Evaluation of Relationship between Agronomic Traits in Different Sesame Genotypes under Control and Humic Acid Application by Multivariate Statistical Analysis

The objectives of this research were to evaluate the relationships between traits of different sesame genotypes and determine the most important traits affecting on the grain yield under control and humic acid application. This experiment was carried out under control and humic acid application (250 gr humic acid per 1000 liter water). Each experiment was conducted using randomized complete block design with three replications in Abarkouh. Sesame genotypes were including Varamin 2822, Halil, Dashtestan 2, Dashtestan 5, Darab 1, Darab 14, Yazd, Jiroft 13 and Safi Abad. Grain yield under both conditions had significant positive correlation with biological yield, harvest index, 1000 seed weight, oil percentage, protein percentage, number of branches and number of seeds per capsule. By stepwise regression, number of branches and 1000 seed weight under control condition and number of seeds per capsule under humic acid application were entered to the stepwise regression model. The result of path analysis showed that number of branches under control condition and number of seeds per capsule under humic acid application had the most positive direct effect on grain yield. Studied genotypes using cluster analysis classified into three groups. Number of branches under control condition and number of seeds per capsule under humic acid application was one of the most important traits in sesame genotypes. According to cluster analysis, Dashtestan 2 and Darab 14 were better genotypes and so these genotypes could be used for achieving to high yield in sesame..