Screening drought-tolerant genotypes in bread wheat (Triticum aestivum L.) using different multivariate methods

• Published in: Archiv für Acker- und Pflanzenbau und Bodenkunde Vol. 59; no. 5; pp. 685 - 704
• Main Authors: Abdolshahi, Roohollah, Safarian, Abdorahim, Nazari, Maryam, Pourseyedi, Shahram, Mohamadi-Nejad, Ghasem
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01-05-2013; Taylor & Francis Ltd
• Subjects: bread wheat; Crop science; Drought; drought tolerance; factor analysis; Genomics; Studies; tolerance indices; Wheat
• ISSN: 0365-0340; 1476-3567
• DOI: 10.1080/03650340.2012.667080

Wheat (Triticum aestivum L.) is one of the most widely cultivated crops in rainfed areas of Iran, where drought is the main limiting factor on yield. The object of this study was the identification of drought-tolerant genotypes in bread wheat. Forty bread wheat genotypes were tested in separate experiments under drought stress and normal conditions in two years (2009-2010 and 2010-2011). Nine drought-tolerance/susceptibility indices including stress susceptibility index (SSI), mean productivity (MP), tolerance (TOL), stress tolerance index (STI), geometric mean productivity (GMP), yield index (YI), yield stability index (YSI), linear regression coefficient (β) and drought response index (DRI) were determined. Simultanously applied factor analysis used two factors instead of nine indices in this study. Mahdavi was recognized as the most drought-tolerant genotype in both years based on factor analysis. In this study an equation was developed for estimating the Stress Tolerance Score (STS). The results of the equation were identical to those of factor analysis in both years. The equation was much easier to use than factor analysis and is suggested as a screening tool for the identification of drought-tolerant genotypes. In this study, Mahdavi was the most drought-tolerant genotype also corresponding to this equation.