Data/hora: 12/06/2024 14:49:50

Provedor de dados: 	Revista Ciência Agronômica (RCA)	
País: 	Brazil	
Título: 	Non-hierarchical clustering of Manihot esculenta Crantz germplasm based on quantitative traits	
Autores: 	Oliveira,Eder Jorge de; Aud,Fabiana Ferraz; Morales,Cinara Fernanda Garcia; Oliveira,Saulo Alves Santos de; Santos,Vanderlei da Silva.	
Data: 	2016-09-01	
Ano: 	2016	
Palavras-chave: 	Cassava; Genetic resources; Diseases; Breeding; Genotypic data.	
Resumo: 	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 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 (&gt; 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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902016000300548	
Editor: 	Universidade Federal do Ceará	
Relação: 	10.5935/1806-6690.20160066	
Formato: 	text/html	
Fonte: 	Revista Ciência Agronômica  v.47 n.3 2016	
Fonte: 	info:eu-repo/semantics/openAccess