Abstract
Stem rust, caused by the fungus Puccinia graminis Pers. f. sp. tritici Ericks, is one of the most damaging diseases of wheat ( Triticum aestivum L.). The recent emergence of the stem rust Ug99 race group poses a serious threat to world wheat production. Utilization of genetic resistance in cultivar development is the optimal way to control stem rust. Here, we report association mapping of stem rust resistance in a global spring wheat germplasm collection (2152 accessions) genotyped with the wheat iSelect 9K single‐nucleotide polymorphism array. Using a unified mixed model method (or QK method), we identified a total of 47 loci that were significantly associated with various stem rust resistance traits including field disease resistance and seedling resistance against multiple stem rust pathogen races including BCCBC, TRTTF, TTKSK (Ug99), and TTTTF. The 47 loci could be further condensed into 11 quantitative trait locus (QTL) regions according to linkage disequilibrium information among adjacent markers. We postulate that these QTLs represent known stem rust resistance genes including Sr2 , Sr6 , Sr7a , Sr8a , Sr9h , Sr13 , Sr28 , and Sr36 . We further employed a multilocus mixed model to explore marker‐trait associations and identified two additional QTLs (one potentially represents Sr31 ) that were significantly associated with stem rust resistance against various races. Combinations of the most significant loci for each trait explained up to 38.6% of the phenotypic variance. Markers identified through this study could be used to track the genes or QTLs. Accessions with high numbers of resistance‐associated alleles may serve as important breeding materials for stem rust resistance.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 7
Claim · model-written summary
Forty-seven loci were significantly associated with stem rust resistance traits.
- Taxon
- Wheat
Triticum aestivumt0 - Interactor
- stem rust pathogene0pathogen
- Gene
- 47 locie0
- Outcome
- stem rust resistance traitse0
- Value
- 47 locie0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“identified a total of 47 loci that were significantly associated with various stem rust resistance traits including field disease resistance and seedling resistance against multiple stem rust pathogen races”
t0“Spring Wheat”
Claim · model-written summary
The 47 loci condensed into 11 QTL regions using linkage disequilibrium.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- 11 quantitative trait locus (QTL) regionse0
- Value
- 11 quantitative trait locus (QTL) regionse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The 47 loci could be further condensed into 11 quantitative trait locus (QTL) regions according to linkage disequilibrium information among adjacent markers”
t0“Spring Wheat”
Claim · model-written summary
The authors proposed that the QTLs represent known Sr resistance genes.
- Taxon
- WheatTriticum aestivumt0
- Gene
- Sr2e0
- Outcome
- stem rust resistance genese0
- Qualifier
- postulatee0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“We postulate that these QTLs represent known stem rust resistance genes including Sr2 , Sr6 , Sr7a , Sr8a , Sr9h , Sr13 , Sr28 , and Sr36”
t0“Spring Wheat”
Claim · model-written summary
A multilocus model identified two additional QTLs significantly associated with resistance.
- Taxon
- WheatTriticum aestivumt0
- Gene
- two additional QTLse0
- Outcome
- stem rust resistancee0
- Value
- two additional QTLse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“identified two additional QTLs (one potentially represents Sr31 ) that were significantly associated with stem rust resistance against various races”
t0“Spring Wheat”
Claim · model-written summary
Combinations of leading loci explained up to 38.6% of phenotypic variance.
- Taxon
- WheatTriticum aestivumt0
- Gene
- most significant locie0
- Outcome
- phenotypic variancee0
- Value
- up to 38.6%e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Combinations of the most significant loci for each trait explained up to 38.6% of the phenotypic variance”
t0“Spring Wheat”
Claim · model-written summary
The authors suggest using the markers to track resistance loci.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- track the genes or QTLse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Markers identified through this study could be used to track the genes or QTLs”
t0“Spring Wheat”
Claim · model-written summary
Accessions with many resistance alleles were proposed as breeding materials.
- Taxon
- WheatTriticum aestivumt0
- Material
- Accessionse0
- Outcome
- breeding materials for stem rust resistancee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Accessions with high numbers of resistance‐associated alleles may serve as important breeding materials for stem rust resistance”
t0“Spring Wheat”