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A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

Computer Modeling in Engineering & Sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrobol Geetika Jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi Bansal Razaz Waheeb Attar Mosiur Rahman Brij B.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India university Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have been developed to support the challenges in intelligent healthcare ***,because mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep behaviour

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Solid Waste Management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa Muhammad Ihsan Atiqe Ur Rahman Noorah Ayed Alsorayea Hamiden Abd El-Wahed Khalifa Department of Mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： Hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

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Rosa moschata ameliorates haloperidol-induced Parkinson's disease via reduction of neurodegeneration and oxidative stress

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Asian Pacific Journal of Tropical Biomedicine 2025年第1期15卷 24-33,I0013-I0015页

作者： Badriyah S.Alotaibi Uzma Saleem Maryam Farrukh Zunera Chaudhary Nabia Anwar Ifat Alsharif Abdullah R.Alanzi Tasahil S.Albishi Fatima A.Jaber Wedad Saeed Al-Qahtani Muhammad Ajmal Shah Department of Pharmaceutical Sciences College of PharmacyPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Punjab university College of Pharmacy University of the PunjabLahore-54000Pakistan Department of Pharmacology Faculty of Pharmaceutical SciencesGovt.College UniversityFaisalabad-38000Pakistan Department of Biology Jamoum University CollegeUmm Al-Qura University-21955 MakkahSaudi Arabia Department of Pharmacognosy College of PharmacyKing Saud UniversityRiyadh-11451Saudi Arabia Department of Biology College of SciencesUmm Al-Qura UniversityMakkahSaudi Arabia Department of Biological Sciences College of ScienceUniversity of JeddahJeddah 21589Saudi Arabia Department of Forensic Sciences College of Criminal JusticeNaif Arab University for Security SciencesP.O.Box 6830Riyadh 11452Saudi Arabia Department of Pharmacy Hazara UniversityMansehra-21300Pakistan

Objective:To investigate the effect of Rosa moschata(***)extract on haloperidol-induced Parkinson’s disease(PD)in ***:Haloperidol(1 mg/kg)was given to rats intraperitoneally for 3 weeks for induction of *** extract(150,300 and 600 mg/kg)was administered orally for 21 *** neuroprotective role of *** leaf extract in PD was explored by performing neurobehavioral tests and RT-PCR analysis and measuring neurotransmitters and oxidative stress ***:An improvement in motor functions and muscle strength was observed in PD rats treated with *** *** levels of dopamine,serotonin,noradrenaline,superoxide dismutase,catalase,glutathione,and superoxide dismutase were significantly increased(P<0.001),whereas acetylcholinesterase and malondialdehyde levels were markedly decreased by treatment with *** extract(P<0.001).The extract also markedly downregulated the mRNA expressions of IL-1β,α-synuclein,IL-1α,and TNF-αin brain ***,histopathological analysis indicated that neurofibrillary tangles and plaques were noticeably decreased in a dose-dependent manner in PD rats treated with *** ***:*** extract alleviates haloperidol-induced PD in rats by reducing oxidative stress and *** may be used for management and treatment of *** additional studies are required to confirm its efficacy and molecular mechanisms.

关键词： Parkinson’s disease Rosa moschata Neurotransmitter,α-Synuclein Haloperidol Neurodegeneration

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Tunable and wideband high-performance rare earth-doped Ni-Mg-Cu-Zn nano ferrite-based meta-absorbers for C-band application

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Journal of Rare Earths 2025年第1期43卷 124-132,I0005页

作者： Majid Niaz Akhtar Magbool Alelyani Fatimah Mohammed AAlzahrani Abdullah Almohammedi Sabih Qamar MABaqir MIrfan Muhammad Azhar Khan Kheir SAlbarkaty ZAAlrowaili MSAl-Buriahi Institute of Physics The Islamia University of Bahawalpur63100BahawalpurPakistan Department of Radiological Sciences College of Applied Medical ScienceKing Khalid University61421bhaSaudi Arabia Department of Chemistry College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabi Department of Physics Faculty of ScienceIslamic University of Madinah42352.Saudi Arabia Department of Chemical Engineering Muhammad Nawaz Sharif University of Engineering and Technology(MNSUET)60000MultanPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadSahiwal Campus57000Pakistan Department of Physics Umm Al-Qura UniversityMakkah24382Saudi Arabia Department of Physics College of ScienceJouf UniversityP.O.Box:201474331SakakaSoudi Arabia Department of Physics Sakarya University6900SakaryaTurkey

