Genetic Diversity Analysis for Yield and Yield Attributing Traits in Finger Millet (Eleusine coracana L.)

Abstract

The present investigation was carried out to assess the genetic variability, heritability, genetic advance, genetic diversity in 37 finger millet genotypes for 15 quantitative traits during Kharif, 2022 at Field Experimentation Centre, Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agricxulture Technology and Sciences, Uttar Pradesh in Randomized Block Design with 3 replications. The analysis of variance for mean sum of squares due to genotypes showed significant differences for all the 15 quantitative characters. The genotype, IE-184 followed by IE-195, IE-185, IE-191, IE-199, IE-180 exhibited highest grain Yield per Plant, while IE-111, IE-150, IE-169, IE-170, IE-175, IE-168 genotypes are early in maturity. Whereas, genotypic and phenotypic coefficient of variation were found high for flag leaf length, number of productive tillers, number of fingers per ear, finger length. High heritability and high Genetic advance were recorded in plant height, flag leaf length, ear width, number of fingers per ear, finger width. Clustering by Tocher’s Method has grouped all 37 genotypes into 6 clusters, in which Cluster-I contains more (16) genotypes and Cluster-IV, Cluster-V, Cluster-VI contains less (1) genotypes. According to Mahalanobis Euclidean Distance (not to scale), the maximum Inter-Cluster distance is recorded between Cluster-I and Cluster-VI (10.52) followed by Cluster-II and Cluster-V (10.44), Cluster-II & Cluster-III (9.35), Cluster-II & Cluster-IV (9.21). Plant height followed by grain yield per plant and days to 50% flowering traits contributes the highest percentage towards the overall divergence among the genotypes. Hence the selection of genotypes based on the above-mentioned characters and Inter Cluster Distance will be useful for crop improvement in Finger Millet.