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Classification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors

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dc.contributor.author Souza, Marciléia Santos
dc.contributor.author Ferreira, Fábio Medeiros
dc.contributor.author Rocha, Rodrigo Barros
dc.contributor.author Lopes, Maria Teresa Gomes
dc.contributor.author Oliveira, Leilane Nicolino Lamarão
dc.date.accessioned 2022-12-08T10:58:07Z
dc.date.available 2022-12-08T10:58:07Z
dc.date.issued 2021-11-08
dc.identifier.citation SOUZA, Marciléia Santos; FERREIRA, Fábio Medeiros; ROCHA, Rodrigo Barros; LOPES, Maria Teresa Gomes; OLIVEIRA, Leilane Nicolino Lamarão. Classification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors. Revista Ceres, Viçosa, v. 68, n. 5, p. 420-428, 08 nov. 2021. Available from: https://doi.org/10.1590/0034-737X202168050007. Accessed: 08 dec. 2022. pt_BR
dc.identifier.issn 2177-3491
dc.identifier.uri DOI: 10.1590/0034-737X202168050007 pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/13693
dc.description.abstract A 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. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Universidade Federal de Viçosa pt_BR
dc.relation.ispartofseries Revista Ceres;v. 68, n. 5, p. 420-428, 2021;
dc.rights Open Access pt_BR
dc.subject Conilon pt_BR
dc.subject Robusta pt_BR
dc.subject genetic diversity pt_BR
dc.subject quantitative trait pt_BR
dc.subject.classification Cafeicultura::Genética e melhoramento pt_BR
dc.title Classification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors pt_BR
dc.type Artigo pt_BR

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