Due to advanced technology,electromagnet interference and dissipation problems in the electronic and portable devices at GHz range are increasing *** absorbing materials with outstanding electromagnetic properties,wide bandwidth,and strong absorption are highly *** present investigation deals with the preparation of Ni-Mg-Cu-Zn(NMCZ)substituted nano ferrites with composition of Ni_(0.3)Mg_(0.2)Cu_(0.3)Zn_(0.2)X_(0.02)Fe_(1.98)O_(4)(X=Nd,Ho,Pr,Gd,Yb).X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),field emission scanning electron microscopy(FESEM),transmission electron microscopy(TEM),a vibratory sample magnetometer(VSM),and a Vector network analyzer(VNA)were used to investigate these rare earth-doped nanocrystalline ferrites'*** reveals the single spinel phase structure in all Ni-Mg-Cu-Zn *** spectroscopy shows the presence of tetrahedral and octahedral bands of spinel *** images reveal the lowest agglomeration for the Ho-doped NMCZ nano-spinel ferrites *** images show the hexagon shapes of the Yb-and Nd-doped NMCZ ***-doped NMCZ ferrites show more coercivity than other rare earth metals substituted NMCZ nanocrystalline *** analysis was used to calculate the magnetic features like initial permeability,magnetic anisotropy constant,remanence,coercivity,and magnetic ***-frequency switching field distributions(SFD)analyses were also *** characteristics such as losses,permittivity,modulus,Q,ac conductivity,and impedance of the Nd^(-),Ho^(-),Pr^(-),Gd^(-),Yb-doped Ni-Mg-Cu-Zn ferrites were *** minimum reflection loss(-57.3 dB)is found at 1.4 GHz for Pr-doped Ni-Mg-Cu-Zn ferrite ***,the reflection loss(RL)of-53.9 dB at 2.9 GHz is observed for Ho-doped Ni-Mg-Cu-Zn ferrite *** magnetization,low coercivity,outstanding magnetodielectric,and absorption properties of theNd^(-),Ho^(-),Pr^(-),Gd^(-)and Yb^(-)doped Ni-Mg

关键词： Rare earths Reflection loss Cubic phase Magnetodielectric Ni-Mg-Cu-Zn(NMCZ)meta-absorber

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Combining Ability and Heterotic Effects in Newly Developed Early Maturing and High-Yielding Maize Hybrids under Low and Recommended Nitrogen Conditions

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Phyton-International Journal of Experimental Botany 2025年第1期94卷 101-122页

作者： Mohamed M.Kamara Nora M.Al Aboud Hameed Alsamadany Abeer M.Kutby Imen Ben Abdelmalek Diaa Abd El-Moneim Motrih Al-Mutiry Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafr El-Sheikh33516Egypt Department of Biology Faculty of ScienceUmm Al-Qura UniversityMakkah24372Saudi Arabia Department of Biological Sciences Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Biological Science College of ScienceUniversity of JeddahJeddah21589Saudi Arabia Department of Biology College of ScienceBuraydah51452Saudi Arabia Department of Plant Production Genetic BranchFaculty of Environmental and Agricultural SciencesArish UniversityEl-Arish45511Egypt Department of Geography and Environmental Sustainability College of Humanities and Social SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Nitrogen (N) is a crucial nutrient vital for the growth and productivity of maize. However, excessive nitrogen application can result in numerous environmental and ecological problems, such as water pollution, biodiversity loss, and greenhouse gas emissions. Therefore, breeding maize hybrids resilient to low nitrogen conditions is crucial for sustainable agriculture, especially under low nitrogen conditions. Consequently, this study aimed to evaluate the combining ability and heterosis of maize lines, recognize promising hybrids, and study gene action controlling key traits under low and recommended N stress conditions. The half-diallel mating design hybridized seven maize inbreds, resulting in 21 F1 hybrids. These hybrids, along with two high-yielding commercial hybrids (SC10 and TWC310), were evaluated in field trials under recommended (290 kg/ha) and low N (166 kg N/ha) conditions. Significant variations were observed among assessed hybrids for all measured traits, with non-additive gene action being predominant for grain yield and its related characteristics under recommended and low N conditions. Inbred lines P105 and P106 were recognized as effective combiners for earliness, with P105 also excelling in shorter plant height and lower ear placement. In addition, P101, P102, and P104 were identified as good combiners for increasing grain yield and related attributes under low N conditions. The crosses P105 × P106 and P106 × P107 demonstrated outstanding heterotic effects for earliness, while hybrids P101 × P102 and P102 × P104 exhibited remarkable heterotic effects for grain yield low nitrogen stress conditions. These promising hybrids could be considered for commercial use after further evaluation. Strong positive correlations were found between grain yield and ear height, plant height, number of kernels per row, and 1000-grain weight, highlighting their importance for indirect selection to enhance the grain yield of maize under low N stress conditions.

