Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment
Globally, over 2 billion people suffer from malnutrition due to inadequate intake of micronutrients. Genomic-assisted breeding is identified as a valuable method to facilitate developing new improved plant varieties targeting grain yield and micronutrient-related traits. In this study, a genome-wide...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Springer
2023
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| Online Access: | https://hdl.handle.net/10568/162582 |
| _version_ | 1855517488593240064 |
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| author | Tadesse, Wuletaw Zakaria, EL Gataa Rachdad, Fatima Ezzahra El-Baouchi, Adil Kehel, Zakaria Alemu, Admas |
| author_browse | Alemu, Admas El-Baouchi, Adil Kehel, Zakaria Rachdad, Fatima Ezzahra Tadesse, Wuletaw Zakaria, EL Gataa |
| author_facet | Tadesse, Wuletaw Zakaria, EL Gataa Rachdad, Fatima Ezzahra El-Baouchi, Adil Kehel, Zakaria Alemu, Admas |
| author_sort | Tadesse, Wuletaw |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Globally, over 2 billion people suffer from malnutrition due to inadequate intake of micronutrients. Genomic-assisted breeding is identified 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 field 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 exhibited a significant genotypic variation in grain yield and micronutrient-related traits. The GWAS analysis identified highly significantly 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 identified significantly 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 biofortification of micronutrients via marker-assisted (MAS) and genomic selection (GS) methods. |
| format | Journal Article |
| id | CGSpace162582 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1625822025-10-26T13:00:53Z Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment Tadesse, Wuletaw Zakaria, EL Gataa Rachdad, Fatima Ezzahra El-Baouchi, Adil Kehel, Zakaria Alemu, Admas malnutrition micronutrients wheat wheat genotypes genome-wide association study (gwas) genomic-assisted breeding genomic prediction (gp) single-trait analysis multi-trait analysis Globally, over 2 billion people suffer from malnutrition due to inadequate intake of micronutrients. Genomic-assisted breeding is identified 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 field 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 exhibited a significant genotypic variation in grain yield and micronutrient-related traits. The GWAS analysis identified highly significantly 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 identified significantly 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 biofortification of micronutrients via marker-assisted (MAS) and genomic selection (GS) methods. 2023-11 2024-11-21T22:06:39Z 2024-11-21T22:06:39Z Journal Article https://hdl.handle.net/10568/162582 en Open Access application/pdf Springer Wuletaw 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, pp. 1515-1526. |
| spellingShingle | malnutrition micronutrients wheat wheat genotypes genome-wide association study (gwas) genomic-assisted breeding genomic prediction (gp) single-trait analysis multi-trait analysis Tadesse, Wuletaw Zakaria, EL Gataa Rachdad, Fatima Ezzahra El-Baouchi, Adil Kehel, Zakaria Alemu, Admas Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment |
| title | Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment |
| title_full | Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment |
| title_fullStr | Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment |
| title_full_unstemmed | Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment |
| title_short | Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment |
| title_sort | single and multi trait genomic prediction and genome wide association analysis of grain yield and micronutrient related traits in icarda wheat under drought environment |
| topic | malnutrition micronutrients wheat wheat genotypes genome-wide association study (gwas) genomic-assisted breeding genomic prediction (gp) single-trait analysis multi-trait analysis |
| url | https://hdl.handle.net/10568/162582 |
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