Association and Path coefficient Analysis Among Grain Yield and it’s component Traits in Barley (Hordeum vulgare L.)

Author: Payal Agarwal, Abhay Dashora, Avadhoot B. Dharmadhikari, Parul Gupta, Himansuman and Urmila

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Abstract

A study was undertaken to estimate character association and path coefficient analysis for grain yield and its contributing traits in 36 novel barley genotypes grown in Randomized Block Design with three replications during Rabi, 2022-23. The grain yield per plant had a positive and significant correlation with number of effective tillers per plant, number of grains per spike, 1000-grain weight and biological yield per plant at both genotypic and phenotypic levels while with harvest index at genotypic level only. The characters namely biological yield per plant, 1000-grain weight, number of effective tillers per plant, days to 75 percent heading and grain protein content had high positive direct effect on grain yield per plant. Thus, these traits are to be considered as the most important yield contributors and due emphasis should be given while attempting yield improvement in barley.

Keywords

Barley, correlation coefficient, path analysis

Conclusion

In the light of above findings, it may be concluded that improvement in the characters like biological yield per plant, 1000-grain weight, number of effective tillers per plant, number of grains per plant and plant height will help in improving the seed yield in barley both directly and indirectly. Therefore, these characters should be considered for yield improvement in barley breeding programme.

References

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How to cite this article

Payal Agarwal, Abhay Dashora, Avadhoot B. Dharmadhikari, Parul Gupta, Himansuman and Urmila (2023). Association and Path coefficient Analysis Among Grain Yield and it’s component Traits in Barley (Hordeum vulgare L.). Biological Forum – An International Journal, 15(8a): 140-143.