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| Registros recuperados : 272 | |
| 81. |  | RAMALHO, A. R.; ROCHA, R. B.; ALVES, E. A.; VIEIRA JUNIOR, J. R.; TEIXEIRA, A. L. Robustas Amazônicos II: seleção recorrente de progênies meios-irmãos (f2) em populações cafeeiras. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 10., 2019, Vitória. Pesquisa, Inovação e Sustentabilidade dos Cafés do Brasil. Anais... Brasília, DF: Embrapa Café, 2019.| Biblioteca(s): Embrapa Rondônia. |
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| 86. | | SPINELLI, V. M.; DIAS, L. A. dos S.; ROCHA, R. B.; RESENDE, M. D. V. de. Yield performance of half-sib families of physic nut (Jatropha curcas L.). Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 14, n. 1, p. 49-53, Mar. 2014.| Biblioteca(s): Embrapa Florestas. |
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| 87. | | MURO-ABAD, J. I.; PIRES, I. E.; ALMEIDA, A. E. A.; TONELLO, K. C.; ROCHA, R. B.; ARAÚJO, E. F. Análise da diversidade genética em clones de Eucalyptus spp. utilizando marcadores moleculares RAPD. In: CONGRESSO E EXPOSIÇÃO INTERNACIONAL SOBRE FLORESTAS, 6., 2000, Porto Seguro. Resumos técnicos. Rio de Janeiro: Instituto Ambiental Biosfera, 2000. p.9-10.| Biblioteca(s): Embrapa Florestas. |
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| 88. | | TEIXEIRA, A. L.; GONÇALVES, F. M. A.; REZENDE, J. C. de; ROCHA, R. B.; PEREIRA, A. A. Análise de componentes principais em caracteres morfológicos de café arábica em estádio juvenil. Coffee Science, Lavras, v. 8, n. 2, p. 205-210, abr./jun. 2013.| Biblioteca(s): Embrapa Rondônia. |
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| 89. | | SOUZA, C. A. de; TEIXEIRA, A. L.; TORRES, J. D.; SILVA, C. A.; ESPINDULA, M. C.; ROCHA, R. B. Adaptability and stability of Coffea arabica lines in the western Amazon. Coffee Science, v. 14, n. 2, p. 240-249, apr./jun. 2019.| Biblioteca(s): Embrapa Rondônia. |
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| 90. | | MORAES, M. S.; ROCHA, R. B.; TEIXEIRA, A. L.; ESPINDULA, M. C.; SILVA, C. A.; LUNZ, A. M. P. Adaptability and stability of Coffea canephora Pierre ex Froehner genotypes in the Western Amazon. Ciência Rural, v. 50, n. 1, e20190087, 2020.| Biblioteca(s): Embrapa Acre; Embrapa Rondônia. |
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| 92. | | VIEIRA, A. H.; BENTES-GAMA, M. de M.; OLIVEIRA, A. C. de; ROCHA, R. B.; LOCATELLI, M. Comportamento fenológico da castanha-do-brasil (Bertholletia excelsa Humb. Bonpl.) em Porto Velho, Rondônia. In: SEMINÁRIO MANEJO SUSTENTÁVEL DE PRODUTOS FLORESTAIS NÃO-MADEIREIROS NA AMAZÔNIA, 1., 2008, Rio Branco. Anais... Rio Branco: Embrapa Acre, 2008. p. 41-43. 1 CD ROM.| Biblioteca(s): Embrapa Rondônia. |
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| 93. | | LAVIOLA, B. G.; ALVES, A. A.; ROSADO, T. B.; ROCHA, R. B.; RESENDE, M. D. V. de. Cruzamentos dialélicos e capacidade combinatória em pinhão-manso na fase jovem. In: CONGRESSO BRASILEIRO DE PESQUISA EM PINHÃO-MANSO, 2., 2011, Brasília, DF. Pinhão-manso: focando em soluções sustentáveis para produção de biocombustíveis: anais. Brasília, DF: Embrapa Agroenergia: ABPPM, 2011. 1 CD-ROM. (Embrapa Agroenergia. Documentos, 005). Não paginado.| Biblioteca(s): Embrapa Agroenergia. |
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| 94. | | LAVIOLA, B. G.; ALVES, A. A.; ROSADO, T. B.; ROCHA, R. B.; RESENDE, M. D. V. de. Cruzamentos dialéticos e capacidade combinatória em pinhão-manso na fase jovem. In: CONGRESSO BRASILEIRO DE PESQUISA EM PINHÃO-MANSO, 2., 2011, Brasília. Anais...Brasília: Embrapa, 2011. (Embrapa. Documentos, 005). 1 CD-ROM.| Biblioteca(s): Embrapa Rondônia. |
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| 95. | | MURO-ABAD, J. I.; ROCHA, R. B.; CRUZ, C. D.; PIRES, I. E.; ARAÚJO, E. F. de. Crosses recommendation method for obtaining Eucalyptus spp. hybrids assisted by molecular markers. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 5, n. 1, p. 71-79, Mar. 2005.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 97. | | SPINELLI, V. M.; MORAES, M. S.; ALVES, D. S. B.; ROCHA, R. B.; RAMALHO, A. R.; TEIXEIRA, A. L. Contribution of agronomic traits to the coffee yield of Coffea canephora Pierre ex A. Froehner in the western Amazon region. Coffee Science, Lavras, v. 13, n. 3, p. 333-340, jul./sep. 2018.| Biblioteca(s): Embrapa Rondônia. |
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| 99. | | VIENCZ, T.; ACRE, L. B.; ROCHA, R. B.; ALVES, E. A.; RAMALHO, A. R.; BENASSI, M. de T. Caffeine, trigonelline, chlorogenic acids, melanoidins, and diterpenes contents of Coffea canephora coffees produced in the Amazon. Journal of Food Composition and Analysis, v. 117, 2023.| Biblioteca(s): Embrapa Rondônia. |
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| Registros recuperados : 272 | |
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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 |
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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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