Vegetos

Abstract

Thirty diverse okra genotypes were evaluated for important morphological traits during the kharif season 2013 in Randomized Block Design with 3 replications. All the morphological data were subjected to statistical analysis. Diversity analysis of morphological traits showed that 30 okra genotypes can be grouped into 8 different clusters. Cluster VI has maximum 10 genotypes, while two clusters, namely Cluster I and II have single genotypes i.e. DOV-152 and Parbhani Kranti respectively, showing their diverse origin. Pusa Sawani, highly susceptible to YVMV disease was grouped with Arka Abhay and Arka Anamika. The resistant genotypes DOV-2, DOV-11 and DOV-66 grouped in same cluster VII. The highest mean for yield (142.72 q/ha) was found in cluster V. Cluster II and cluster III showed maximum inter cluster distance (8.28) followed by cluster I and III (8.11). The clustering was efficient to establish distinctness between resistant and susceptible genotypes as they were grouped in different clusters. Cluster analysis was useful in forming core subsets for grouping the genotypes with similar characters into homogeneous categories. In principal component analysis of morphological traits, a total of 52% variability was contributed by 3 principal components out of 16 principal components.