GWAS QTL results in the publications below will soon be aligned on the 2018 IWGSC Chinese Spring v1 wheat genome browser. In preparation for that track these QTL were curated as QTL records in the GrainGenes database with links to significant markers, associated traits, Gene Ontology links, etc. As always in GrainGenes, all significant data is linked from the reference record. See below for the upcoming browser track in progress and please do not hesitate to recommend additions to this track,

Quality Traits

• 10 QTL from Aoun et al. (2021) Genome-wide association mapping of the 'super-soft kernel texture in white winter wheat. TAG 134:2547-2559. https://doi.org/10.1007/s00122-021-03841-y
• 80 QTL from Bhatta et al. (2018) Genome-Wide Association Study Reveals Novel Genomic Regions Associated with 10 Grain Minerals in Synthetic Hexaploid Wheat. Intl. J. Mol Sci 19:3237. https://doi.org/10.3390/ijms19103237

Salinity Tolerance Traits

• 16 QTL from Quamruzzaman et al. (2022) Genome-wide association study reveals a genomic region on 5AL for salinity tolerance in wheat. TAG 135:709-722 https://doi.org/10.1007/s00122-021-03996-8
• 92 QTL from Alotaibi et al. (2022) Identification of Genomic Regions Associated with Agronomical Traits of Bread Wheat Under Two Levels of Salinity Using GWAS. Plant Mol Biol Rep 2022 https://doi.org/10.1007/s11105-022-01341-x
• 26 QTL from Quan et al. (2021) Genome-Wide Association Study Uncover the Genetic Architecture of Salt Tolerance-Related Traits in Common Wheat (Triticum aestivum L.). Front Gen 12:66392. http://doi.org/10.3389/fgene.2021.663941
• 42 QTL from Chaurasia et al. (2020) Multi-locus genome-wide association studies reveal novel genomic regions associated with vegetative stage salt tolerance in bread wheat (Triticum aestivum L.). Genomics 112:4608-4621 https://doi.org/10.1016/j.ygeno.2020.08.006

Resistance Traits

• 124 QTL from Baranwal et al. (2022) Identification of genomic regions conferring rust resistance and enhanced mineral accumulation in a HarvestPlus Association Mapping Panel of wheat. TAG 135:865-882 https://doi.org/10.1007/s00122-021-04003-w
• 67 QTL from Zhang et al. (2021) Genome-wide association mapping of leaf rust and stripe rust resistance in wheat accessions using the 90K SNP arrays. TAG 134:1233-1351 https://doi.org/10.1007/s00122-021-03769-3
• 34 QTL from Rollar et al. (2021) QTL mapping of adult plant and seedling resistance to leaf rust (Puccinia triticina Eriks.) in a multiparent advanced generation intercross (MAGIC) wheat population. TAG 134:37-51 https://doi.org/10.1007/s00122-020-03657-2
• 44 QTL from Naruoka et al. (2015) Genome-wide association mapping for stripe rust (Puccinia striiformis F. sp. tritici) in US Pacific Northwest winter wheat (Triticum aestivum L.). TAG 128:1083-1101 http://doi.org/10.3389/fgene.2021.663941

Agronomic Traits

• 18 QTL from Wang et al. (2021) Genome-wide association study identifies QTL for thousand grain weight in winter wheat under normal- and late-sown stressed environments. TAG 134:143-157 https://doi.org/10.1007/s00122-020-03687-w
• 9 QTL from Beyer et al. (2019) Loci and candidate genes controlling root traits in wheat seedlings - a wheat root GWAS. FIG 19, 91-107, https://doi.org/10.1007/s10142-018-0630-z
• 57 QTL from Godoy et al. (2018) Genome-wide Association Study of Agronomic Traits in a Spring-Planted North American Elite Hard Red Spring Wheat Panel. Crop Sci. 58:1838-1852. https://doi.org/10.2135/cropsci2017.07.0423
• 90 QTL from Turuspekov et al. (2017) GWAS for plant growth stages and yield components in spring wheat (Triticum aestivum L.) harvested in three regions of Kazakhstan. BMC Plant Biology 17:190. https://doi.org/10.1186/s12870-017-1131-2
• 31 QTL from Sukumaran et al. (2014) Genome-wide association study for grain yield and related traits in an elite spring wheat population grown in temperate irrigated environments. TAG-134:3530363 https://doi.org/10.1007/s00122-014-2435-3