ICAR Research Data Repository for Knowledge Management
GWAS case studies in wheat
CGSpace
View Archive Info| Field | Value | |
| Title |
GWAS case studies in wheat
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| Creator |
Sehgal, Deepmala
Dreisigacker, Susanne |
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| Subject |
genetics
haplotypes phenotypes quantitative trait loci wheat |
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| Description |
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.
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| Date |
2022
2022-12-22T13:08:05Z 2022-12-22T13:08:05Z |
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| Type |
Book Chapter
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| Identifier |
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.
9781071622360 9781071622377 1064-3745 1940-6029 https://hdl.handle.net/10568/126248 https://doi.org/10.1007/978-1-0716-2237-7_19 |
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| Language |
en
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| Rights |
Copyrighted; all rights reserved
Limited Access |
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| Format |
p. 341-351
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| Publisher |
Springer US
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