关键词： Nitrogen deficiency maize improvement sustainable agriculture hybrid evaluation

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Antioxidant and lipoxygenase inhibitory properties of a novel flavonoid from Pistacia chinensis Bunge and its molecular docking analysis

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Traditional Medicine Research 2025年第2期10卷 30-36页

作者： Abdur Rauf Zuneera Akram Naveed Muhammad Najla AlMasoud Taghrid Saad Alomar Saima Naz Abdul Wadood Chandni Hayat Marcello Iriti Department of Chemistry University of SwabiAmbar 23561Pakistan Department of Pharmacology Faculty of Pharmaceutical SciencesBaqai Medical UniversityKarachi 74600Pakistan Department of Pharmacy Abdul Wali Khan University MardanMardan 23200Pakistan Department of Chemistry College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Biotechnology BKUC-Bacha Khan University CharsaddaCharsadda 24620Pakistan Department of Biochemistry Abdul Wali Khan University MardanMardan 23200Pakistan Department of Biomedical Surgical and Dental SciencesUniversity of MilanMilan 20129Italy National Interuniversity Consortium of Materials Science and Technology(INSTM) Firenze 50121Italy

Background:Pistacia chinensis Bunge has been traditionally used to manage various conditions,including asthma,pain,inflammation,hepatoprotection,and *** study was conducted to investigate the antioxidant and anti-lipoxygenase(LOX)properties of the isolated compound 2-(3,4-dihydroxyphenyl)-5,7-dihydroxy-4H-chromen-4-one from Pistacia ***:LOX assay and antioxidant activity using 2,2-diphenyl-1-picrylhydrazyl(DPPH)assay were *** docking studies were conducted using a molecular operating ***:The LOX assay revealed significant inhibitory effects at 0.2µM concentration,with an IC50 value of 37.80µ*** antioxidant effect demonstrated dose-dependency across 5 to 100µg/mL concentrations,reaching 93.09%at 100µg/mL,comparable to ascorbic acid’s 95.43%*** docking studies highlighted strong interactions with the lipoxygenase enzyme,presenting an excellent docking score of-10.98 kcal/***:These findings provide valuable insights into Pistacia chinensis’chemical components and biological effects,reinforcing its traditional medicinal applications.

关键词： Pistacia chinensis Bunge antioxidant DPPH assay antilipoxygenase docking analysis

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Adaptive Attribute-Based Honey Encryption: A Novel Solution for Cloud Data Security

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Computers, Materials & Continua 2025年第2期82卷 2637-2664页

作者： Reshma Siyal Muhammad Asim Long Jun Mohammed Elaffendi Sundas Iftikhar Rana Alnashwan Samia Allaoua Chelloug School of Computer Science and Engineering Central South UniversityChangsha410083China EIAS LAB College of Computer and Information Sciencesand Center of Excellence in Quantum and Intelligent ComputingPrince Sultan UniversityRiyadh11586Saudi Arabia Gianforte School of Computing Montana State UniversityBozemanMT 59717USA Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

