Mapping the quantitative field resistance to stripe rust in a hard winter wheat population “Overley” × “Overland”

Author:

Mustahsan Wardah1,Guttieri Mary J.2ORCID,Bowden Robert L.2ORCID,Garland‐Campbell Kimberley3ORCID,Jordan Katherine2ORCID,Bai Guihua2ORCID,Zhang Guorong4ORCID

Affiliation:

1. Department of Agronomy Kansas State University Manhattan Kansas USA

2. USDA Agricultural Research Service, Center for Grain and Animal Health Research, Hard Winter Wheat Genetics Research Unit Manhattan Kansas USA

3. USDA Agricultural Research Service, Wheat Health, Genetics and Quality Research Unit Washington State University Pullman Washington USA

4. Kansas State University Agricultural Research Center‐Hays Hays Kansas USA

Abstract

AbstractStripe (yellow) rust, caused by Puccinia striiformis f. sp. tritici, is a devastating disease of wheat (Triticum aestivum) worldwide. In commercial production, stripe rust reduces grain quality, grain yield, and forage yield. This study was conducted to identify quantitative trait locus (QTL) associated with field resistance to stripe rust 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 single nucleotide polymorphism (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.

Funder

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Agronomy and Crop Science

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