International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:6, June, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(6): 1944-1950

Correlation and Path Coefficient Analysis in Tomato (Solanum lycopersicum L.)
Kiran Kumar1*, Dhananjay Sharma2, Jitendra Singh3 and Padmakshi Thakur4
1Department of Vegetable Science, College of Agriculture Raipur,
2Department of Vegetable Science, College of Agriculture Raipur,
3Floriculture and Landscape Architecture, College of Agriculture Raipur,
4 Scientist, SG College of Agriculture & Research Station, Jagdalpur, IGKV, Raipur, 492012 (C.G.) India
*Corresponding author

The present investigation was carried out under AICRP on Vegetable Crops at Horticultural Research cum Instructional Farm, Department of Vegetable Science, IGKV, Raipur (C.G.) during rabi 2016-17. The 22 tomato (Solanum lycopersicum L.) genotypes were evaluated to estimate the nature and magnitude of associations of different characters with fruit yield (q/ha). The experiment was conducted using Randomized Block Design (RBD) with three replications. An overall observation of correlation coefficient analysis revealed that average fruit wt. (0.792, 0.735), fruit diameter (0.751, 0.705), number of fruits per cluster (0.636, 0.520), number of flowers per cluster (0.620, 0.520), fruit yield per plant (0.584, 0.559), ascorbic acid (0.441, 0.355) and number of fruits per plant (0.415, 0.352), exhibited the significant positive correlation with fruit yield (q/ha). Hence, direct selection for these traits may lead to the development of high yielding genotypes of tomato. In case of path analysis fruit diameter (11.003), fruit yield per plant (5.646), plant height (5.363), days to first fruit harvest (4.913), number of fruits per cluster (3.052), number of branches per plant (1.206) had highest positive direct effect on fruit yield (q/ha) hence, indicating their true positive and significant association with fruit yield (q/ha). This indicated that these traits play important role in yield improvement. This implies that direct selection for these characters might be effective and there is a possibility of improvement in fruit yield.

Keywords: Correlation, Path analysis, Genotypes, Tomato, Yield

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How to cite this article:

Kiran Kumar, Dhananjay Sharma, Jitendra Singh and Padmakshi Thakur. 2020. Correlation and Path Coefficient Analysis in Tomato (Solanum lycopersicum L.).Int.J.Curr.Microbiol.App.Sci. 9(6): 1944-1950. doi:
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