ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019
Accuracy of within- and among-family genomic prediction for Fusarium head blight and Septoria tritici blotch in winter wheat.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Genome-wide association study identifies quantitative trait loci associated with resistance to Verticillium dahliae race 3 in tomato.The plant genome · 2025Article
- Accounting for population structure in genomic prediction of strawberry sweetness at a global scale.Scientific reports · 2025Article
- Multi-trait ridge regression BLUP withFrontiers in plant science · 2025Article
- Improvement of crop production in controlled environment agriculture through breeding.Frontiers in plant science · 2024Review
- Leveraging trait and QTL covariates to improve genomic prediction of resistance to Fusarium head blight in Central European winter wheat.Frontiers in plant science · 2024Article
- Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Toward combining qualitative race-specific and quantitative race-nonspecific disease resistance by genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Wheat Omics: Advancements and Opportunities.Plants (Basel, Switzerland) · 2023Review
- 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 selection for spot blotch in bread wheat breeding panels, full-sibs and half-sibs and index-based selection for spot blotch, heading and plant height.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
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- The performance of phenomic selection depends on the genetic architecture of the target trait.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Alternative scoring methods of fusarium head blight resistance for genomic assisted breeding.Frontiers in plant science · 2022Article
- Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies.Molecular breeding : new strategies in plant improvement · 2022Review
- Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization Approaches.Methods in molecular biology (Clifton, N.J.) · 2022Article
- QTL mapping and genomic prediction of resistance to wheat head blight caused byFrontiers in genetics · 2022Article
- Training set design in genomic prediction with multiple biparental families.The plant genome · 2021Article
- Genomic prediction for fusiform rust disease incidence in a large cloned population of Pinus taeda.G3 (Bethesda, Md.) · 2021Article
- Evaluation of Genomic Prediction for Fusarium Head Blight Resistance with a Multi-Parental Population.Biology · 2021Article
- Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
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6 authors.
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Abstract
Genomic selection is an approach that uses whole-genome marker data to predict breeding values of genotypes and holds the potential to improve the genetic gain in breeding programs. In this study, two winter wheat populations (DS1 and DS2) consisting of 438 and 585 lines derived from six and eight bi-parental families, respectively, were genotyped with genome-wide single nucleotide polymorphism markers and phenotyped for Fusarium head blight and Septoria tritici blotch severity, plant height and heading date. We used ridge regression-best linear unbiased prediction to investigate the potential of genomic selection under different selection scenarios: prediction across each winter wheat population, within- and among-family prediction in each population, and prediction from DS1 to DS2 and vice versa. Moreover, we compared a full random model to a model incorporating quantitative trait loci (QTL) as fixed effects. The prediction accuracies obtained by cross-validation within populations were moderate to high for all traits. Accuracies for individual families were in general lower and varied with population size and genetic architecture of the trait. In the among-family prediction scenario, highest accuracies were achieved by predicting from one half-sib family to another, while accuracies were lowest between unrelated families. Our results further demonstrate that the prediction accuracy can be considerably increased by a fixed effect model approach when major QTL are present. Taken together, the implementation of genomic selection for Fusarium head blight and Septoria tritici blotch resistance seems to be promising, but the composition of the training population is of utmost importance.
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