GWAS case studies in wheat
| cg.authorship.types | CGIAR single centre | en_US |
| cg.contributor.affiliation | International Maize and Wheat Improvement Center | en_US |
| cg.contributor.donor | CGIAR Trust Fund | en_US |
| cg.contributor.initiative | Accelerated Breeding | en_US |
| cg.creator.identifier | deepmala sehgal: 0000-0002-4141-1784 | en_US |
| cg.creator.identifier | Susanne Dreisigacker: 0000-0002-3546-5989 | en_US |
| cg.howPublished | Formally Published | en_US |
| cg.identifier.doi | https://doi.org/10.1007/978-1-0716-2237-7_19 | en_US |
| cg.isbn | 9781071622360 | en_US |
| cg.isbn | 9781071622377 | en_US |
| cg.issn | 1064-3745 | en_US |
| cg.issn | 1940-6029 | en_US |
| cg.place | United States of America | en_US |
| cg.subject.actionArea | Genetic Innovation | en_US |
| cg.subject.impactArea | Nutrition, health and food security | en_US |
| dc.contributor.author | Sehgal, Deepmala | en_US |
| dc.contributor.author | Dreisigacker, Susanne | en_US |
| dc.date.accessioned | 2022-12-22T13:08:05Z | en_US |
| dc.date.available | 2022-12-22T13:08:05Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/126248 | en_US |
| dc.title | GWAS case studies in wheat | en_US |
| dcterms.abstract | With the advancements in next-generation sequencing technologies, leading to millions of single nucleotide polymorphisms in all crop species including wheat, genome-wide association study (GWAS) has become a leading approach for trait dissection. In wheat, GWAS has been conducted for a plethora of traits and more and more studies are being conducted and reported in journals. While application of GWAS has become a routine in wheat using the standardized approaches, there has been a great leap forward using newer models and combination of GWAS with other sets of data. This chapter has reviewed all these latest advancements in GWAS in wheat by citing the most important studies and their outputs. Specially, we have focused on studies that conducted meta-GWAS, multilocus GWAS, haplotype-based GWAS, Environmental- and Eigen-GWAS, and/or GWAS combined with gene regulatory network and pathway analyses or epistatic interactions analyses; all these have taken the association mapping approach to new heights in wheat. | en_US |
| dcterms.accessRights | Limited Access | en_US |
| dcterms.audience | Scientists | en_US |
| dcterms.available | 2022-06-01 | en_US |
| dcterms.bibliographicCitation | Sehgal, D., & Dreisigacker, S. (2022). GWAS case studies in wheat. In D. Torkamaneh & F. Belzile (Eds.), Genome-Wide Association Studies (Vol. 2481, pp. 341–351). Springer US. | en_US |
| dcterms.extent | p. 341-351 | en_US |
| dcterms.issued | 2022 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | Copyrighted; all rights reserved | en_US |
| dcterms.publisher | Springer | en_US |
| dcterms.subject | genetics | en_US |
| dcterms.subject | haplotypes | en_US |
| dcterms.subject | phenotypes | en_US |
| dcterms.subject | quantitative trait loci | en_US |
| dcterms.subject | wheat | en_US |
| dcterms.type | Book Chapter | en_US |
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