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dc.contributor.authorOLIVEIRA, G. F.
dc.contributor.authorMIRANDA, T. L. R.
dc.contributor.authorNASCIMENTO, A. C. C.
dc.contributor.authorNASCIMENTO, M.
dc.contributor.authorCAIXETA, E. T.
dc.contributor.authorSILVA, L. de F.
dc.contributor.authorALKIMIM, E. R.
dc.contributor.authorSILVA, F. L. da
dc.date.accessioned2022-01-27T01:57:35Z-
dc.date.available2022-01-27T01:57:35Z-
dc.date.created2022-01-26
dc.date.issued2021
dc.identifier.citationRevista Brasileira de Biometria, v. 39, n. 1, p. 194-201, 2021.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1139353-
dc.descriptionCoffee 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.
dc.language.isoeng
dc.rightsopenAccess
dc.titleDiscrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
dc.typeArtigo de periódico
dc.subject.thesagroCafé Robusta
dc.subject.nalthesaurusDiscriminant analysis
dc.subject.nalthesaurusCoffea
dc.subject.nalthesaurusMultivariate analysis
riaa.ainfo.id1139353
riaa.ainfo.lastupdate2022-01-26
dc.identifier.doihttps://doi.org/10.28951/rbb.v39i1.525
dc.contributor.institutionGABRIELA 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.
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