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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
An experiment was carried out in Randomized Block design with thirteen genotypes of sweet basil each replicated thrice. Assessing variability is essential to identify the most important traits in sweet basil genotypes which help in crop improvement programme. The population genotypic coefficients of variation (GCV), phenotypic coefficients of variation (PCV), broad sense heritability ), genetic advance and genetic advance as per cent of mean (GAM) for twenty four characters were analysed to record the degree of variability of sweet basil genotypes. The estimates of phenotypic variance were higher than those of genotypic variance for all the traits, thereby indicating the influence of environment in the expression of these traits. High estimates of GCV and PCV were recorded for total fresh weight of plant (35.74%; 39.50%), fresh weight of leaves (30.66%; 36.80%) and spikes (40.67%; 45.26%) per plant, oil yield from leaves (45.91%; 49.55%) and spikes (58.28%; 61.19%) per plant. High heritability estimates in conjunction with high GAM was observed for total fresh weight of plant (81.87%; 66.61%), fresh weight of leaves (69.42%; 52.63%) and spikes (80.78%; 75.31%) per plant and oil yield from leaves (85.87%; 87.64%) and spikes (90.54%; 114.13%) per plant. Besides, seed yield per plant also exhibited GCV, PCV, heritability and GAM in high range (52.75%, 61.28%, 74.09% and 93.52%).