In this study, the role of selenium nanoparticles (SeNPs, 10 mg·L⁻¹) has been investigated in modulating the negative effects of drought and heat stresses on eight bread wheat (Triticum aestivum L.) genotype seedlings. Those genotypes included Giza-168, Giza-171, Misr-1, Misr-3, Shandweel-1, Sids-1, Sids-12, and Sids-14. The study included six treatments as follows: regular irrigation with 100% Field Capacity (FC) at a temperature of 23 ± 3 °C (T1), drought stress with 60% FC (T2), heat stress of 38 °C for 5 h·day⁻¹ (T3), foliar spray of 10 mg·L⁻¹ of SeNPs only (T4), a combination of drought stress with foliar spray of 10 mg·L⁻¹ of SeNPs (T5), and heat stress with foliar spray of 10 mg·L⁻¹ of SeNPs (T6). The experiment continued for 31 days. Foliar application of SeNPs improved the plant growth, morpho-physiological and biochemical responses, and expression of stress-responsive genes in wheat (T. aestivum L.) seedlings. Overall, morpho-physiological traits such as plant height (PH), shoot fresh weight (SFW), shoot dry weight (SDW), root fresh weight (RFW), and root dry weight (RDW) of wheat genotypes grown under different conditions ranged from 25.37–51.51 cm, 3.29–5.15 g, 0.50–1.97 g, 0.72–4.21 g, and 0.11–1.23 g, respectively. From the morpho-physiological perspective, drought stress had a greater detrimental impact on wheat plants than heat stress, whereas heat stress significantly impacted the expression of stress-responsive genes. Stress responses to drought and heat varied between wheat genotypes, suggesting that different genotypes are more resilient to stress. Exogenous spraying of 10 mg·L⁻¹ of SeNPs improved the photosynthetic pigments, photosynthetic rate, gas exchange, and transpiration rate of wheat plants and enhanced drought and heat tolerance by increasing the activity of antioxidant enzymes including catalase (CAT), ascorbate peroxidase (APX), and superoxide dismutase (SOD) and the expression level of stress-responsive genes. Our results showed that spraying wheat seedlings with 10 mg·L⁻¹ of SeNPs enhanced SOD activity for all genotypes as compared to the control, with the Sids-12 genotype having the highest value (196.43 U·mg⁻¹ FW·min⁻¹) and the Giza-168 genotype having the lowest (152.30 U·mg⁻¹ FW·min⁻¹). The expression of PIP1, LEA-1, HSP70, and HSP90 stress-responsive genes was more significant in tolerant genotypes (Giza-171 and Giza-168) than in sensitive ones (Misr-1 and Misr-3) in response to drought and heat stresses. Under stress conditions, the shoot and root fresh weights, photosynthetic pigment content, stomatal conductance (SC), and transpiration rate (TR) were positively correlated with plant height (PH), while root and shoot dry weights, malondialdehyde (MDA), proline, hydrogen peroxide (H₂O₂), and APX were negatively correlated. Multivariate analysis and biplot results revealed that genotypes Giza-168, Giza-171, Sids-12, and Sids-14 performed well in both stress situations and were classified as stress-tolerant genotypes. These best genotypes may be employed in future breeding projects as tools to face climate change. This study concluded that various physio-biochemicals and gene expression attributes under drought and heat stress could be modulated by foliar application of SeNPs in wheat genotypes, potentially alleviating the adverse effects of drought and heat stress.

Wheat (Triticum aestivum L.) is a key food crop, accounting for approximately 765 million tons produced worldwide. The present study evaluated 16 wheat genotypes using 19 morphological and phenological traits, 16 molecular markers (Inter Simple Sequence Repeats and Start Codon Targeted; ISSR and SCoT) and rbcL and matK plastid gene barcoding. The 16 wheat genotypes showed significant genetic variation using the markers assayed. Cell plot of phenological parameters revealed significant differences among the 16-day-old seedlings of wheat genotypes at Z1.1 growth stage. Collectively, W2 genotype had the lowest shoot length (SL), length of first internodes (LFI) and leaf area (LA) values, while W8 genotype had the highest diameter of first internode (DFI) and LA values. Furthermore, W7 genotype had the maximum plant biomass (PB) and leaf width (LW) values. Geometric models grouped wheat kernels into “rounded” and “nearly elongated”. Estimates of heritability (H²) for these morphological characters ranged from 4.93 to 100%. The highest H² values were recorded for root number (RN) (100%) followed by SL (88.72%), LFI (88.30%), LA (87.76%) and Feret diameter (86.68%), while the lowest H² value was recorded for DFI (4.93%). Furthermore, highly significant genotypic and phenotypic correlations were also observed among those traits. Reproducible fingerprinting profiles and high levels of polymorphism (PPB%) of SCoT (95.46%) and ISSR (82.41%) were recorded, indicating that they are effective tools for detecting genetic variation levels among wheat genotypes. The informativeness of markers were measured through estimation of polymorphic information content (PIC), resolving power (RP) and marker index (MI). The RP and PPB% of SCoT were significantly higher compared to those of ISSR. Comparatively, the two molecular markers were effective for studying genetic diversity among wheat genotypes, but SCoT markers were more informative. Moreover, based on the two chloroplast DNA regions (rbcL and matK), MatK was found to be more reliable for differentiating among T. aestivum genotypes. Taken together, using all the studied attributes, a clear taxonomic relationship can be used to identify T. aestivum species and improve their pragmatic production and development.

