GENETIC ANALYSIS IN YIELD AND ITS CONTRIBUTING CHARACTERS IN F₅ POPULATION OF Brassica napus L.

Abstract

Thirty two F 5 population of Brassica napus L. were evaluated. The experiment was laid to study the variability, correlation, path analysis and genetic diversity. The genotypes were found significantly variable for most of the characters. Phenotypic variances were higher than the genotypic variances for most of the character studied. The high GCV value was observed for number of secondary branches per plant (43.11). Number of secondary branches (98.67) exhibited the highest value of heritability followed by seed yield per plant (98. 43) while days to maturity (88.23) exhibited the lowest value of heritability. The significant positive correlation with seed yield per plant were found with all most all the characters except days to 50% flowering (0.034) and days to maturity (-0.095). Path co-efficient analysis revealed that days to 50% flowering, number of secondary branch, number of siliqua per plant, number of seed per siliqua, and thousand seed weight had the positive direct effect on yield per plant whereas days to 80% maturity, plant height, number of primary branch and siliqua length had the negative direct effect on yield per plant. On the basis of cluster analysis, all the genotypes were classified in five clusters.The highest inter cluster distance was observed between cluster I and IV(10.311). The lowest intercluster

distance (3.513) was observed between the cluster III and IV (3.521). Considering group distance and other agronomic performance genotypes Nap-248 X Nap-159, Nap-2037 X Nap-2057, Np-9908 X Np-2022, Nap-2012 X Nap-2022, Bs13 X Nap-2022 and Bs-7 X Nap-206 might be suggested for future breeding program.