Genetic dissection and genomic prediction of drought indices in bread wheat (Triticum aestivum L.) genotypes

cg.contactelgataa.zakaria@gmail.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerSwedish University of Agricultural Sciences - SLUen_US
cg.contributor.centerLeibniz Institute of Plant Genetics and Crop Plant Research - ipk-gaterslebenen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_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.countryMAen_US
cg.coverage.regionNorthern Africaen_US
cg.creator.idZakaria, EL Gataa: 0000-0002-2935-2232en_US
cg.creator.idKehel, Zakaria: 0000-0002-1625-043Xen_US
cg.creator.idTadesse, Wuletaw: 0000-0003-1175-3502en_US
cg.identifier.doihttps://doi.org/10.1016/j.cropd.2024.100084en_US
cg.isijournalISI Journalen_US
cg.issue1en_US
cg.journalCROP DESIGNen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.agrovocwheaten_US
cg.subject.agrovocabiotic stressen_US
cg.subject.agrovocgwasen_US
cg.subject.agrovocgenesen_US
cg.subject.agrovocsoft wheaten_US
cg.volume4en_US
dc.contributorAlemu, Admasen_US
dc.contributorEl-Hanafi, Samiraen_US
dc.contributorKehel, Zakariaen_US
dc.contributorRachdad, Fatima Ezzahraen_US
dc.contributorTadesse, Wuletawen_US
dc.creatorZakaria, EL Gataaen_US
dc.date.accessioned2026-02-11T21:48:06Z
dc.date.available2026-02-11T21:48:06Z
dc.description.abstractDrought constitutes the main obstacle to agricultural productivity in the Central and West Asia and North Africa (CWANA) region, notably leading to substantial reduction in wheat yields due to terminal water stress. The adoption of drought-resistant wheat varieties appears to be a vital strategy to maintain wheat production in the face of climatic challenges. In this context, a study was conducted utilizing a set of 198 elite bread wheat genotypes developed at the International Center for Agricultural Research in the Dry Areas (ICARDA). This set of elite genotypes was evaluated at the Sidi Al-Aidi station in Morocco over two years (2021–2022), under rain-fed and irrigated conditions. Phenotypic assessments for grain yield and drought indices were performed, alongside genotyping the population using 15k SNP markers. These preparatory steps facilitated a genome-wide association study (GWAS) and genomic prediction, leveraging the Mixed Linear Model (MLM) to pinpoint marker-trait associations (MTAs) and candidate genes pertinent to grain yield and drought indices. The results manifested substantial variations in both grain yield and drought indices among the genotypes tested. Grain yield performance ranged from 0.34 to 2.57 ​t/ha under rain-fed conditions and 1.12 to 4.57 ​t/ha under irrigated scenarios. The comprehensive analysis identified 39 significant MTAs (p ​< ​0.001) and 14 putative genes associated with drought indices and grain yield. Noteworthy is the marker “wsnp_Ex_c12127_19394952” on chromosome 5B, which displayed a significant correlation with grain yield in rain-fed environments. Furthermore, the most prominent marker linked to tolerance index (TOL) was “BobWhite_c42349_99”, situated on chromosome 5A and associated with the TraesCS5A02G498000 gene. This gene plays a critical role, encoding for catalase protein crucial for response to hydrogen peroxide. These markers could be used for marker-assisted selection in wheat breeding programs targeting drought tolerance.en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/0c1778ecd26e23b19e58e13b9e4e03e3en_US
dc.identifier.citationEL Gataa Zakaria, Admas Alemu, Samira El-Hanafi, Zakaria Kehel, Fatima Ezzahra Rachdad, Wuletaw Tadesse. (1/2/2025). Genetic dissection and genomic prediction of drought indices in bread wheat (Triticum aestivum L. ) genotypes. CROP DESIGN, 4 (1).en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/70561
dc.languageenen_US
dc.publisherElsevieren_US
dc.rightsCC-BY-4.0en_US
dc.sourceCROP DESIGN;4,(2024)en_US
dc.titleGenetic dissection and genomic prediction of drought indices in bread wheat (Triticum aestivum L.) genotypesen_US
dc.typeJournal Articleen_US
dcterms.available2024-10-16en_US
dcterms.issued2025-02-01en_US

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description: