Data/hora: 10/06/2024 00:47:58

Provedor de dados: 	74	
País: 	Brazil	
Título: 	Predicting performance of soybean populations using genetic distances estimated with RAPD markers	
Autores: 	Barroso,Paulo Augusto Vianna; Geraldi,Isaias Olívio; Vieira,Maria Lúcia Carneiro; Pulcinelli,Carlos Eduardo; Vencovsky,Roland; Dias,Carlos Tadeu dos Santos.	
Data: 	2003-01-01	
Ano: 	2003	
Palavras-chave: 	Soybean; Genetic distance; Molecular markers; RAPD; Prediction.	
Resumo: 	In order to verify whether genetic distance (GD) is associated with population mean (PM), genetic variance (GV) and the proportion of superior progenies generated by each cross in advanced generations of selfing (PS), the genetic distances between eight soybean lines (five adapted and three non-adapted) were estimated using 213 polymorphic RAPD markers. The genetic distances were partitioned according to Griffing's Model I Method 4 for diallel analysis, i.e., GDij = GD+ GGDi+ GGDj + SGDij. Phenotypic data were recorded for seed yield and plant height for 25 out of 28 populations of a diallel set derived from the eight soybean lines and evaluated from F2:8 to F2:11 generations. No significant correlation for seed yield was detected between GD and GV, while negative correlations were detected between GD and PM and between GD and PS (r = -0.74** and -0.75**, respectively). Similar results were observed for the correlation between GGDi + GGDj and PM and between GGDi + GGDj and PS (r = -0.78** and -0.80**, respectively). No significant correlation was detected for plant height. The magnitudes of the correlations for seed yield were high enough to allow predictions of the potential of the populations based on RAPD markers.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000300020	
Editor: 	Sociedade Brasileira de Genética	
Relação: 	10.1590/S1415-47572003000300020	
Formato: 	text/html	
Fonte: 	Genetics and Molecular Biology  v.26 n.3 2003	
Fonte: 	info:eu-repo/semantics/openAccess