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

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cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen
cg.contributor.affiliationSwedish University of Agricultural Sciencesen
cg.contributor.affiliationMohammed VI Polytechnic Universityen
cg.contributor.donorInternational Center for Agricultural Research in the Dry Areasen
cg.contributor.donorSwedish University of Agricultural Sciencesen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeAccelerated Breeding
cg.coverage.countryMorocco
cg.coverage.iso3166-alpha2MA
cg.coverage.regionNorthern Africa
cg.creator.identifierTadesse Wuletaw: 0000-0003-1175-3502
cg.creator.identifierZakaria El Gataa: 0000-0002-2935-2232
cg.creator.identifierZakaria Kehel: 0000-0002-1625-043X
cg.identifier.doihttps://doi.org/10.1007/s00438-023-02074-6en
cg.identifier.doihttps://doi.org/10.1007/s10681-021-02933-6en
cg.isijournalISI Journalen
cg.issn1617-4615en
cg.issn1617-4623en
cg.journalMolecular Genetics and Genomicsen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaGenetic Innovation
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero hungeren
dc.contributor.authorTadesse, Wuletawen
dc.contributor.authorZakaria, EL Gataaen
dc.contributor.authorRachdad, Fatima Ezzahraen
dc.contributor.authorEl-Baouchi, Adilen
dc.contributor.authorKehel, Zakariaen
dc.contributor.authorAlemu, Admasen
dc.date.accessioned2023-11-01T17:04:27Zen
dc.date.available2023-11-01T17:04:27Zen
dc.identifier.urihttps://hdl.handle.net/10568/132646
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
dcterms.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
dcterms.accessRightsOpen Access
dcterms.available2023-10-18
dcterms.bibliographicCitationWuletaw 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
dcterms.formatPDFen
dcterms.issued1970-01-01
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectbread wheaten
dcterms.subjectmicronutrientsen
dcterms.subjectgwasen
dcterms.subjectwheaten
dcterms.subjectsoft wheaten
dcterms.subjectmulti-trait genomic predictionen
dcterms.typeJournal Article

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