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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
25/01/2017 |
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Data da última atualização: |
17/02/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, E. J. de; AUD, F. F.; MORALES, C. F. G.; OLIVEIRA, S. A. S. de; SANTOS, V. da S. |
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Afiliação: |
EDER JORGE DE OLIVEIRA, CNPMF; FABIANA FERRAZ AUD, CNPMF; CINARA FERNANDA GARCIA MORALES, CNPMF; SAULO ALVES SANTOS DE OLIVEIRA, CNPMF; VANDERLEI DA SILVA SANTOS, CNPMF. |
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Título: |
Non-hierarchical clustering of Manihot esculenta Crantz germplasm based on quantitative traits. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Revista Ciência Agronômica, v. 47, n. 3, p. 548-555, jul./set., 2016. |
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ISSN: |
1806-6690 |
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Idioma: |
Inglês |
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Conteúdo: |
The knowledge of the phenotypic variation of cassava (Manihot esculenta Crantz) germplasm allows the estimative of the genetic variability to support the selection of contrasting genitors. Therefore, the aim of this work was to define homogeneous groups of cassava germplasm based on yield traits, disease resistance and root quality using K-means as a non-hierarchical method. Breeding values estimated by Best Linear Unbiased Predictor (BLUP) were used for the cluster analysis. The number of groups was defined according to the stabilization of the smallest within-group sum of squares. Seventeen clusters were defined to represent the diversity of the germplasm, whose number of accessions ranged from 7 (Group 15) to 69 (Group 9). In general, accessions belonging to Groups 1, 4, 7, 12, 15 and 16 showed good agronomic traits, such as high fresh root yield and starch yield (> 60.7 t ha-1 and 18.6 t ha -1 , respectively). In contrast, only Group 15 presented low bacterial blight severity. The groups obtained showed strong differences, as evidenced by the within-groups sums of squares values, which ranged from 215.1 (Group 15) to 2,338.3 (Group 8). The K-means algorithm allowed the formation of consistent groups based on yield traits, disease resistance and root quality. Therefore, the K-means algorithm was efficient in the formation of groups with low within genotypic variation, especially concerning large amounts of data, such as in cassava germplasm banks. |
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Thesagro: |
Mandioca. |
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Thesaurus Nal: |
cassava. |
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Categoria do assunto: |
-- |
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Marc: |
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022 $a1806-6690
100 1 $aOLIVEIRA, E. J. de
245 $aNon-hierarchical clustering of Manihot esculenta Crantz germplasm based on quantitative traits.$h[electronic resource]
260 $c2016
520 $aThe knowledge of the phenotypic variation of cassava (Manihot esculenta Crantz) germplasm allows the estimative of the genetic variability to support the selection of contrasting genitors. Therefore, the aim of this work was to define homogeneous groups of cassava germplasm based on yield traits, disease resistance and root quality using K-means as a non-hierarchical method. Breeding values estimated by Best Linear Unbiased Predictor (BLUP) were used for the cluster analysis. The number of groups was defined according to the stabilization of the smallest within-group sum of squares. Seventeen clusters were defined to represent the diversity of the germplasm, whose number of accessions ranged from 7 (Group 15) to 69 (Group 9). In general, accessions belonging to Groups 1, 4, 7, 12, 15 and 16 showed good agronomic traits, such as high fresh root yield and starch yield (> 60.7 t ha-1 and 18.6 t ha -1 , respectively). In contrast, only Group 15 presented low bacterial blight severity. The groups obtained showed strong differences, as evidenced by the within-groups sums of squares values, which ranged from 215.1 (Group 15) to 2,338.3 (Group 8). The K-means algorithm allowed the formation of consistent groups based on yield traits, disease resistance and root quality. Therefore, the K-means algorithm was efficient in the formation of groups with low within genotypic variation, especially concerning large amounts of data, such as in cassava germplasm banks.
650 $acassava
650 $aMandioca
700 1 $aAUD, F. F.
700 1 $aMORALES, C. F. G.
700 1 $aOLIVEIRA, S. A. S. de
700 1 $aSANTOS, V. da S.
773 $tRevista Ciência Agronômica$gv. 47, n. 3, p. 548-555, jul./set., 2016.
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