Data/hora: 04/06/2024 02:00:16

Provedor de dados: 	52	
País: 	Brazil	
Título: 	Comparison between multivariate methods applied for the evaluation of genetic divergence in Cacao (Theobroma cacao L.)	
Autores: 	Dias,Luiz Antônio dos Santos; Kageyama,Paulo Yoshio.	
Data: 	1998-01-01	
Ano: 	1998	
Palavras-chave: 	Cacao cultivars; Canonical variates; Genetic divergence; Mahalanobis' and mean Euclidean distances; Principal components.	
Resumo: 	Several multivariate methods have been used in divergence analyses of populations. Consistency and relative association among four methods were assessed using a 5 x 5 complete-diallel data involving cacao cultivars. Over a 5-year period, five cultivars were analyzed based upon five yield components. In assessing the divergence of parents only the data obtained from five cacao cultivars were analyzed. Four multivariate statistics presented close association when considered in pairs, in this case the Mahalanobis' (D²) with the mean Euclidean distance obtained from canonical variates (d cv), and mean Euclidean distance (d e) with the mean Euclidean distance obtained from principal components (d pc). In both cases, high correlations (r &gt; 0.95) were obtained. However, a weak association was detected between D² and de and between d pc and d cv (0.50 and 0.66, respectively). Thus, in studies on genetic divergence, statistics considering the error variance-covariance matrix should be preferred whenever its estimate is possible.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89131998000200005	
Editor: 	Instituto de Tecnologia do Paraná - Tecpar	
Relação: 	10.1590/S1516-89131998000200005	
Formato: 	text/html	
Fonte: 	Brazilian Archives of Biology and Technology  v.41 n.2 1998	
Fonte: 	info:eu-repo/semantics/openAccess