Predicting performance of soybean populations using genetic distances estimated with RAPD markers

Genetics and Molecular Biology

Paulo Augusto Vianna Barroso²  Isaias Olívio Geraldi¹  Maria Lúcia Carneiro Vieira¹  Carlos Eduardo Pulcinelli¹  Roland Vencovsky¹  Carlos Tadeu Dos Santos Dias¹ 

[1] ,Embrapa-AlgodãoCampina Grande PB ,Brazil

关键词: soybean;    genetic distance;    molecular markers;    RAPD;    prediction;   

DOI  :  10.1590/S1415-47572003000300020

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License