Barley production is essential in Egypt. In the present study, 15 different six-rowed Egyptian barley cultivars were studied. To differentiate between the different cultivars under study in terms of morphological characteristics and ISSR, molecular characterization reactions were carried out. Moreover, four cultivars (Giza 123, Giza 126, Giza 136, and Giza 138) were selected for further studies using scanning electron microscopy (SEM). Computational analysis of the DNA barcoding sequences of the two plastid markers rbcL and matK was executed, and the results were deposited in the NCBI database. The morphological traits showed low statistical significance among the different cultivars under study via the data collected from two seasons, suggesting that the mean field performance of these Egyptian cultivars may be equal under these conditions. The results showed that the phylogenetic tree was divided into four groups, one of which contained the most closely related genotypes in the genetic distance, including Giza 124, Giza 130, Giza 138, Giza 136, and Giza 137, which converge in the indicative uses of farmers. The seed coat of the studied cultivars was “rugose”. The elevation folding of the rugose pattern ranged from 11 ± 1.73 µm (Giza 126) to 14.67 ± 2.43 µm (Giza 123), suggesting variation in seed quality and its uses in feed and the food industry. According to the similarity matrix of ISSR analysis, the highest similarity value (93%) was recorded between Giza 133 and Giza 132, as well as between Giza 2000 and Giza 126. On the other hand, the lowest similarity value (80%) was recorded between Giza 130 and (Giza 133 and Giza 132), indicating that these cultivars were distantly related. Polymorphism information content (PIC) ranged from 0.26 for the primer ISSR UBC 835 to 0.37 for the primers ISSR UBC 814 and ISSR UBC 840. The current study showed that the matK gene is more mutable than the rbcL gene among the tested cultivars.

This investigation was carried out at Bahteem farm Genetic resources research department ,field crop research institute , Agricultural Research Center ,Giza , Egypt during two growing seasons 2018/19 and 2019/20. Twenty landraces with two faba bean check landraces were grown in Randomized Complete Block Design (RCBD) with 3 replications to determine the genetic variability, morphological diversity and relationships among these landraces for agro-morphological and biochemical characteristics. Analysis of variance revealed high variability among all measured genotypes with respect to all agronomic and protein characteristic studied traits. Principle Component Analysis (PCA) was performed; the first principal component had 54.40% and 37.90% of the total variation (PC1) and the second principle component (PC2) explained 14.30% and 24.90% of the total variation for morphological and biochemical traits, respectively . The cumulative ratio of the first six primary components explained all variations of total variation. The studied faba bean landraces were distribution among PC biplot and clustered indicated distribution of studied material (matched with measured checks) by cluster or heat-map analysis. The results clustered or distributed differently based on morphological and biochemical traits. Then, GT biplot used to clear the relationship among the studied faba bean traits and landraces, showing that number of seeds and pods were the most positive effective traits in faba bean seed yield, causing highest harvest index. Results revealed that landrace G16 and G19 with the highest check Giza716 recorded the highest values of seed yield, number of seeds, number of pods and harvest index. GT biplot graph is a good preferred alternative procedure for each of correlation and cluster analyses and considered an effective technique beside or instead of cluster analysis for facility the interpretations. From all results, this work has provided useful data for elaboration of strategies for the conservation and sustainable management of the better genetic source germplasm and for Vicia faba improvement genetically.

Faba bean (Vicia faba L.)(V. faba), an essential legume in Egypt, is severely impacted by broomrape (Orobanche crenata) (O. crenata), a parasitic weed that feeds on roots, making chemical control difficult without harming the crop. Three faba bean genotypes (Giza-843, Misr-3, and Sakha-3) along with nine pure lines were evaluated for resistance to broomrape in field trials (2021–2023) using gene barcoding (rbcL, rpoC1), ten Start Codon Targeted (SCoT) markers, and phonological and agronomic traits to identify resistance sources. Five faba bean genotypes—Giza 843, Lines 2, 7, 8, and 9—significantly reduced all broomrape growth and productivity traits. Line 5 had the lowest spike length, fresh and dry spike weight, number of spikes/m², and number of capsules/spike across both seasons. Genotypes Line 5, Line 6, and Misr 3 exhibited the highest seed yield per plot and hectare under normal and broomrape-infested conditions. Line 4 showed the lowest yield reductions, followed by Lines 9 and 8. The study generated 103 amplicons with a polymorphism rate of 51.46%, with SCoT-10 being the most informative marker, revealing 69% polymorphism and affecting 13 amplicons. Three faba bean genotypes showed significant genetic diversity, high seed output, and effectively reduced broomrape growth, highlighting their potential for genetic improvement and sustainable use in future research. Four faba bean genotypes, namely Sakha 3, Line 2, Line 4, and Line 9, are promising genotypes for combating broomrape infestation.