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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 4
First page : (462) Last page : (467)
Article doi: : http://dx.doi.org/10.18782/2320-6850

Genetic Variability Studies for Yield and Quality Traits in tomato (Solanum lycopersicum L.)

B. Sureshkumara*, H. B. Lingaiah, R. Venugopalan and M. Shivapriya

Department of Vegetable Science, College of Horticulture, UHS Campus, GKVK Bengaluru, Karnataka, India
*Corresponding Author E-mail: sureshkumar.hort@gmail.com
Received: 3.07.2018 | Revised: 12.08.2018 | Accepted: 19.08.2018  

 

 ABSTRACT

In the present investigation, high genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) have observed for average fruit weight (42.26, 42.40%), titrable acidity (34.41, 36.11%), number of fruits per plant (24.71, 25.40%),  ascorbic acid (20.31, 34.35%), TSS:Acid ratio (33.74, 36.31%) indicating high amount of variation for above mentioned traits in tomato revealed existence of broad genetic base, which would be amenable for further selection. High heritability (>60%) coupled with high estimates of genetic advance over mean (GAM) have been observed for average fruit weight (99.30, 86.76%), number of locules per fruit (93.40, 89.88%) and pericarp thickness (68.60, 20.70%), number of fruits per plant (94.60, 49.50%),  number of clusters per plant (91.90, 37.71%), yield per plant (99.20, 39.37%), yield per hectare (99.20, 39.36%), titrable acidity (90.80, 67.56%) and TSS:Acid ratio (86.00, 64.58%), This indicates predominance of additive component for these traits and hence direct selection would be more effective in improving these traits.

Key words: genotypic coefficient of variation, phenotypic coefficient of variation, Heritability, genetic advance over mean.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Sureshkumara, B., Lingaiah, H. B., Venugopalan, R. and Shivapriya, M., Genetic Variability Studies for Yield and Quality Traits in tomato (Solanum lycopersicum L.), Int. J. Pure App. Biosci.6(4): 462-467 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6850