Open AccessEvaluation of drought tolerance indices for barley landraces under irrigated and dry conditions
Author(s) -
Mehdi Feizi,
Mahmood Solouki,
Behzad Sadeghzadeh,
Barat Ali Fakheri,
Seyed Abolghasem Mohammadi
Publication year - 2020
Publication title -
bioscience journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 19
eISSN - 1981-3163
pISSN - 1516-3725
DOI - 10.14393/bj-v36n5a2020-41864
Subject(s) - drought stress , grain yield , drought tolerance , moisture stress , principal component analysis , biology , agronomy , water stress , yield (engineering) , zoology , genetic variability , horticulture , genotype , mathematics , moisture , statistics , chemistry , biochemistry , materials science , organic chemistry , gene , metallurgy
Barley cultivation for drought areas requires reliable assessment of drought tolerance variability among the breeding germplasms. Hence, 121 barley landraces, advanced breeding lines and varieties were evaluated under both moisture non-stress and stress field conditions using a lattice square (11×11) design with two replications for each set of trials. Twelve drought tolerance indices (SSI, TOL, MP, GMP, STI, YI, YSI, HM, SDI, DI, RDI and SSPI) were used based on grain yield under normal (Yp) and drought (Ys) conditions. Analysis of variance showed a significant genetic variation among genotypes for all indices with the exception of TOL and SSPI indices. Yp had a very strong association with Ys (r=0.92**) that indicates high yield potential under non-stress can predict better yield under stress conditions. Yp and Ys were positively and significantly correlated with MP, GMP, STI, YI, HM and DI indices, whereas they were negatively correlated with SSI and SDI. In principal component analysis (PCA), the first PC explained 64% of total variation with Yp, Ys, MP, GMP, STI, YI, HM and DI. The second PC explained 35.6% of the total variation and had positive correlation with SSI, TOL, SDI and SSPI. It can be concluded that MP, GMP, STI, YI, HM and DI indices with the most positive and significant correlation with yield at both non-stress and stress environments would be better indices to screen barley genotypes, although none of the indices could undoubtedly identify high yield genotypes under both conditions.