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- Title
Non-hierarchical clustering of Manihot esculenta Crantz germplasm based on quantitative traits.
- Authors
de Oliveira, Eder Jorge; Ferraz Aud, Fabiana; Garcia Morales, Cinara Fernanda; de Oliveira, Saulo Alves Santos; da Silva Santos, Vanderlei
- Abstract
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 nonhierarchical 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.
- Subjects
CASSAVA yields; PLANT variation; PLANT breeding; PLANT diversity; DISEASE resistance of plants; PLANT germplasm; CLUSTER analysis (Statistics)
- Publication
Revista Ciência Agronômica, 2016, Vol 47, Issue 3, p548
- ISSN
0045-6888
- Publication type
Article
- DOI
10.5935/1806-6690.20160066