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Yield Stability in Bread Wheat Germplasm across Drought Stress and Non‐Stress Conditions
Author(s) -
SardoueiNasab Somayeh,
MohammadiNejad Ghasem,
Nakhoda Babak
Publication year - 2019
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2018.06.0381
Subject(s) - ammi , germplasm , biplot , drought tolerance , agronomy , cultivar , restricted maximum likelihood , mathematics , gene–environment interaction , irrigation , inbred strain , biology , grain yield , microbiology and biotechnology , statistics , genotype , maximum likelihood , genetics , gene
Core Ideas Discriminant function analysis was suitable to select the most desirable drought tolerance indices. Residual maximum likelihood and additive main effects and multiplicative techniques were efficient methods in exploring the genotype × environment interaction. Promising lines were recommended for stress‐prone environments.Suitable screening techniques are required to select wheat ( Triticum aestivum L.) lines exhibiting both high and stable yields in environments where drought stress is commonplace. Two recombinant inbred line (RIL) populations bred from crosses between a drought‐tolerant landrace Roshan and the cultivars Sabalan and Falat were evaluated in the field under both well‐watered and water‐stressed conditions. The drought stress was imposed by stopping irrigation at the flowering stage. Discriminant function analysis, based on a set of stress tolerance/sensitivity indices, was applied to identify the most desirable drought tolerance criterion. To quantify the size of the variation due to genotype × environment interaction (GEI), the grain yield over field trials was analyzed using the residual maximum likelihood (REML). The additive main effects and multiplicative interaction (AMMI) model was employed to determine the yield stability of the RILs. Finally, we screened a set of 10 drought‐tolerant lines with consistent performance across the test environments. The results of the AMMI and REMEL analysis showed that environment was the major source of variability (69.98%) followed by GEI (12%). The two AMMI biplots revealed that a set of three RILs yielded stably in all environments with the high mean yield response. These promising lines should be valuable as donors of favorable alleles to wheat improvement programs targeting stress‐prone environments.