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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dc.creatorTadesse, Wuletaw
dc.creatorZakaria, EL Gataa
dc.creatorRachdad, Fatima Ezzahra
dc.creatorEl-Baouchi, Adil
dc.creatorKehel, Zakaria
dc.creatorAlemu, Admas
dc.date2023-11-01
dc.date2023-11-01T17:04:27Z
dc.date2023-11-01T17:04:27Z
dc.date.accessioned2026-06-27T14:24:28Z
dc.descriptionGlobally, 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) methods
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/132646
dc.identifier.urihttp://hdl.handle.net/123456789/78802
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceWuletaw Tadesse, EL Gataa Zakaria, Fatima Ezzahra Rachdad, Adil El-Baouchi, Zakaria Kehel, Admas Alemu. (1/11/2023). 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, 298.
dc.subjectbread wheat
dc.subjectmicronutrients
dc.subjectgwas
dc.subjectwheat
dc.subjectsoft wheat
dc.subjectmulti-trait genomic prediction
dc.titleSingle‑ and multi‑trait genomic prediction and genome‑wide association analysis of grain yield and micronutrient‑related traits in ICARDA wheat under drought environment
dc.typeJournal Article

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Centro Internacional para la Investigación Agrícola en las Áreas Secas (ICARDA)