Location: Hard Winter Wheat Genetics Research
Title: Data from: Mapping the Quantitative Field Resistance to Stripe Rust in a Hard Winter Wheat Population ‘Overley’ x ‘Overland'Author
Guttieri, Mary | |
MUSTAHSAN, WARDAH - Kansas State University | |
Bowden, Robert | |
Jordan, Katherine | |
Garland-Campbell, Kimberly |
Submitted to: Ag Data Commons
Publication Type: Database / Dataset Publication Acceptance Date: 3/25/2023 Publication Date: 4/27/2023 Citation: Guttieri, M.J., Mustahsan, W., Bowden, R.L., Jordan, K., Garland Campbell, K.A. 2023. Data from: Mapping the Quantitative Field Resistance to Stripe Rust in a Hard Winter Wheat Population ‘Overley’ x ‘Overland'. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1528703. DOI: https://doi.org/10.15482/USDA.ADC/1528703 Interpretive Summary: Data reported in research published in Crop Science, “Mapping the quantitative field resistance to stripe rust in a hard winter wheat population ‘Overley’ × ‘Overland.’” Technical Abstract: Data reported in research published in Crop Science, “Mapping the quantitative field resistance to stripe rust in a hard winter wheat population ‘Overley’ × ‘Overland.’” Authors are Wardah Mustahsan, Mary J. Guttieri, Robert L. Bowden, Kimberley Garland-Campbell, Katherine Jordan, Guihua Bai, Guorong Zhang from USDA Agricultural Research Service and Kansas State University. This study was conducted to identify quantitative trait loci (QTL) associated with field resistance to stripe rust, also known as yellow rust (YR), in hard winter wheat. Stripe rust infection type and severity were rated in recombinant inbred lines (RILs, n=204) derived from a cross between hard red winter wheat cultivars ‘Overley’ and ‘Overland’ in replicated field trials in the Great Plains and Pacific Northwest. RILs (n=184) were genotyped with reduced representation sequencing to produce SNP markers from alignment to the ‘Chinese Spring’ reference sequence, IWGSC v2.1, and from alignment to the reference sequence for ‘Jagger’, which is a parent of Overley. Genetic linkage maps were developed independently from each set of SNP markers. QTL analysis identified genomic regions on chromosome arms 2AS, 2BS, 2BL, and 2DL that were associated with stripe rust resistance using multi-environment best linear unbiased predictors for stripe rust infection type and severity. Results for the two linkage maps were very similar. PCR-based SNP marker assays associated with the QTL regions were developed to efficiently identify these genomic regions in breeding populations. |