Harnessing parent-offspring regression analysis to develop high-yielding submergence tolerant lines of Oryza sativa L.

  • S. Viswabharathy,
  • Thiyagarajan Thulasinathan,
  • Samuthirapandi Subburaj,
  • F D. Prisca Seeli,
  • Bharathi Ayyenar,
  • Rohit Kambale,
  • Vignesh Mohanavel,
  • Veera Ranjani Rajagopalan,
  • Sudha Manickam,
  • P. Jeyakumar,
  • S. Manonmani,
  • T. Kalaimagal and,
  • M. Raveendran

Abstract

Given the urgency of rising sea levels and the need to sustain food production, developing flood-tolerant crops is essential. The aim of this study was to assess the genetic potential of the cross CO51x13-6 (NIL of CO43Sub1) in the BC2F4 and BC2F5 generations using Parent Offspring regression analysis. Significant variation was observed across a wide range of traits in both generations. The distribution of important traits, including plant height, number of productive tillers per plant, panicle length, and single plant yield, showed a positively skewed and platykurtic curve in both generations, indicating the influence of multiple genes. The correlation and regression coefficients were highly significant for all the recorded traits in this study. The traits with the highest narrow sense heritability were days to fifty percent flowering, followed by stem diameter and spikelet fertility, suggesting that these traits can be effectively utilized for selecting superior genotypes in the early generations.

Keywords: Submergence, parent offspring regression, Skewness, kurtosis, intergenerational correlation, Rice

Published
30-06-2023
How to Cite
S. Viswabharathy, Thiyagarajan Thulasinathan, Samuthirapandi Subburaj, F D. Prisca Seeli, Bharathi Ayyenar, Rohit Kambale, Vignesh Mohanavel, Veera Ranjani Rajagopalan, Sudha Manickam, P. Jeyakumar, S. Manonmani, T. Kalaimagal and, M. Raveendran

Harnessing parent-offspring regression analysis to develop high-yielding submergence tolerant lines of Oryza sativa L.

. 2023. Electronic Journal of Plant Breeding, 14 2, 675-686. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/4786
Issue
Vol 14 No 2 (2023): EJPB
Section
Research Article

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