Estimating Genetic Parameters in Blackgram (Vigna mungo (L.) Hepper) Inter-Varietal Crosses through Generation Mean Analysis

Author: A.V.S. Durga Prasad and E. Murugan

Journal Name:

Download PDF

Abstract

In two inter-varietal blackgram crosses, the nature and amount of gene action were examined using six-generation means for seed yield and its components. According to the generation mean analysis (GMA) results, more than a basic additive-dominance model was needed. Since scaling tests are statistically significant, an epistatic model should be explored instead. Additionally, the GMA demonstrated that additive, dominance, and epistatic interactions were the determinants of seed yield and its characteristics. Dominance x dominance and duplicate dominant were the most common forms. Therefore, it isn't easy to improve these characteristics using simple selection methods because these methods do not work to stabilize superior lines. To overcome this obstacle, the pedigree breeding technique postpones the selection of elite lineages until subsequent generations. Epistatic interactions, on the other hand, call for supplementary approaches. Pedigree breeding with one or two cycles of recurrent selection is a good strategy in this direction. These strategies are beneficial for finding superior lines that have higher seed yields and other related traits.

Keywords

Generation mean analysis, Scaling tests, Pedigree Breeding, Epistatic interactions, Blackgram

Conclusion

Our extensive investigation into gene activities governing nine crucial attributes associated with yield and its components, as elucidated by the analysis of generation mean, has uncovered a rich tapestry of interactions, including additive, dominance, and epistatic dynamics. The nuanced exploration, inspired by two inter-varietal blackgram crosses, surpasses the confines of a simplistic additive-dominance model. The significance of our findings is underscored by statistically significant scaling tests, urging the adoption of an epistatic model for a comprehensive understanding of the genetic architecture. The Generation Mean Analysis (GMA) provides a comprehensive insight into the determinants of seed yield and its characteristics, with dominance × dominance and duplicate dominant interactions emerging as predominant forms. This highlights the intricate nature of gene actions influencing the phenotypic outcomes. However, the complexity is further compounded by the limitations of basic selection methods, which fall short in effectively amplifying certain traits. In response to these challenges, our study advocates for the strategic implementation of the pedigree breeding method. By deferring the selection of elite lineages to subsequent generations, this approach aims to enhance overall breeding efficacy. This becomes particularly crucial in stabilizing superior lines, a feat unattainable through simple selection methods alone. The recognition of the intricate role played by epistatic interactions necessitates additional measures, leading us to propose the integration of pedigree breeding with one or two cycles of recurrent selection. This integrated breeding strategy not only proves desirable but also successful in addressing the complexities posed by gene interactions. By strategically postponing elite lineage selection and incorporating recurrent selection, the approach optimally navigates the challenges presented by additive, dominance, and epistatic interactions. Consequently, it emerges as a robust methodology for identifying superior lines with elevated seed yields and positive yield components.

References

-

How to cite this article

A.V.S. Durga Prasad and E. Murugan (2022). Estimating Genetic Parameters in Blackgram (Vigna mungo (L.) Hepper) Inter-Varietal Crosses through Generation Mean Analysis. Biological Forum – An International Journal, 14(2a): 623-627.