ArticleG3 (Bethesda, Md.)2023
Results from rapid-cycle recurrent genomic selection in spring bread wheat.
Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Genomic prediction in dolichos bean (Lablab purpureus L. Sweet) breeding: choice of the type of training population and selection generation.BMC plant biology · 2026Article
- Skim-sequencing for genomic selection in wheat: a comparison of marker platforms.The plant genome · 2026Article
- Integrating genomic predictions into an applied Central European wheat breeding program.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genomic prediction for grain yield and biotic stress resistance in field pea (Frontiers in plant science · 2026Article
- AI Agents and Agentic AI in plant breeding: new frontiers, opportunities and challenges.Frontiers in genetics · 2026Article
- Biodiversity and genetic improvement ofFrontiers in plant science · 2026Review
- Rapid cycling genomic selection in maize landraces: a step toward closing the yield gap.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Article
- Review
- Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.G3 (Bethesda, Md.) · 2025Article
- Integrating molecular genetics with plant breeding to deliver impact.Plant physiology · 2025Review
- Rapid cycling genomic selection in maize landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa.Frontiers in plant science · 2025Article
- Evaluating genomic selection and speed breeding for Fusarium head blight resistance in wheat using stochastic simulations.Molecular breeding : new strategies in plant improvement · 2025Article
- Simulations of multiple breeding strategy scenarios in common bean for assessing genomic selection accuracy and model updating.The plant genome · 2024Article
- Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.).The plant genome · 2023Article
- Salinity stress tolerance prediction for biomass-related traits in maize (Zea mays L.) using genome-wide markers.The plant genome · 2023Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genomic selection (GS) in wheat breeding programs is of great interest for predicting the genotypic values of individuals, where both additive and nonadditive effects determine the final breeding value of lines. While several simulation studies have shown the efficiency of rapid-cycling GS strategies for parental selection or population improvement, their practical implementations are still lacking in wheat and other crops. In this study, we demonstrate the potential of rapid-cycle recurrent GS (RCRGS) to increase genetic gain for grain yield (GY) in wheat. Our results showed a consistent realized genetic gain for GY after 3 cycles of recombination (C1, C2, and C3) of bi-parental F1s, when summarized across 2 years of phenotyping. For both evaluation years combined, genetic gain through RCRGS reached 12.3% from cycle C0 to C3 and realized gain was 0.28 ton ha-1 per cycle with a GY from C0 (6.88 ton ha-1) to C3 (7.73 ton ha-1). RCRGS was also associated with some changes in important agronomic traits that were measured (days to heading, days to maturity, and plant height) but not selected for. To account for these changes, we recommend implementing GS together with multi-trait prediction models.
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