A multi-trial research was performed to compare some multivariate statistical methods and various stress tolerance indices with the aim of introducing an optimal method for selecting drought-tolerant genotypes of barley. Ten diverse varieties of barley were assayed during four cropping years under irrigated and rain-fed conditions. Drought tolerance and susceptibility indices were calculated. These indices included the stress susceptibility index, mean productivity, tolerance, stress tolerance index, geometric mean productivity, harmonic average productivity, yield (YI), yield stability and linear regression coefficient (b). The studied varieties showed significant differences (p ≤ 0.01) in terms of grain yield and its components. Multivariate statistical techniques including discriminant function analysis and factors analysis along with stress tolerance score (STS) as a function of all conventional indices were applied in order to select high-yield and drought-tolerant varieties. Based on the results of discriminant function analysis, factor analysis and STS, the ‘Kavir’ variety was more tolerant to drought stress and generated the highest yield, compared to other varieties during each year of the four cropping years. The similarity of obtained results from the various methods revealed that STS index due to easier calculation and more accurate than other statistical analyses and indices can be considered as an integrated criterion to identify drought-tolerant genotypes in barley and a broad spectrum of grain crops over all the world.

进行了多项试验研究，比较了一些多元统计方法和各种胁迫耐受性指标，旨在介绍选择大麦耐旱基因型的最佳方法。在灌溉和雨养条件下的四个种植年中，对十种不同的大麦品种进行了分析。计算耐旱性和易感性指数。这些指标包括应力敏感性指数、平均生产率、耐受性、应力耐受指数、几何平均生产率、调和平均生产率、产量（YI）、产量稳定性和线性回归系数（b）。所研究的品种表现出显着差异（p ≤ 0.01) 在粮食产量及其组成方面。应用多变量统计技术，包括判别函数分析和因子分析以及作为所有常规指标的函数的胁迫耐受评分（STS），以选择高产和耐旱品种。根据判别函数分析、因子分析和 STS 的结果，与其他品种相比，'Kavir' 品种在四个种植年度的每一年中都比其他品种更能耐受干旱胁迫并产生最高的产量。