Haba ALatrash⃰⁽²⁾, Mohamad Shfiek Hakim⁽¹⁾, Abdulah ALYoussef⁽²⁾  Mohamad Hamndosh⁽¹⁾and Ahmad Shaaban⁽³⁾

(1)- Dept. of Field Crops, Faculty of Agriculture, Aleppo University

(2)- General commission for scientific Agriculture research

(3)- Dept. of Biotech Engineering, Faculty of Technological Engineering, Aleppo
University

(*Corrsponding author: Hiba Al-Atrash. Email: hiba.fad.16@gmail.com).

Received: 07/12/2019                                Accepted: 11/01/2020

Abstract

• The study was carried out at AL-Sfireh location, Scientific Agriculture Research Center in Aleppo, GCSAR, during 2016/2017 season, in order to select drought tolerance chickpea genotypes. (28) chickpea genotypes and two checks (Ghab4 and Ghab5) were planted in tow experiments (under water stress and irrigated conditions) in randomized complete block design with tow replications. The seed yield trait and the decrease in yield under water stress condition were estimated. Drought tolerance indices mean productivity (MP), geometric mean productivity (GMP), yield index (YI), tolerance index (TOL), stress susceptibility index (SSI). The correlation between tolerance indices and yield trait under both treatments was estimated for determined the most effective indices which were used to estimate Principal component analysis (PCA) for genotypes in order to divided into groups based on drought tolerant. The data were analyzed by (GGB)Biplot design to identify the best genotype under the two water conditions. The results showed significant lose in grain yield between the genotypes, where the genotype (23) showed highest grain yield under water stress (459.9) g, whereas the genotype (14) showed highest yield under irrigated condition (638.7) g. The STI, MP, HM and GMP were the superior criteria for selection of high yielding genotypes and these genotypes (3،14،18،23) were found to be superior genotypes based on drought indices. Principal component analysis based on drought tolerance explained 99% of the variation. Further, group-1 was characterized to have the genotypes with superior performance under the two water conditions, which included the genotypes (3، 4، 10، 11، 12، 14، 17، 18 and 23). Based on (GGB) biplot analysis, the genotypes (23 and 14) were declared as most stable and high yield under both water conditions.

Keyword: Cicer arietinum, Drought Tolerance Indices, Principal component
analysis, (GGB) biplot

Full paper in Arabic: pdf