Exploring Genetic Variability, Correlation, and Path Coefficient Assessment for Yield and its Attributing Traits in Summer Green Gram (Vigna radiata L.): Insights into Crop Improvement

Author: Thanniru Bhavya Sri, I.R. Delvadiya, Murakonda Sai Dinesh and A.V. Ginoya

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Abstract

An experiment was laid out on green gram to study the genetic variability among the yield and yield contributing characters was conducted at the research farm of Lovely Professional University, Phagwara during the summer season of 2022. The experiment followed a Randomized Complete Block Design with three replications. Morphological traits were recorded from five random plants selected from each recombinant genotype in each replication. Analysis of Variance revealed a highly significant difference among the genotypes for all the traits. Conversely, low genetic variability was observed in traits such as days to maturity, Pod length, and days to fifty percent flowering. Heritability estimates based on broad sense were highest for plant height, 100 Seed Weight, Number of Pods per Plant, Number of Seeds per Pod, and Number of Primary Branches per plant. Genetic advance as a percentage of the mean at a selection intensity of five percent was high for the traits Number of Pods per Plant, Number of Seeds per Pod, 100 Seed Weight, Number of Primary Branches per plant, and Seed Yield per Plant. The combination of heritability estimates and genetic advance indicated the influence of additive gene action. Based on the findings of this study, the inbred lines MGG-336, MGG-351, MGG-348, and Vijetha SRPM-26 were identified as superior genotypes in terms of yield attributing traits.

Keywords

Greengram, Variability, Correlation, Path coefficient

Conclusion

In conclusion, the research conducted on green gram genotypes revealed significant genetic variability among yield and yield-contributing traits. The study highlighted traits with high heritability and genetic advance, indicating the potential for genetic improvement through selection. Notably, certain genotypes like MGG-336, MGG-351, MGG-348, and Vijetha SRPM-26 exhibited superior attributes in terms of yield. The findings contribute to understanding the genetic basis of green gram traits, providing valuable insights for crop improvement strategies. Further exploration of the genetic interactions underlying yield traits could enhance breeding programs aimed at enhancing green gram productivity and resilience.

References

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How to cite this article

Thanniru Bhavya Sri, I.R. Delvadiya, Murakonda Sai Dinesh and A.V. Ginoya (2024). Exploring Genetic Variability, Correlation, and Path Coefficient Assessment for Yield and its Attributing Traits in Summer Green Gram (Vigna radiata L.): Insights into Crop Improvement. Biological Forum – An International Journal, 16(1): 260-264.