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dc.contributor.authorSOUZA, M. S.
dc.contributor.authorFERREIRA, F. M.
dc.contributor.authorROCHA, R. B.
dc.contributor.authorLOPES, M. T. G.
dc.contributor.authorOLIVEIRA, L. N. L.
dc.date.accessioned2021-12-14T02:09:06Z-
dc.date.available2021-12-14T02:09:06Z-
dc.date.created2021-12-13
dc.date.issued2021
dc.identifier.citationRevista Ceres, v. 68, n. 5, p. 420-428, set./out. 2021.
dc.identifier.issn0034-737X (Impresso) / 2177-3491 (Online)
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1137698-
dc.descriptionA strategy for genetic improvement of coffee Coffea canephora plants is to aggregate through artificial crossings the characteristics of the Conilon botanical variety, such as shorter height and drought resistance, with the higher average grain size and resistance to pests and diseases of the Robusta variety. Efficiently separating the clones into these two groups with the aid of appropriate analytical procedures makes field tasks easier for professionals and, thus, allows the systematic production of intervarietal hybrids. This study verifies if the non-parametric discriminant analyzes of the k-nearest neighbors (k-NN) and k-average neighbors (k-AN) would be able to correctly classify 130 coffee clones in their botanical varieties previously designated as Conilon, Robusta and Intervarietal Hybrids populations from ten quantitative agronomic characteristics, including the processed coffee beans yield, considering the existing population genetic divergence. These characteristics were found to be good discriminatory variables and the discriminant analyzes k-NN and k-AN, based on the principle of similarity by neighborhood, classified the clones with high hit rates. The k-AN discriminant analysis was able to better discriminate intervarietal hybrids from the group clones Conilon. The results correctly reflected the genetic diversity between the botanical varieties and intervarietal hybrids of Coffea canephora, allowing us to conclude that these classification methods can assist breeders in the main task of discriminating Conilon from Robusta clones.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectEmbrapa Rondônia
dc.subjectOuro Preto do Oeste (RO)
dc.subjectRondônia
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.titleClassification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors.
dc.typeArtigo de periódico
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroCafé
dc.subject.thesagroCoffea Canephora
dc.subject.thesagroCafé Robusta
dc.subject.thesagroClone
dc.subject.thesagroVariação Genética
dc.subject.thesagroCruzamento Vegetal
dc.subject.thesagroCampo Experimental
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusGenetic variation
dc.subject.nalthesaurusCrossing
dc.subject.nalthesaurusQuantitative traits
dc.subject.nalthesaurusDemonstration farms
riaa.ainfo.id1137698
riaa.ainfo.lastupdate2021-12-13
dc.identifier.doihttps://doi.org/10.1590/0034-737X202168050007
dc.contributor.institutionMARCILÉIA SANTOS SOUZA, Universidade Federal do Amazonas (UFAM); FÁBIO MEDEIROS FERREIRA, Universidade Federal do Amazonas (UFAM); RODRIGO BARROS ROCHA, CPAF-RO; MARIA TERESA GOMES LOPES, Universidade Federal do Amazonas (UFAM); LEILANE NICOLINO LAMARÃO OLIVEIRA, Prefeitura Municipal de Urucurituba, Secretaria de Meio Ambiente, Urucurituba, Amazonas.
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