Choudhary, B.R.Bairwa, UjalaKumhar, S.R.Shukla, U.N.2021-12-062021-12-062021-09-25Bairwa Ujala 2021. Genetic Variability, Correlation and Path Analysis in Finger Millet [Eleusine coracana (L.) Gaertn]. M.Sc. thesis, College of Agriculture, Agriculture University, Jodhpurhttps://krishikosh.egranth.ac.in/handle/1/5810178642An experiment entitled “Genetic Variability, Correlation and Path analysis in Finger millet [Eleusine corocana (L.) Gaertn]” was conducted with 35 genotypes in Kharif 2020 at Research Farm of Agricultural Research Station, Mandor, Jodhpur (Rajasthan). The experiment was laid out in RandomizedBlock Design (RBD) with three replications to estimate the extent of genetic variability, heritability, genetic advance, correlation coefficient, path coefficient analysis and genetic divergence among all the genotypes. The analysis of variance exhibited significant difference among the genotypes for all the characters under study indicating the presence of substantial degree of variability. The phenotypic coefficient of variance (PCV) was higher than genotypic coefficient of variance (GCV) for all the traits under study, indicating influence of environment on expression of such traits. The highest value of PCV and GCV was observed for iron content and the lowest for days to 50% flowering. All the traits showed high heritability except number of fingers per ear, number of effective tillers per plant and biological yield per plant. High heritability coupled with high genetic advance as percent of mean were recorded for iron content, test weight, calcium content, finger length, protein content, flag leaf area and days to maturity hence these characters are most likely to be governed by additive gene action and selection for these characters will be very effective. Correlation studies among the characters revealed that grain yield per plant has a strong positive and significant association with characters like flag leaf area, finger length, test weight, biological yield per plant and harvest index at phenotypic and genotypic levels depicting that these are important yield contributing traits. Path coefficient analysis of various quantitative traits indicated that flag leaf area, test weight, biological yield per plant, harvest index and iron content had the maximum positive direct effect on grain yield per plant. Based on the relative magnitude of D2 values, Tochers’s method resulted in formation of seven clusters. Out of seven clusters, cluster I was the largest comprising of fifteen genotypes followed by cluster II with twelve genotypes and cluster III with four genotypes, clusters IV, V, VI and VII were monogenotypic suggested the existence of high degree of heterogeneity among the genotypes. The traits test weight contributed maximum towards genetic divergence. The highest intra cluster distance was recorded in cluster III and cluster II while maximum inter cluster distance was recorded between cluster III and cluster VII followed by cluster I and cluster VII indicated that superior recombinants can be achieved by mating between the lines of the clustersEnglishThesis