Single‑ and multi‑trait genomic prediction and genome‑wide association analysis of grain yield and micronutrient‑related traits in ICARDA wheat under drought environment

cg.contactadmasalemu@dtu.edu.eten_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.centerMohammed VI Polytechnic University - UM6Pen_US
cg.contributor.crpGenetic Innovation - GIen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.funderSwedish University of Agricultural Sciences - SLUen_US
cg.contributor.initiativeAccelerated Breedingen_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.idTadesse, Wuletaw: 0000-0003-1175-3502en_US
cg.creator.idZakaria, EL Gataa: 0000-0002-2935-2232en_US
cg.creator.idKehel, Zakaria: 0000-0002-1625-043Xen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s00438-023-02074-6en_US
cg.identifier.doihttps://dx.doi.org/10.1007/s10681-021-02933-6en_US
cg.isijournalISI Journalen_US
cg.issn1617-4615en_US
cg.issn1617-4623en_US
cg.journalMolecular Genetics and Genomicsen_US
cg.subject.actionAreaGenetic Innovationen_US
cg.subject.agrovocbread wheaten_US
cg.subject.agrovocmicronutrientsen_US
cg.subject.agrovocgwasen_US
cg.subject.agrovocwheaten_US
cg.subject.agrovocsoft wheaten_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
dc.contributorZakaria, EL Gataaen_US
dc.contributorRachdad, Fatima Ezzahraen_US
dc.contributorEl-Baouchi, Adilen_US
dc.contributorKehel, Zakariaen_US
dc.contributorAlemu, Admasen_US
dc.creatorTadesse, Wuletawen_US
dc.date.accessioned2023-11-01T17:02:40Z
dc.date.available2023-11-01T17:02:40Z
dc.description.abstractGlobally, over 2 billion people sufer from malnutrition due to inadequate intake of micronutrients. Genomic-assisted breeding is identifed as a valuable method to facilitate developing new improved plant varieties targeting grain yield and micronutrient-related traits. In this study, a genome-wide association study (GWAS) and single- and multi-trait-based genomic prediction (GP) analysis was conducted using a set of 252 elite wheat genotypes from the International Center for Agricultural Research in Dry Areas (ICARDA). The objective was to identify linked SNP markers, putative candidate genes and to evaluate the genomic estimated breeding values (GEBVs) of grain yield and micronutrient-related traits. For this purpose, a feld trial was conducted at a drought-prone station, Merchouch, Morocco for 2 consecutive years (2018 and 2019) followed by GWAS and genomic prediction analysis with 10,173 quality SNP markers. The studied genotypes exhib ited a signifcant genotypic variation in grain yield and micronutrient-related traits. The GWAS analysis identifed highly signifcantly associated markers and linked putative genes on chromosomes 1B and 2B for zinc (Zn) and iron (Fe) contents, respectively. The genomic predictive ability of selenium (Se) and Fe traits with the multi-trait-based GP GBLUP model was 0.161 and 0.259 improving by 6.62 and 4.44%, respectively, compared to the corresponding single-trait-based models. The identifed signifcantly linked SNP markers, associated putative genes, and developed GP models could potentially facilitate breeding programs targeting to improve the overall genetic gain of wheat breeding for grain yield and biofortifcation of micronutrients via marker-assisted (MAS) and genomic selection (GS) methodsen_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/c2a572dc07657430f96b4473414a446c/v/7e2740e7eeee706ec63d110ea6a0cc7fen_US
dc.identifier.citationWuletaw Tadesse, EL Gataa Zakaria, Fatima Ezzahra Rachdad, Adil El-Baouchi, Zakaria Kehel, Admas Alemu. (18/10/2023). Single‑ and multi‑trait genomic prediction and genome‑wide association analysis of grain yield and micronutrient‑related traits in ICARDA wheat under drought environment. Molecular Genetics and Genomics.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/68758
dc.languageenen_US
dc.publisherSpringer (part of Springer Nature)en_US
dc.rightsCC-BY-4.0en_US
dc.sourceMolecular Genetics and Genomics;(2023)en_US
dc.subjectmulti-trait genomic predictionen_US
dc.titleSingle‑ and multi‑trait genomic prediction and genome‑wide association analysis of grain yield and micronutrient‑related traits in ICARDA wheat under drought environmenten_US
dc.typeJournal Articleen_US
dcterms.available2023-10-18en_US
mel.impact-factor3.1en_US

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