Unravelling genetic variability and trait association studies in red sorghum (Sorghum bicolor L. Moench) genotypes

DOI: 10.37992/2023.1403.138

  • Tanisha Nayak,
  • R. Chandirakala,
  • D. Kavithamani,
  • N. Manikanda Boopathi and,
  • K. Chandrakumar

Abstract

Sorghum (Sorghum bicolor L. Moench)  is a significant crop known for its resilience, versatility, and nutritional value. The research aimed to enhance yield and nutritional quality through the assessment of genetic variability, heritability, correlations, and causal relationships among traits. Variance component analysis in the F2 population of red sorghum genotypes from the cross between Paiyur 2 and IS 21731 revealed the influence of the environment on trait expression. High variability in flag leaf traits and single plant yield was observed. Traits such as plant height, stem girth, and flag leaf length exhibited high heritability and genetic advancement which indicated that these traits are influenced by additive genetic factors and are suitable for selection processes. Positive correlations were identified between single plant yield and traits like panicle weight and primary branches and hence selection based on these characteristics could directly contribute to improved yield in sorghum.  Path analysis highlighted the direct and indirect effects of traits on grain yield with panicle weight emerging as a major driver. This study provided valuable insights into effective breeding strategies emphasizing traits such as panicle weight, primary branches, and seed index for enhancing both yield and nutritional quality in red sorghum genotypes.

Keywords: red sorghum, nutritional profiling, genetic variability, correlations

Published
03-10-2023
How to Cite
Tanisha Nayak, R. Chandirakala, D. Kavithamani, N. Manikanda Boopathi and, K. Chandrakumar

Unravelling genetic variability and trait association studies in red sorghum Sorghum bicolor L. Moench genotypes

. 2023. Electronic Journal of Plant Breeding, 14 3, 1111-1117. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/4930
Issue
Vol 14 No 3 (2023): EJPB
Section
Research Article

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