Evaluation of Genetic Diversity of Rice (Oryza Sativa L.) Genotypes Under Salinity Stress Using Multivariate Statistical Methods

cg.contacta.majidimehr64@gmail.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerAgricultural Research, Education and Extension Organisation, National Salinity Research Center - AREEO- NSRCen_US
cg.contributor.centerYasouj University, Faculty of Agricultureen_US
cg.contributor.funderYasouj University, Faculty of Agricultureen_US
cg.contributor.projectCODIS - Corporate-Communication and Documentation Information Servicesen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryIRen_US
cg.coverage.regionSouthern Asiaen_US
cg.creator.idZakaria, EL Gataa: 0000-0002-2935-2232en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://doi.org/10.1007/s10343-025-01266-xen_US
cg.isijournalISI Journalen_US
cg.issn2948-264Xen_US
cg.issue6en_US
cg.journalJOURNAL OF CROP HEALTHen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.agrovocriceen_US
cg.volume77en_US
dc.contributorAmiri-Fahliani, Rezaen_US
dc.contributorZakaria, EL Gataaen_US
dc.creatorMajidiMehr, Ahmaden_US
dc.date.accessioned2026-02-16T20:45:51Z
dc.date.available2026-02-16T20:45:51Z
dc.description.abstractSalinity stress poses a significant challenge to rice production, particularly in regions where rice is a staple food. Breeding programs aimed at developing salt-tolerant rice varieties are crucial for enhancing food security and agricultural sustainability. In this experiment, 11 rice genotypes were evaluated as split-plot based on a randomized complete block design with three replications in summer 2012, at the Yasouj University. The main plots included 4 levels (0, 44, 88, and 132 mM) of salinity, and 11 rice genotypes considered as the subplots. According to the analysis of variance, sufficient genetic diversity was observed among genotypes for all studied traits. Breeding programs may therefore take into account the association of various component traits with yield and among themselves. According analysis of correlation coefficients under salt stress conditions revealed that traits such as flag leaf length (0.53), flag leaf area (0.61), hundred-grain weight (0.64), sterility percentage (0.67), and number of grains per panicle (0.80) had a moderate to high impact on the number of filled grains per panicle. The first two principal components (PC1, PC2) explained 64% of the data variation under non-stress conditions (PC1 = 33.50%, PC2 = 30.50%) and 64.6% under salt stress (PC1 = 37.20%, PC2 = 27.40%). This revealed that genotypes 2 and 6 were located near vectors associated with traits such as the number of grains per panicle, number of filled grains per panicle, and hundred-grain weight, indicating their superior yield under salt stress conditions. Using Ward’s method, genotypes were grouped into three clusters under both non-stress and salinity stress conditions. Under non-stress conditions, Group 2 (genotypes 2, 6, 7, 8) showed the highest filled grains and grain weight, while Group 1 (9, 10, 11) had the lowest. Under salinity stress, Group 1 (2, 4, 6) exhibited superior performance, suggesting genetic potential for salt tolerance, making them valuable for breeding programs aimed at improving yield under stress. Genotypes with high variability and desirable traits can be used in further breeding programs.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationAhmad MajidiMehr, Reza Amiri-Fahliani, EL Gataa Zakaria. (1/12/2025). Evaluation of Genetic Diversity of Rice (Oryza Sativa L. ) Genotypes Under Salinity Stress Using Multivariate Statistical Methods. JOURNAL OF CROP HEALTH, 77 (6).en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/70574
dc.languageenen_US
dc.publisherSpringeren_US
dc.sourceJOURNAL OF CROP HEALTH;77,(2025)en_US
dc.subjectcluster analysisen_US
dc.subjectpcaen_US
dc.subjectyielden_US
dc.subjectheat mapen_US
dc.subjectoryza sativa l.en_US
dc.titleEvaluation of Genetic Diversity of Rice (Oryza Sativa L.) Genotypes Under Salinity Stress Using Multivariate Statistical Methodsen_US
dc.typeJournal Articleen_US
dcterms.available2025-12-01en_US
dcterms.issued2025-12-01en_US

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