Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/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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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 |
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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1794503516894527488 |