Evaluation of tomato (Lycopersicon esculentum mill.) genotypes for growth, yield and quality traits
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Date
2018
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CCSHAU
Abstract
The present investigation entitled “Evaluation of tomato (Lycopersicon esculentum Mill.) genotypes for growth, yield and quality traits” with twenty-two genotypes along with one standard check was conducted at Regional Research Station, Karnal and Laboratory of the Department of Vegetable Science, CCS Haryana Agricultural University, Hisar during rabi season of 2016-2017. The observations were recorded on 21 qualitative and quantitative traits. The objective of present investigation was to determine the genetic variability, estimation of character association between yield and its component traits by correlation and path analysis to determine the direct and indirect effect on dependent variable. The analysis of variance exhibited significant genotypic differences, showing considerable amount of genetic variability among different genotypes. The moderate PCV (15.16), GCV (14.93) and high genetic advance (30.30%) and high heritability (97.04%), observed for yield of fruits per hectare (q) was showing further scope of selection. Genotypes PNR-7, H-86, NT-8, Castle Rock, DVRT-2, DVRT-6, DVRT-8 and Punjab Upma were found promising for both yield and quality traits while genotypes P.H.S, Punjab Kesari, Punjab Upma and DVRT-3 were most promising for quality traits only. Yield of fruits per hectare (q) showed highly significantly and positive genotypic correlation with days to 50% flowering, days to first picking, days to last picking, polar diameter, equatorial diameter, pericarp thickness, weight of marketable fruits per plant, yield of fruits per plant and fruit firmness. The path coefficients analysis revealed that total number of fruits per plant, days to last picking and weight of marketable fruits per plant are most promising traits which influences yield directly as well as indirectly. Hierarchical cluster analysis indicated that crosses between the members of cluster separated by high inter cluster distances, are expected to produce desirable transgressive segregants.
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