International Journal of Innovative Horticulture
  • Year: 2013
  • Volume: 2
  • Issue: 1

Genetic association analysis for yield and quality traits in tomato (Solanum lycopersicum L.)

  • Author:
  • Adhi Shankar1,, R.V.S.K. Reddy2, M. Sujatha3, M. Pratap1
  • Total Page Count: 8
  • Page Number: 70 to 77

1Deparment of Horticulture, College of Horticulture, Rajendranagar, Dr.Y.S.R. Horticultural University, Hyderabad-50030, Andhra Pradesh, India

2Vegetable Research Station, Rajendranagar, Dr. Y.S.R. HU, Hyderabad-50030, Andhra Pradesh, India

3Dept. of Genetics and Plant Breeding, College of Agriculture, Rajendranagar, Acharya N.G. Ranga Agricultural University, Hyderabad-50030, Andhra Pradesh, India

*Author Corresponding: shankar1104@gmail.com

Online published on 4 December, 2019.

Abstract

The present investigation was conducted during Rabi and Kharif seasons 2010–11 at Vegetable Research Station, Dr. Y.S.R. Horticultural University, Hyderabad (A.P.), India. Thirty- seven tomato (Solanum lycopersicum L.) genotypes were evaluated to estimate the nature and magnitude of associations of different characters with yield/plant, and among the genotypes. The experiment was conducted using a randomized block design with three replications. Yield/plant showed highest positive and significant genotypic and phenotypic correlation with pericarp thickness (rg= 0.655, rp = 0.611) followed by average fruit weight (rg=0.522, rp= 0.512), fruit length (rg= 0.350, rp= 0.309), numbers (nos.) of flowers/plant (rg= 0.371, rp= 0.231) as well as negatively significant correlation with days to 50% flowering (rg= -0.308, rp= -0.286), which indicated that these traits play important roles in yield improvement. Genotypic and phenotypic path coefficient analyses revealed that positive direct effects were exerted by pericarp thickness, no. of flowers/cluster, shelflife and days to 50% flowering showed negative direct effect. The results clearly imply that direct selection for these characters might be effective in improving the yield.

Keywords

Correlation, Path analysis, Quality, Tomato, Yield