ArticleFrontiers in plant science2020
Comparing the Potential of Marker-Assisted Selection and Genomic Prediction for Improving Rust Resistance in Hybrid Wheat.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Deciphering the regulatory network of carbon isotope discrimination in bread wheat through genome-wide association studies and genomic prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Toward combining qualitative race-specific and quantitative race-nonspecific disease resistance by genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genome-wide association study and genomic prediction of resistance to stripe rust in current Central and Northern European winter wheat germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genomic Prediction Accuracy of Stripe Rust in Six Spring Wheat Populations by Modeling Genotype by Environment Interaction.Plants (Basel, Switzerland) · 2022Article
- Discovery of Resistance Genes in Rye by Targeted Long-Read Sequencing and Association Genetics.Cells · 2022Article
- Article
- Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Evaluation of the resistance to Chinese predominant races ofFrontiers in plant science · 2022Article
- Discovery of a Novel Leaf Rust (Cells · 2021Article
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7 authors.
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Abstract
Improving leaf rust and stripe rust resistance is a central goal in wheat breeding. The objectives of this study were to (1) elucidate the genetic basis of leaf rust and stripe rust resistance in a hybrid wheat population, (2) compare the findings using a previously published hybrid wheat data set, and (3) contrast the prediction accuracy with those of genome-wide prediction. The hybrid wheat population included 1,744 single crosses from 236 parental lines. The genotypes were fingerprinted using a 15k SNP array and evaluated for leaf rust and stripe rust resistance in multi-location field trials. We observed a high congruency of putative quantitative trait loci (QTL) for leaf rust resistance between both populations. This was not the case for stripe rust resistance. Accordingly, prediction accuracy of the detected QTL was moderate for leaf rust but low for stripe rust resistance. Genome-wide selection increased the prediction accuracy slightly for stripe rust albeit at a low level but not for leaf rust. Thus, our findings suggest that marker-assisted selection seems to be a robust and efficient tool to improve leaf rust resistance in European wheat hybrids.
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