Predicting performance of soybean populations using genetic distances estimated with RAPD markers
Genet. mol. biol
; 26(3): 343-348, 2003. tab, graf
Artigo
em Inglês
| LILACS
| ID: lil-346326
Biblioteca responsável:
BR26.1
ABSTRACT
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 F28 to F211 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
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
LILACS
Assunto principal:
Glycine max
/
Variação Genética
/
Técnica de Amplificação ao Acaso de DNA Polimórfico
Tipo de estudo:
Estudo prognóstico
/
Fatores de risco
Idioma:
Inglês
Revista:
Genet. mol. biol
Assunto da revista:
Genética
Ano de publicação:
2003
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Embrapa-Algodão/BR
/
Embrapa-Soja/BR
/
Universidade de São Paulo/BR
/
Universidade de Säo Paulo/BR