ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019
Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding.
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 33 papers.
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Who cites it
33 citing papers in PubMed.
- Evaluating reaction norm and fixed effect models for genomic selection of end-use quality in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- A Quantitative Trait Nucleotide-Based Genomic Selection Strategy for Seed Oil and Protein Content in Soybean.Plants (Basel, Switzerland) · 2026Article
- Nitrogen use efficiency of flue-cured tobacco genotypes: physiological basis and relative contributions of nitrogen uptake and utilization.Frontiers in plant science · 2026Article
- Genomic prediction for grain yield and biotic stress resistance in field pea (Frontiers in plant science · 2026Article
- Nitrogen uptake dynamics of high and low protein wheat genotypes.Frontiers in plant science · 2024Article
- Breeding in bread-making wheat varieties for Mediterranean climate: the need to get resilient varieties.Frontiers in nutrition · 2024Article
- Maintenance of UK bread baking quality: Trends in wheat quality traits over 50 years of breeding and potential for future application of genomic-assisted selection.The plant genome · 2023Article
- Simultaneous improvement of grain yield and grain protein concentration in durum wheat by using association tests and weighted GBLUP.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Predictor bias in genomic and phenomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals.Genes · 2023Review
- Genomics for Yield and Yield Components in Durum Wheat.Plants (Basel, Switzerland) · 2023Review
- Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Improved multi-trait prediction of wheat end-product quality traits by integrating NIR-predicted phenotypes.Frontiers in plant science · 2023Article
- Training set designs for prediction of yield and moisture of maize test cross hybrids with unreplicated trials.Frontiers in plant science · 2023Article
- Genomic prediction and selection response for grain yield in safflower.Frontiers in genetics · 2023Article
- Breeding for Higher Yields of Wheat and Rice through Modifying Nitrogen Metabolism.Plants (Basel, Switzerland) · 2022Review
- Genetics of the Inverse Relationship between Grain Yield and Grain Protein Content in Common Wheat.Plants (Basel, Switzerland) · 2022Article
- Identification of Spring Wheat with Superior Agronomic Performance under Contrasting Nitrogen Managements Using Linear Phenotypic Selection Indices.Plants (Basel, Switzerland) · 2022Article
- Trade-offs in the genetic control of functional and nutritional quality traits in UK winter wheat.Heredity · 2022Article
- 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
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6 authors.
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Abstract
key messageLarge genetic improvement can be achieved by simultaneous genomic selection for grain yield and protein content when combining different breeding strategies in the form of selection indices. Genomic selection has been implemented in many national and international breeding programmes in recent years. Numerous studies have shown the potential of this new breeding tool; few have, however, taken the simultaneous selection for multiple traits into account that is though common practice in breeding programmes. The simultaneous improvement in grain yield and protein content is thereby a major challenge in wheat breeding due to a severe negative trade-off. Accordingly, the potential and limits of multi-trait selection for this particular trait complex utilizing the vast phenotypic and genomic data collected in an applied wheat breeding programme were investigated in this study. Two breeding strategies based on various genomic-selection indices were compared, which (1) aimed to select high-protein genotypes with acceptable yield potential and (2) develop high-yielding varieties, while maintaining protein content. The prediction accuracy of preliminary yield trials could be strongly improved when combining phenotypic and genomic information in a genomics-assisted selection approach, which surpassed both genomics-based and classical phenotypic selection methods both for single trait predictions and in genomic index selection across years. The employed genomic selection indices mitigated furthermore the negative trade-off between grain yield and protein content leading to a substantial selection response for protein yield, i.e. total seed nitrogen content, which suggested that it is feasible to develop varieties that combine a superior yield potential with comparably high protein content, thus utilizing available nitrogen resources more efficiently.
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