Application of Correlation and Path Coefficient to find out Factors which affect total Production and Productivity of Moong

Author: Chetan Kumar Saini*, Neelash Patel and Rishabh

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Abstract

Various models and techniques have used to investigate the effect of various factors associated with production. The most frequent use method to analysing the effect of each independent variable on the dependent variable is multiple regression analysis and especially path analysis. Path analysis is a direction specific. Basically, it’s enables us to investigate the direct and indirect effect of various factors on a single factor. Here we try to find out various factors’ direct and indirect effect on moong yield production. The data show plant height is the most directly affecting factor whereas pest Jassid is the most indirectly effecting factors of moong yield production.

Keywords

Correlation, regression analysis, path coefficient, Moong.

Conclusion

Path analyses showed that out of 5 yield attributing characters viz., plant height, plant weight, number of pods per plant, pod height per plant and no. of jassid per plant studied. Plant height (0.9064) had more direct effect and number of pod per plant vs no. of jassid per plant (1.0506) had more indirect effect towards seed yield in jassid on moong crop.

References

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How to cite this article

Chetan Kumar Saini, Neelash Patel and Rishabh (2022). Application of Correlation and Path Coefficient to Find Out Factors which Affect Total Production and Productivity of Moong. Biological Forum – An International Journal, 14(1): 972-975.