Genetic diversity and path coefficient analysis for yield and yield related traits in French bean Panchbhaiya A, Singh Dhirendra Kumar Department of Vegetable Science, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar, Uttarakhand, India Online published on 8 July, 2016. Abstract Seventyfour genotypes of French bean have been evaluated for various economic traits at GBPUAT, Pantnagar. Among the genotypes FB-202, FB-209, FB-206, Arka Suvidha and FB-205 were found superior with respect to yield and quality characters. The overall values of PCV were higher than those of GCV. The highest estimate of GCV was observed for plant height(42.45) followed byseed yield per plant(39.72), while highest heritability was recorded for seed length (99.04%). High heritability along with high genetic advance as per cent of mean was estimated for plant height. Pod yield had significant positive correlation with days to 50% flowering, seed yield per plant, plant height, number of pods per plant, number of pod clusters per plant, number of pods per cluster, number of seeds per pod, pod length and weight of single pod. Path coefficient analysis revealed that single pod weight and number of pods per plant had the highest positive contribution towards the total yield respectively. Principal component analysis showed that the first principal component had maximum of 30.85% variation of total variation, while the first seven principal component axes together with explained 83.41% variation, suggesting first seven principal axes are adequate to explain the variation in reduced dimension. Clustering through D2 analysis revealed maximum inter-cluster distance ofclusters V and IX(1405.141) followed by cluster III and IX (1297.298). Top Keywords Genetic variability, heritability, correlation, path coefficient analysis, principal component analysis, D2 analysis, French bean. Top |