The study of phenotypic variation and cluster analysis for quantitative traits of corn (Zea mays L.)

Abstract

In order to study the relationships between grain yield an experiment was carried out in randomized complete block design with four replications in Shahrood Agricultural Research Station during 2006-07. Cluster analysis with minimum ward variance method grouped the hybrids in 4 groups. In order to proving the truth of the classification obtained from cluster analysis discriminate function analysis and multivariate analysis verified the accuracy of classification from cluster analysis and grouped the hybrids in 4 groups. Result of four methods of multivariate analysis of variance Wilk's lambda showed that there were significant differences between 4 groups resulted from the cluster analysis.