A basic procedure for transforming readable data into encoded forms is encryption, which ensures security when the right decryption keys are used. Hadoop is susceptible to possible cyber-attacks because it lacks built-in security measures, even though it can effectively handle and store enormous datasets using the Hadoop Distributed File System (HDFS). The increasing number of data breaches emphasizes how urgently creative encryption techniques are needed in cloud-based big data settings. This paper presents Adaptive Attribute-Based Honey Encryption (AABHE), a state-of-the-art technique that combines honey encryption with Ciphertext-Policy Attribute-Based Encryption (CP-ABE) to provide improved data security. Even if intercepted, AABHE makes sure that sensitive data cannot be accessed by unauthorized parties. With a focus on protecting huge files in HDFS, the suggested approach achieves 98% security robustness and 95% encryption efficiency, outperforming other encryption methods including Ciphertext-Policy Attribute-Based Encryption (CP-ABE), Key-Policy Attribute-Based Encryption (KB-ABE), and Advanced Encryption Standard combined with Attribute-Based Encryption (AES+ABE). By fixing Hadoop’s security flaws, AABHE fortifies its protections against data breaches and enhances Hadoop’s dependability as a platform for processing and storing massive amounts of data.

关键词： Cybersecurity data security cloud storage hadoop encryption and decryption privacy protection attribute-based honey encryption

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Determination of Fungal Species to Investigate the Aflatoxin Contamination in Rice(Oryza sativa L.)

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Phyton-International Journal of Experimental Botany 2025年第2期94卷 407-420页

作者： Eman Alhomaidi Aisha Umar Mustansar Mubeen Laurent Dufossé Yasir Iftikhar Arpita Das Soumya Ghosh Muhammad Sibt-e-Abbas Department of Biology College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Institute of Botany University of the PunjabLahore54000Pakistan Department of Plant Pathology College of AgricultureUniversity of SargodhaSargodha40100Pakistan Universitéde La Réunion Laboratoire CHEMBIOPRO(Chimie et Biotechnologie des Produits Naturels)ESIROI Département agroalimentaire15 avenue RenéCassinSaint-DenisF-97490France Department of Biotechnology Adamas UniversityBarasat-Barrackpore Road24 Parganas NorthJagannathpurKolkata700126West BengalIndia Natural and Medical Sciences Research Center University of NizwaNizwa616Oman Department of Food Science&Technology Faculty of Food&Home SciencesMNS-University of AgricultureMultan630496Pakistan

Aspergillus species produce aflatoxins and raise concerns about food safety in departmental stores and manufacturing *** address the risks posed by aflatoxins,and to advise the public on the highest quality rice that serves as a nutritious food source,an inquiry following the guidelines outlined in both local and international standards of food safety for the presence of aflatoxins is an essential ***,16 white rice samples were selected randomly from low/high socio-economic departmental stores from 16 different *** powdered rice filtrate was extracted using *** filtrate applied on TLC plates and the amount of aflatoxin and moisture contents were *** the non-infected rice,moisture content was low(9.08%)whereas high[13.65%>12%(standard>value)]in infected *** out of 8 samples of low-quality rice were contaminated with AFB_(1) and AFB_(2)(ranging from 22.2 to 29.3μg/kg).All the samples except one(22.3μg/kg)from high-quality rice were certified fit despite the contamination with AFB_(1).Furthermore,phylogenetic analysis showed Aspergillus flavus from unfit low(Long grain brown and Brown basmati)and high-quality(Basmati-198)rice whereas *** from unfit low-quality Medium-grain brown *** presented research proves that the detection of fungi and aflatoxins in rice grains poses a huge risk to the health of ***,it is necessary to check the rice grains before distribution.

关键词： Mycotoxin aflatoxin rice contamination TLC principal component analysis

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Novel Feature Extractor Framework in Conjunction with Supervised Three Class-XGBoost Algorithm for Osteosarcoma Detection from Whole Slide Medical Histopathology Images

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Computers, Materials & Continua 2025年第2期82卷 3337-3353页

作者： Tanzila Saba Muhammad Mujahid Shaha Al-Otaibi Noor Ayesha Amjad Rehman Khan Artificial Intelligence&Data Analytics Lab College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Center of Excellence in Cyber Security(CYBEX) Prince Sultan UniversityRiyadh11586Saudi Arabia

