Scientific Reports (Aug 2021)

Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature

  • P. Senguttuvel,
  • N. Sravanraju,
  • V. Jaldhani,
  • B. Divya,
  • P. Beulah,
  • P. Nagaraju,
  • Y. Manasa,
  • A. S. Hari Prasad,
  • P. Brajendra,
  • C. Gireesh,
  • M. S. Anantha,
  • K. Suneetha,
  • R. M. Sundaram,
  • M. Sheshu Madhav,
  • M. D. Tuti,
  • L. V. Subbarao,
  • C. N. Neeraja,
  • V. P. Bhadana,
  • P. R. Rao,
  • S. R. Voleti,
  • D. Subrahmanyam

DOI
https://doi.org/10.1038/s41598-021-95264-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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Abstract Recent predictions on climate change indicate that high temperature episodes are expected to impact rice production and productivity worldwide. The present investigation was undertaken to assess the yield stability of 72 rice hybrids and their parental lines across three temperature regimes over two consecutive dry seasons using the additive main effect and multiplicative interaction (AMMI), genotype and genotype × environment interaction (GGE) stability model analysis. The combined ANOVA revealed that genotype × environment interaction (GEI) were significant due to the linear component for most of the traits studied. The AMMI and GGE biplot explained 57.2% and 69% of the observed genotypic variation for grain yield, respectively. Spikelet fertility was the most affected yield contributing trait and in contrast, plant height and tiller numbers were the least affected traits. In case of spikelet fertility, grain yield and other yield contributing traits, male parent contributed towards heat tolerance of the hybrids compared to the female parent. The parental lines G74 (IR58025B), G83 (IR40750R), G85 (C20R) and hybrids [G21 (IR58025A × KMR3); G3 (APMS6A × KMR3); G57 (IR68897A × KMR3) and G41 (IR79156A × RPHR1005)] were the most stable across the environments for grain yield. They can be considered as potential genotypes for cultivation under high temperature stress after evaluating under multi location trials.