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| Registros recuperados : 143 | |
| 6. |  | SANTOS, B. W. C. dos; FERREIRA, F. M.; SOUZA, V. F. de; CLEMENT; ROCHA, R. B. Análise discriminante das características físicas e químicas de frutos de pupunha (Bactris gasipaes Kunth) do alto Rio Madeira, Rondônia, Brasil. Científica, Jaboticabal, v.45, n.2, p.154-161, 2017.| Biblioteca(s): Embrapa Rondônia. |
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| 7. | | PETERNELLI, L. A.; FERREIRA, F. M.; ROCHA, R. B.; BARROS, W. S.; BARBOSA, W. H. P. Análise dos coeficientes de endogamia e de parentesco para qualquer nível de ploidia usando o pacote estatístico R (¹). Separata de: Bragantia, Campinas, v. 68, n.4, p. 849-855, 2009.| Biblioteca(s): Embrapa Rondônia. |
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| 11. | | ROCHA, R. B.; CRUZ, C. D.; BARROS, W. S.; FERREIRA, F. M.; ARAÚJO, E. F. de. Comparisons of segregating populations for genetic mapping. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 4, n. 4, p. 408-415, Dec. 2004.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 12. | | FERREIRA, F. M. J.; SANTOS, P. S. dos; ALVES, J. R.; CRUZ, P. G. da. Desempenho de produção do capim Megathyrsus maximuscv Mombaça com aplicação de diferentes fertilizantes no sudoeste amazônico. In: CONGRESSO INTERNACIONAL DE PECUÁRIA LEITEIRA DA AMAZÔNIA OCIDENTAL, 1., 2019, Rio Branco, AC. Anais... Rio Branco, AC: Edufac, 2019. p. 46-47.| Biblioteca(s): Embrapa Rondônia. |
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| 13. | | SILVA, D. O. da; FERREIRA, F. M.; ROCHA, R. B.; ESPINDULA, M. C.; SPINELLI, V. M. Genetic progress with selection of Coffea canephora clones of superior processed coffee yield. Ciência Rural, Santa Maria, v. 48, n. 3, e20170443, 2018.| Biblioteca(s): Embrapa Rondônia. |
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| 17. | | FERREIRA, F. M. S.; BUTRUILLE, N. M. S.; MAGGIOTTO, S. R.; MADARI, B. E. N2O fluxes using the flux-gradient method and a tunable diode laser trace gas analyzer in an integrated crop-livestock system in the Brazilian Cerrado. In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FOREST SYSTEMS; INTERNATIONAL SYMPOSIUM ON INTEGRATED CROP-LIVESTOCK SYSTEMS, 3., 2015, Brasília, DF. Towards sustainable intensification: proceedings. Brasília, DF: Embrapa, 2015.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 20. | | BORGES, C. V.; FERREIRA, F. M.; SILVA, H. A. F. B. da; MACIEL, B. da S.; ROCHA, R. B. Análise de Repetibilidade em Caracteres de Arquitetura da Planta e Produção em Pinhão-manso. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 7., 2013, Uberlândia. Variedade melhorada: a força da nossa agricultura: anais. Viçosa, MG: SBMP, 2013. p. 1075-1077.| Biblioteca(s): Embrapa Rondônia. |
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| Registros recuperados : 143 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
13/12/2021 |
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Data da última atualização: |
14/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SOUZA, M. S.; FERREIRA, F. M.; ROCHA, R. B.; LOPES, M. T. G.; OLIVEIRA, L. N. L. |
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Afiliação: |
MARCILÉIA 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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Título: |
Classification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Ceres, v. 68, n. 5, p. 420-428, set./out. 2021. |
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ISSN: |
0034-737X (Impresso) / 2177-3491 (Online) |
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DOI: |
https://doi.org/10.1590/0034-737X202168050007 |
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Idioma: |
Inglês |
|
Conteúdo: |
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. MenosA 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... Mostrar Tudo |
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Palavras-Chave: |
Amazônia Ocidental; Embrapa Rondônia; Ouro Preto do Oeste (RO); Rondônia; Western Amazon. |
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Thesagro: |
Café; Café Robusta; Campo Experimental; Clone; Coffea Canephora; Cruzamento Vegetal; Melhoramento Genético Vegetal; Variação Genética. |
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Thesaurus NAL: |
Crossing; Demonstration farms; Genetic variation; Plant breeding; Quantitative traits. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229046/1/cpafro-18640.pdf
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|
Marc: |
LEADER 02834naa a2200409 a 4500
001 2137698
005 2021-12-14
008 2021 bl uuuu u00u1 u #d
022 $a0034-737X (Impresso) / 2177-3491 (Online)
024 7 $ahttps://doi.org/10.1590/0034-737X202168050007$2DOI
100 1 $aSOUZA, M. S.
245 $aClassification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors.$h[electronic resource]
260 $c2021
520 $aA 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.
650 $aCrossing
650 $aDemonstration farms
650 $aGenetic variation
650 $aPlant breeding
650 $aQuantitative traits
650 $aCafé
650 $aCafé Robusta
650 $aCampo Experimental
650 $aClone
650 $aCoffea Canephora
650 $aCruzamento Vegetal
650 $aMelhoramento Genético Vegetal
650 $aVariação Genética
653 $aAmazônia Ocidental
653 $aEmbrapa Rondônia
653 $aOuro Preto do Oeste (RO)
653 $aRondônia
653 $aWestern Amazon
700 1 $aFERREIRA, F. M.
700 1 $aROCHA, R. B.
700 1 $aLOPES, M. T. G.
700 1 $aOLIVEIRA, L. N. L.
773 $tRevista Ceres$gv. 68, n. 5, p. 420-428, set./out. 2021.
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