Genetic Evaluation and Bi-plot Analysis in Okra Hybrids for Yield, Quality Components and YVMV Resistance

Fifty-one okra Fhybrids (using 17 lines as female and 3 testers as male parent) were evaluated 1in RCBD design during two different consecutive seasons (summer and rainy). The phenotypic coefficient of variability (PCV) was higher than the genotypic coefficient of variability (GCV) for all studied character exhibiting environmental effects on the expression 2of characters. Heritability (hb) along with genetic advance per cent of mean was found highest for character YVMV (86.95% and 150.61%). All the 51 okra hybrids were grouped into 4 distinct clusters in which Cluster II was the largest cluster having 28 Fs (54.90% of total Fs) 11followed by Cluster I with 14 Fs (27.45% of total Fs). Out of the major 6 PCs, 4 principal 11components (PC1, PC2, PC3, and PC4) accounted with proportionate values of 22.61, 17.22, 11.87 and 10.63%, respectively and contributed 62.33 % of the cumulative variation having Eigen value more than one. Moreover, based on PCs and genetic divergence in Cluster I and Cluster IV for plant height, YVMV and number of fruit per plant are important to identify the best cross combination (Arka Abhay × Arka Anamika) in okra. Therefore, the best cross combinations for improvement in various economic traits can be recommended on the basis of genetic divergence and principal component analysis in okra