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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2019, Volume : 7, Issue : 1
First page : (306) Last page : (312)
Article doi: : http://dx.doi.org/10.18782/2320-7051.6896

Correlation and Path Analysis Studies for Yield and Quality Traits in Tomato (Solanum lycopersicum L.)

Y. Madhavi¹*, R.V.S.K. Reddy², S. Sudheer Kumar³ and C. Sreenivasa Reddy⁴

^1,4Department of Horticulture, Agricultural College, Mahanandi – 518 502
²Dr. Y.S.R. Horticultural University, Tadepalligudem, West Godavari district, Andhra Pradesh, India
³Professor Jayashankar Telangana State Agricultural University, Rajendranagar Hyderabad
*Corresponding Author E-mail: madhaviyampalla@gmail.com
Received: 19.09.2018  |  Revised: 26.10.2018   |  Accepted: 4.11.2018  

 ABSTRACT

Correlation and path analysis were carried in thirty genotypes for yield and quality characters. The association studies showed that fruit yield per plant was positively and significantly correlated with number of primary branches per plant, number of flowers per cluster, number of fruits per cluster, fruit length, fruit width and average fruit weight. However, fruit yield per plant was negatively and significantly correlated with days to 50% flowering, peel to pulp ratio, number of locules per fruit and titrable acidity. Path analysis studies done to study the cause and effect relationship revealed that number of primary branches per plant, number of flowers per cluster, number of fruits per cluster, fruit width, average fruit weight, pulp yield, pericarp thickness and lycopene had positive direct effects on fruit yield per plant. Hence, these characters may be simultaneously selected to develop the high yielding with quality rich varieties.

Key words: Tomato, Correlation, Path analysis, Yield and Quality

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

Cite this article: Madhavi, Y., Reddy, R.V.S.K., Kumar, S.S. and Reddy, C.S., Correlation and Path Analysis Studies for Yield and Quality Traits in Tomato (Solanum lycopersicum L.), Int. J. Pure App. Biosci.7 (1): 306-312 (2019). doi: http://dx.doi.org/10.18782/2320-7051.6896