Abstract

The aim of this study was to identify stable rice genotypes tolerant to a salt stress environment and to identify ideal mega-environments using AMMI (additive main effects and multiplicative interaction) stability model analysis. A total of 13 rice genotypes and three salt tolerance checks were evaluated across 13 salt stress locations (alkaline and saline) for the two kharif seasons of 2014 and 2015. Genotype CSR 36 (CHK3) was found to be the most ideal of those tested. Genotypes CHK2 (CST 27) and IR 87952-1-1-1-2-3-B (G05) were found to be the most stable, with above average yields. The check CSR 36 (CHK3) genotype was the best performer in the majority of the environments studied, followed by CSR 27 (CHK2) and IR 87952-1-1-1-2-3-B (G05) which were the best genotypes in the mega-environment consisting of 21 environments evaluated across stress locations and year combinations. Overall, the most promising genotype (IR 87952-1-1-1-2-3-B) had high mean yield and stability and could be used for commercial cultivation or used as donor for breeding programs across salt-affected soils. The genotypes GN13 (IR 87938-1-1-2-1-3-B) and GN11 (IR 87938-1-2-2-1-3-B) showed 60–80% yield advantage at specific salt stress locations, showing that these genotypes could be used for specific environments of salt-affected soils in India.

Highlights

  • Soil salinity is adversely affecting agricultural productivity in approximately 900 million ha worldwide (FAO 2014)

  • Thirteen putative salt-tolerant rice genotypes used in this study were obtained from the International Rice Research Institute (IRRI), Philippines, National Agricultural Research and Extension System (NARES) partners and Indian Council of Agricultural Research (ICAR) institutes of India

  • Both the main effects genotype (G), environment (E) and their interaction (GEI) components were statistically significant at p B 0.001) The environmental component explains the largest proportion of variation (62.64%), followed by G 9 E interaction components, with the genotypic component (G) explaining the least variation

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Summary

Introduction

Soil salinity is adversely affecting agricultural productivity in approximately 900 million ha worldwide (FAO 2014). In India, 6.73 million ha are current affected by salt degradation, with the extent of saltaffected areas predicted to increase due to the repercussions of climate change, thereby threatening. S. Geetha Anbil Dharmalingam Agricultural College and Research Institute, Trichy, Tamil Nadu, India. R. Gill Punjab Agricultural University, Ludhiana, Punjab, India. Yadav Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh, India

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