Character Association and Path coefficient Analysis for Yield and Yield Contributing Traits in F2 Population of Bitter Gourd (Momordica charantia L.)

Author: Nikhil Sharma, Vilas D. Gasti, M. G. Kerutagi, Vijayakumar Rathod, Namita Bhasker Raut and Dileepkumar A. Masuthi

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Abstract

The present investigation was carried out to determine correlation coefficient and path analysis in the F2 population of HUB-1 × CO-1 of bitter gourd for 11 characters comprised of fruit yield and its contributing characters to identify transgressive segregants for further breeding programme. Yield is a dependent trait that is linked to a number of component traits. Selecting for yield directly may be less effective than selecting for traits that contribute to yield indirectly. The correlation coefficient is useful in determining the relative influence of the various characters on yield and helps to assess the probability of yield advancement by indirectly selecting its constituent characters, which are strongly correlated with yield. Path coefficient analysis proved useful in partitioning the correlation coefficient into direct and indirect effects and give an idea about the contribution of each independent character on dependent character i.e. yield. The 200 F2 population of HUB-1 × CO-1 constituted the experiment, which lied out in un-replicated at experimental Farm of the Department of Vegetable Science, Kittur Rani Chenamma College of Horticulture, Arabhavi, Belagavi District (Karnataka). The correlation coefficient suggested that there was a highly significant and positive association between fruit yield vine-1 and average fruit weight (0.821), fruit length (0.723), number of primary branches at final harvest (0.672), number of fruits vine-1 (0.659), number of seeds fruit-1 (0.639) and vine length at final harvest (0.620). The path analysis indicated that average fruit weight (0.72871) and number of fruits vine-1 (0.52488) had highest positive direct effects on fruit yield vine-1. Based on the overall findings of the current study, it was concluded that the main attention should be placed on average fruit weight followed by number of fruit vine, number of primary branches at final harvest and fruit length, while exercising selection to improve yield.

Keywords

Bitter gourd, correlation, fruit yield, path analysis

Conclusion

Correlation and path analysis demonstrated that advancement in yield may be possible by adopting traits such as average fruit weight, number of fruits per plant, number of primary branches at final harvest, fruit length and fruit diameter as selection criteria for crop improvement in bitter gourd.

References

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How to cite this article

Nikhil Sharma, Vilas D. Gasti, M. G. Kerutagi, Vijayakumar Rathod, Namita Bhasker Raut and Dileepkumar A. Masuthi (2023). Character Association and Path coefficient Analysis for Yield and Yield Contributing Traits in F2 Population of Bitter Gourd (Momordica charantia L.). Biological Forum – An International Journal, 15(1): 124-128.