The present investigation was carried out on thirty-six lentil genotypes at the farm of Bihar Agricultural University, Sabour, Bhagalpur in 2018-19. The genetic divergences were examined using Mahalanobis D2 statistics for two dates of sowing i.e normal sown and late sown condition. The presence of variation among genotypes was revealed by ANOVA for considerable traits which come out as significant for all traits under study except several primary branches per plant, the number of pods per cluster under both normal and late sown condition and the number of seeds per pod in late sown condition. The study on genotypic variability, correlation and path analysis was done to know the direct and indirect relationship on seed yield and yield components for enhancement of economic yield. The total genotypes were grouped into 7 clusters under a timely sown condition such as. Cluster I being the largest comprising 10 genotypes, followed by cluster II with 8 genotypes, cluster III with 7 genotypes, cluster IV had 6 genotypes. Cluster V with 3 genotypes and cluster VI and cluster VII was monogenic. Coming to late sown condition, five clusters were formed displaying cluster II with a maximum number of genotypes (18 genotypes) followed by cluster I (11genotypes), cluster III (5 genotypes) and lastly, cluster IV and V were monogenic. 100 seed weight contributed maximum towards genetic divergence followed by grain yield per plant and number of pods per plant in timely sown and 100 seed weight chased by the number of pods per plant and number of secondary branches per plant under a late sown environment which can be integrated into the enhancement of productivity of lentil. Owing to the results of inter-cluster distance and mean performance of clusters for different traits, the genotypes such as FLIP 2010-86L and X2011S-172-1 under normal sown and likewise, Pusa Vaibhav and IPL-406 under late sown environment are expected to trigger the heterotic combination and obtain the desirable segregants for yield and its determinants.
Genetic variability, Correlation and Path coefficient analysis for yield and yield components in lentil (Lens culinaris M.) genotypes
