVA, UFV; EMILLY RUAS ALKIMIM, UFTM; FELIPE LOPES DA SILVA, UFV.
dc.contributor.author.fl_str_mv OLIVEIRA, G. F.
MIRANDA, T. L. R.
NASCIMENTO, A. C. C.
NASCIMENTO, M.
CAIXETA, E. T.
SILVA, L. de F.
ALKIMIM, E. R.
SILVA, F. L. da
dc.subject.por.fl_str_mv Café Robusta
Discriminant analysis
Coffea
Multivariate analysis
topic Café Robusta
Discriminant analysis
Coffea
Multivariate analysis
description Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal groups Conilon and Robusta. These varietal groups have complementary agronomic interests. Because of this, hybrids are obtained through the crosses between these groups. Given the difficulty in differentiating between two varietal groups genotypes in the field, the correct discrimination is essential for the definition of crosses in breeding programs. In this context, the objective was to apply a discriminant analysis (DA) to define functions to differentiate between varietal groups and hybrids of canephora, as well as to identify the most relevant phenotypic traits in these functions. Data from 165 genotypes from the Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural e do Centro Agronómico Tropical de Investigación y Enseñanza were used for which different plant traits were measured. The quadratic DA applied was the one with the best performance for genotype discrimination, with an average apparent error rate of 0.0333. Cercosporiose incidence, rust incidence and vegetative vigor were the most important traits in the varietal groups' discrimination.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022-01-27T01:57:35Z
2022-01-27T01:57:35Z
2022-01-26
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 Revista Brasileira de Biometria, v. 39, n. 1, p. 194-201, 2021.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139353
https://doi.org/10.28951/rbb.v39i1.525
identifier_str_mv Revista Brasileira de Biometria, v. 39, n. 1, p. 194-201, 2021.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139353
https://doi.org/10.28951/rbb.v39i1.525
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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)
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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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