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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão; Embrapa Clima Temperado; Embrapa Milho e Sorgo. |
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Data corrente: |
23/04/2024 |
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Data da última atualização: |
23/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
KARAM, D.; SILVA, J. R. O.; GAZZIERO, D. L. P.; VARGAS, L.; CAVALIERI, S. D.; IKEDA, F. S.; PAES, M. C. D.; ANDRES, A.; ADEGAS, F. S. |
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Afiliação: |
DECIO KARAM, CNPMS; JÚLIA RESENDE OLIVEIRA SILVA, UNIVERSIDADE FEDERAL DE LAVRAS; DIONISIO LUIZ PISA GAZZIERO, CNPSO; LEANDRO VARGAS, CNPT; SIDNEI DOUGLAS CAVALIERI, CNPA; FERNANDA SATIE IKEDA, CPAMT; MARIA CRISTINA DIAS PAES, CNPMS; ANDRE ANDRES, CPACT; FERNANDO STORNIOLO ADEGAS, CNPSO. |
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Título: |
Investimento que compensa. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Cultivar Grandes Culturas, v. 26, n. 297, p. 20-23, 2024. |
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Idioma: |
Português |
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Conteúdo: |
A indústria busca soluções para os problemas com plantas daninhas; o investimento necessário para a adoção das estratégias de manejo integrado produz impacto financeiro positivo ao longo do tempo |
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Palavras-Chave: |
Planta daninha. |
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Thesagro: |
Controle Químico; Erva Daninha; Herbicida; Resistência. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 00921naa a2200277 a 4500
001 2163799
005 2024-04-23
008 2024 bl uuuu u00u1 u #d
100 1 $aKARAM, D.
245 $aInvestimento que compensa.$h[electronic resource]
260 $c2024
520 $aA indústria busca soluções para os problemas com plantas daninhas; o investimento necessário para a adoção das estratégias de manejo integrado produz impacto financeiro positivo ao longo do tempo
650 $aControle Químico
650 $aErva Daninha
650 $aHerbicida
650 $aResistência
653 $aPlanta daninha
700 1 $aSILVA, J. R. O.
700 1 $aGAZZIERO, D. L. P.
700 1 $aVARGAS, L.
700 1 $aCAVALIERI, S. D.
700 1 $aIKEDA, F. S.
700 1 $aPAES, M. C. D.
700 1 $aANDRES, A.
700 1 $aADEGAS, F. S.
773 $tCultivar Grandes Culturas$gv. 26, n. 297, p. 20-23, 2024.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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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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Embrapa Rondônia (CPAF-RO) |
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