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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2017 , Volume 5, Issue 2
Page No. : 931-936
Article doi: : http://dx.doi.org/10.18782/2320-7051.2807
Studies on Correlation and Path Coefficient Analysis in Tomato [Solanum lycopersicon (Mill.) Wettsd.]
Arvind Kumar Singh1, C. N. Ram1, G.C. Yadav1, R.K. Srivastava2, Chandra Deo1, Jeetendra Kumar Rao3, Deepak Kumar Gautam1* and Pushpendra Kumar1
1Department of Vegetable Science, 2Seed Technology and 3P.G. College Ghazipur Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad (U.P.) India
*Corresponding Author E-mail: pkgoyal4699@gmail.com
Received: 7.04.2017 | Revised: 15.04.2017 | Accepted: 16.04.2017
ABSTRACT
An experiment was conducted to identify the potential genotype of tomato with high productivity and good quality. Thirty-five genotypes of tomato collected from various location were evaluated for ten quantitative characters in Randomized Complete Block Design with three replications at Main Experiment Station, Department of Vegetable Science, Narendra Deva University of Agriculture and Technology, Narendra Nagar (Kumarganj), Faizabad (U.P.) during 2013-2014. The most important economic trait, fruit yield per plant exhibited highly significant and positive phenotypic correlation with number of fruit per plant followed by average fruit weight and number of primary branches per plant. Path coefficient analysis revealed appreciable amount of direct positive effect of fruit per plant followed by average fruit weight. On fruit yield per plant. Substantial positive indirect effect by number of fruits per plant and average fruit weight on fruits yield per plant was exerted via primary branches per plant.
Key words: Tomato, Colour, Flavour, Productivity, Fruit
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782/2320-7051.2807
Cite this article:
Singh, A.K., Ram, C. N., Yadav, G.C., Srivastava, R.K., Deo, C., Rao, J.K., Gautam, D.K. and Kumar, P., Studies on Correlation and Path Coefficient Analysis in Tomato [Solanum lycopersicon (Mill.) Wettsd.], Int. J. Pure App. Biosci. 5(2): 931-936 (2017). doi: http://dx.doi.org/10.18782/2320-7051.2807
