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International Journal of Applied Agricultural & Horticultural Sciences
  • 29 April, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
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Vol. 6 (5) : September-October 2015 issue
Green Farming Vol. 6 (5) : 921-926 ; September-October, 2015
Genetic variability and selection parameters for yield & quality attributes in tomato (S. lycopersicum L.) genotypes
DIKLESH KUMAR1*, D. SHARMA2, N. SHUKLA3 and K. KUMAR4
Deptt of Horticulture, College of Agriculture, Indira Gandhi Krishi Vishvavidyalaya, Raipur - 492 012 (Chhattisgarh)
Designation :  
1,4P.G. Student *(dikleshkunwar@gmail.com), 2Scientist, 3Professor
Subject : Vegetable Sciences
Paper No. : P-3049
Total Pages : 6
Received : 22 December 2014
Revised accepted : 10 September 2015
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Citation :

DIKLESH KUMAR, D. SHARMA, N. SHUKLA and K. KUMAR. 2015. Genetic variability and selection parameters for yield & quality attributes in tomato (S. lycopersicum L.) genotypes. Green Farming Vol. 6 (5) : 921-926 ; September-October, 2015

ABSTRACT
Twenty genotypes of tomato were studied for the genetic variability which indicated that genetic material in the present investigation possessed variability that provides sufficient basis for selection. High estimates of PCV and GCV were obtained for number of fruits per plant, plant height, fruit weight per plant, total fruits yield, average fruit weight, number of fruits per cluster, number of locules per fruit and number of primary branches per plant which indicated a good deal of variability in those characters signifying the effectiveness of selection of desirable types for improvement. High heritability assisted with high genetic advance as per cent of mean was observed for fruit length, plant height, number of fruits per plant, days to first flowering, number of fruits per cluster, number of locules per fruit and 100 seed weight. Correlation studies revealed that the economically important trait total fruit yield showed positive correlation with number of fruits per plant at genotypic and phenotypic level and days to fruit set at genotypic level only, which indicated that yield could be increased by improving a traits. Path coefficient analysis revealed that days to fruit ripening, fruit length, number of fruits per plant, number of flowers per cluster, days to 50 % flowering, number of locules per fruit, days to fruit set, fruit weight per plant, number of primary branches per plant, had positive direct effect on total fruit yield. Whereas, negative direct effect on total fruit yield was observed for days to first fruit harvest, days to first flowering, pericarp thickness, plant height, 100 seed weight, average fruit weight, fruit girth, number of fruits per cluster.
Key words :
Correlation, Genetic variability, GCV, PCV, Path coefficient analysis, Tomato genotypes, Yield attributes.