English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The present study was carried-out at the Experimental Farm of Sakha Agricultural Research Station, during2017/2018 and 2018/2019 seasons to evaluate eighteen bread wheat genotypes including fourteen promising lines and fourcultivars namely; Sakha 93, Sakha 95, Giza 171 and Shandaweel 1 under normal irrigation and deficit conditions.Additionally, six selection indices were used to identify the best genotypes that might be grown under water deficitcondition using different drought indices namely; Mean Productivity (MP), Harmonic Mean (HM), Geometric MeanProductivity (GMP), Stress Tolerance Index (STI), Yield Index (YI), and Modified Stress Tolerance Index (MSTI). Theresults indicated that, the effect of the irrigation treatments, genotypes and their interactions were significantly different inmost studied characteristics. The means of all genotypes significantly decreased in all characters except for, prolinecontent that was increased in the two growing seasons under water deficit conditions compared with to normal condition.Genotype 5 recorded the highest number of spikes /m², while the heaviest 1000-kernel weight was produced from Giza171 under normal and water deficit condations. Sakha 95 gave the highest values for grain yield under both conditions.Based on drought indices HM, GMP, STI, YSI and MSTI, genotype 3 followed by Sakha 95, Shandweel 1, genotype 5and Giza 171 were identified as suitable genotypes for water deficit conditions. The cluster analysis classified the testedgenotypes into five main different groups, each group contained similar genotypes similar based on grain yield and stresstolerance indices. The fifes cluster consisted of one genotype (Sakha 95) that recorded high grain yield and stresstolerance degree followed by the third cluster which consisted of genotypes 3, 5, Giza 171 and Shandaweel 1 which had amoderate grain yield and tolerance to water deficit genotypes. So these genotypes might be used as parents in breedingprogrames to produce new genotypes with desirable characters related to drought tolerance.

Tolerance Indices and Cluster Analysis to Evaluate Some Bread Wheat Genotypes under Water Deficit Conditions