Applied and Natural Science Foundation
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Journal of Applied and Natural Science
An International Journal | Print ISSN: 0974-9411 | Online ISSN: 2231-5209
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Abstract
Journal of Applied and Natural Science 7 (2): 806-816 (2015)
Genetic analysis of agronomic and biochemical variables among different tomato (Solanum lycopersicum L.)accessions
Om Prakash Meena1,2*,Vijay Bahadur1,Ashok Jagtap3 and Pawan Saini4
1Department of Horticulture, Allahabad School of Agriculture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad-211 007 (U.P.), INDIA
2Department of Vegetable Science, Punjab Agricultural University, Ludhiana-141 004 (Punjab), INDIA
3School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana-141 004 (Punjab), INDIA
4Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana-141 004 (Punjab), INDIA
*Corresponding author. E-mail: chandrawatop2@gmail.com
Abstract : In the present study, thirty accessions of tomato were evaluated for estimation of correlation and path analysis among various quantitative and qualitative characters related to fruit yield. There were highly significant differences among the accessions for all the characters studied as per the analysis of variance. Genotypic correlation coefficients were generally similar in nature and higher in magnitude than the corresponding phenotypic correlation coefficients. The results revealed that the fruit yield plant-1 was significantly and positively correlated with number of fruits plant-1 (0.3119 and 0.3184) followed by fruit set percentage (0.2434 and 0.2499), fruit weight (0.6766 and 0.6731), polar diameter of fruit (0.4687 and 0.4635) at genotypic and phenotypic level, respectively, indicating that effective improvement in fruit yield plant-1 through these characters could be achieved. Fruit weight showed positive and significant genotypic and phenotypic correlation with fruit yield plant-1 by having greatest positive direct effect (1.1298 and 1.1116) on fruit yield plant-1 at both levels, indicating the true relationship between them and the feasibility to exploit the potentiality of this trait for effective direct selection to improve fruit yield plant-1.

Keywords : Agronomical, Biochemical variables, Genetic association, Path analysis, Solanum lycopersicum
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