Osteosarcomas are malignant neoplasms derived from undifferentiated osteogenic mesenchymal cells. It causes severe and permanent damage to human tissue and has a high mortality rate. The condition has the capacity to occur in any bone;however, it often impacts long bones like the arms and legs. Prompt identification and prompt intervention are essential for augmenting patient longevity. However, the intricate composition and erratic placement of osteosarcoma provide difficulties for clinicians in accurately determining the scope of the afflicted area. There is a pressing requirement for developing an algorithm that can automatically detect bone tumors with tremendous accuracy. Therefore, in this study, we proposed a novel feature extractor framework associated with a supervised three-class XGBoost algorithm for the detection of osteosarcoma in whole slide histopathology images. This method allows for quicker and more effective data analysis. The first step involves preprocessing the imbalanced histopathology dataset, followed by augmentation and balancing utilizing two techniques: SMOTE and ADASYN. Next, a unique feature extraction framework is used to extract features, which are then inputted into the supervised three-class XGBoost algorithm for classification into three categories: non-tumor, viable tumor, and non-viable tumor. The experimental findings indicate that the proposed model exhibits superior efficiency, accuracy, and a more lightweight design in comparison to other current models for osteosarcoma detection.

关键词： Medical image processing deep learning healthcare image classification histopathology

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Evaluation of Some Egyptian Barley Cultivars Resistance to Foliar Fungal Diseases in Drought-Prone Environments under Field Conditions

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Phyton-International Journal of Experimental Botany 2025年第2期94卷 347-377页

作者： Sally Negm Badwy Mohdly Motrih Al-Mutiry Wael Shehata Karima Ahmed Mohamed Abou-Zeid Rana Elessawy Ashgan Abdel-Azim Amr Abdel-Fattah Amani Omar Abuzaid Enas A.Almanzalawi Tahani M.Alqahtani Shouaa A.Alrobaish Diaa Abd El Moneim Ahmed M.Abbas Mohammed O.Alshaharni Huda Alghamdi Shaimaa G.Salama Kairy Amer Basic Sciences and Their Applications Unit Health SpecialtiesApplied CollegeKing Khalid62529Saudi Arabia Plant Pathology Research Institute Agriculture Research CenterGiza12619Egypt Department of Geography and Environmental Sustainability College of Humanities and Social SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Agricultural Biotechnology College of Agriculture and Food SciencesKing Faisal UniversityAl-Ahsa31982Saudi Arabia Field Crops Research Institute Agriculture Research CenterGiza12619Egypt Department of Plant Pathology University of FloridaGainesvilleFL 32611-0180USA Department of Biological Sciences Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Biology College of ScienceQassim UniversityBuraydah52571Saudi Arabia Department of Plant Production(Genetic Branch) Faculty of Environmental Agricultural SciencesArish UniversityEl-Arish45511Egypt Department of Biology College of ScienceKing Khalid UniversityAbha61421Saudi Arabia Department of Botany and Microbiology Faculty of ScienceSouth Valley UniversityQena83523Egypt Department of Botany and Microbiology Faculty of ScienceDamanhour UniversityDamanhour22511Egypt

Barley(Hordeum vulgare L.)is a significant global crop that thrives in various climatic and drought-stress ***,increased drought intervals and more significant weather variability resulting from climate change can affect the severity of plant ***,two primary objectives of integrated disease management regarding climate change are identifying cultivars resistant to foliar diseases and understanding disease progression under abiotic *** the current study,we assessed the quantitative foliar disease resistance of 17 commercial barley cultivars under both normal and water stress conditions over two growing seasons(from 2020/21 to 2021/22).The findings demonstrated a reduced incidence of foliar fungal diseases(leaf rust,net blotch,and powdery mildew)under severe drought stress relative to standard irrigated field *** barley cultivars(Giza 130,Giza 131,and Giza 133)demonstrated significant differences across all disease resistance *** addition,the study aimed to molecularly characterize 17 commercial barley varieties using single-cell DNA testing(SCoT)to identify genetic polymorphism and specific markers for each *** SCoT primers were employed to investigate the genetic polymorphism among 17 barley ***,these cultivars exhibited optimal performance for the majority of agricultural attributes examined,both under normal and water-stressed conditions.

关键词： Powdery mildew net blotch leaf rust drought combined stress tolerance molecular markers SCoT

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