Among cereals, barley is tolerant to high levels of salinity stress; however, its performance and global production are still dramatically affected by salinity. In this study, we evaluated the behavior of a set of advanced genotypes of barley with aim of assessing the physiological and molecular mechanisms involved in salinity tolerance. The experiment was conducted using a hydroponic system at optimal growing temperature and photoperiod conditions. The results of the analysis of variance (ANOVA) showed significant effects for salinity treatments and genotypes in terms of all measured traits. Salinity stress significantly increased the root and shoot Na+ contents and root-to-shoot Na⁺ and K⁺ translocations. In contrast, other physiological features, gas exchange-related traits, as well as root and shoot biomasses were significantly decreased due to salinity stress. Based on the results of the multi-trait genotype ideotype distance index (MGIDI) as a multiple-traits method, G12 and G14 were identified as the superior salt-tolerant advanced genotypes. In the molecular analysis, salinity stress significantly increased the mean relative expression of HvSOS1, HvSOS3, HvHKT2, HvHKT3, HvNHX1, and HvNHX3 genes by 12.87-, 3.16-, 3.65-, 2.54-, 2.19-, and 3.18-fold more than the control conditions, respectively. The results of heatmap-based correlation and principal component analysis (PCA) revealed a clear association pattern among measured traits and expression data. Indeed, these associations confirmed relationships between tolerance pathways and physiological functions. In conclusion, the genotype G14 (D10*2/4/Productive/3/Roho//Alger/Ceres362-1-1) responded well to salinity stress and showed a better expression pattern of studied genes than other genotypes. Hence, this promising genotype can be a candidate for further assessments before commercial introduction.

Aegilops and Triticum spp. are two ideal gene pools for the breeding purposes of wheat. In this study, a set of Iranian accessions of Aegilops tauschii Coss. and Triticum aestivum L. species were evaluated in terms of some physiological and biochemical features under control and water-deficit stress conditions. Moreover, several simple sequence repeat (SSR) markers were employed to identify marker loci associated with the measured traits. The results indicated that water-deficit stress significantly affected all measured traits and the highest reductions due to water-deficit were recorded for shoot fresh and dry biomasses (SFB and SDB), stomatal conductance (Gs), leaf relative water content (RWC), and chlorophyll b content (Chl b). In molecular analysis, 25 SSR markers generated 50 fragments, out of which 49 fragments (98%) were polymorphic. Furthermore, the genetic variation observed within species is more than between species. The results of cluster and Bayesian model analysis classified all evaluated accessions into three main clusters. Under control and water-deficit stress conditions, 28 and 27 significant marker-trait associations (MTAs) were identified, respectively. Furthermore, 10 MTAs showed sufficiently stable expression across both growth conditions. Of these, the markers Xgwm-111, Xgwm-44, Xgwm-455, Xgwm-272, and Xgwm-292 were associated with multiple traits. Hence, these markers could serve as useful molecular tools for population characterization, gene tagging, and other molecular breeding studies.

Cumin (Cuminum cyminum) is an annual plant from Apiaceae family that is cultivated in Iran as landraces. The most important chemical composition of the cumin essential oil was cuminaldehyde. In this research, the effect of different landraces and growth regulators was evaluated on callus induction, and best callus was used for amount of cuminaldehyde content. Node, root, leaf and hypocotyl explant from seedlings of Birjand and Qaen landraces were cultured on MS and MS5 medium supplemented with different concentrations of 2, 4-D and Kin. This experiment has been carried out in a completely randomised design with 3 replications. Percentage of callogenesis, callus volume, fresh and dry weight were measured. The best treatment for callus induction was 2.5 mg/L 2, 4-D and 0.5 mg/L Kin in MS5 medium. The best callus result was evaluated for cuminaldehyde content. An amount of 5.7% cuminaldehyde was measured using hydrodistillation method.

Background: High-throughput phenotyping and genomic selection accelerate genetic gain in breeding programs by advances in phenotyping and genotyping methods. This study developed a simple, cost-effective high-throughput image analysis pipeline to quantify digital images taken in a panel of 286 Iran bread wheat accessions under terminal drought stress and well-watered conditions. The color proportion of green to yellow (tolerance ratio) and the color proportion of yellow to green (stress ratio) was assessed for each canopy using the pipeline. The estimated tolerance and stress ratios were used as covariates in the genomic prediction models to evaluate the effect of change in canopy color on the improvement of the genomic prediction accuracy of different agronomic traits in wheat.Results: The reliability of the high-throughput image analysis pipeline was proved by three to four times of improvement in the accuracy of genomic predictions for days to maturity with the use of tolerance and stress ratios as covariates in the univariate genomic selection models. The higher prediction accuracies were attained for days to maturity when both tolerance and stress ratios were used as fixed effects in the univariate models. The results of this study indicated that the Bayesian ridge regression and ridge regression-best linear unbiased prediction methods were superior to other genomic prediction methods which were used in this study under terminal drought stress and well-watered conditions, respectively.Conclusions: This study provided a robust, quick, and cost-effective machine learning-enabled image-phenotyping pipeline to improve the genomic prediction accuracy for days to maturity in wheat. The results encouraged the integration of phenomics and genomics in breeding programs.

Purpose: To evaluate the total content of polyphenols and the free radical scavenging activity of three different extracts of three types of tea clone 100 (black, green and white), and their anti-proliferative effects on colorectal cancer. Methods: Five major polyphenols, viz, (+)-catechin, (-)-epicatechin, (-)-epigallocatechin, (-)-epicatechin gallate and (-)-epigallocatechin gallate, were identified using thin layer chromatography (TLC). Catechins were quantified by high performance liquid chromatography (HPLC). Antioxidant activity was measured by DPPH radical scavenging method, while 3-(4, 5-dimethylthiazol-2-yl)-2, 5- diphenyltetrazolium bromide (MTT) assay was employed for the determination of cell viability of colon cell line HCT-116 after 24 and 48 h. Results: The aqueous methanol (70 %) extract of white tea yielded the highest amount of polyphenols (36.67 ± 0.54 mg GAE/g dry weight). The DPPH radical scavenging activity of white tea was 71.74 ± 0.42 %, and it produced high anti-proliferation activity against colorectal cancer cell line HCT-116 (86.06 ± 0.54 %). Conclusion: White tea extract possesses high DPPH radical scavenging activity, and exerts good antiproliferative effects against colorectal cancer cell line HCT-116, most likely due to its catechin content. Keywords: Camellia sinensis L., Catechin, DPPH radical scavenging, Anti-cancer