ArticleFrontiers in genetics2019
Improving Short- and Long-Term Genetic Gain by Accounting for Within-Family Variance in Optimal Cross-Selection.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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51 citing papers in PubMed.
- From family trials to genomic mate allocation: statistical and genomic strategies to accelerate sugarcane genetic improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Seasonal Variation and Genetic Evaluation of Needle Catechin Content in Half-Sib Families ofPlants (Basel, Switzerland) · 2026Article
- Accelerating genetic gain through integrated genomic selection in crop plants.Journal of applied genetics · 2026Review
- Strategies to improve on selection based on estimated breeding values.Genetics, selection, evolution : GSE · 2026Article
- PyMSQ: a Python package for fast Mendelian sampling (co)variance and haplotype-based similarity in genomic selection.BMC bioinformatics · 2026Article
- Genetic Variation in Pulpwood Properties of Hybrid Larch Families and Their Progenies.Plants (Basel, Switzerland) · 2026Article
- Optimization of family sizes in sets of crosses with a greedy allocation strategy based on automatic differentiation.Frontiers in plant science · 2026Article
- A Similarity Matrix for Preserving Haplotype Diversity Amongst Parents in Genomic Selection.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- DiffBreed: automatic differentiation enables efficient gradient-based optimization of breeding strategies.Bioinformatics (Oxford, England) · 2025Article
- Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.G3 (Bethesda, Md.) · 2025Article
- Practical Considerations When Using Mendelian Sampling Variances for Selection Decisions in Genomic Selection Programs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Future flooding tolerant rice germplasm: Resilience afforded beyond Sub1A gene.The plant genome · 2025Article
- Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross-selection method on long-term genetic gain.The plant genome · 2025Article
- SimpleMating: R-package for prediction and optimization of breeding crosses using genomic selection.The plant genome · 2025Article
- Is there an advantage of using genomic information to estimate gametic variances and improve recurrent selection in animal populations?Genetics, selection, evolution : GSE · 2025Article
- Genomic Predicted cross performance: a tool for optimizing parental combinations in breeding programs.Database : the journal of biological databases and curation · 2025Article
- Individual and social heterosis act independently in honey bee (Apis mellifera) colonies.The Journal of heredity · 2025Article
- Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa.Frontiers in plant science · 2025Article
- Cross potential selection: a proposal for optimizing crossing combinations in recurrent selection using the usefulness criterion of future inbred lines.G3 (Bethesda, Md.) · 2024Article
- Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances.G3 (Bethesda, Md.) · 2024Article
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5 authors.
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Abstract
The implementation of genomic selection in recurrent breeding programs raises the concern that a higher inbreeding rate could compromise the long-term genetic gain. An optimized mating strategy that maximizes the performance in progeny and maintains diversity for long-term genetic gain is therefore essential. The optimal cross-selection approach aims at identifying the optimal set of crosses that maximizes the expected genetic value in the progeny under a constraint on genetic diversity in the progeny. Optimal cross-selection usually does not account for within-family selection, i.e., the fact that only a selected fraction of each family is used as parents of the next generation. In this study, we consider within-family variance accounting for linkage disequilibrium between quantitative trait loci to predict the expected mean performance and the expected genetic diversity in the selected progeny of a set of crosses. These predictions rely on the usefulness criterion parental contribution (UCPC) method. We compared UCPC-based optimal cross-selection and the optimal cross-selection approach in a long-term simulated recurrent genomic selection breeding program considering overlapping generations. UCPC-based optimal cross-selection proved to be more efficient to convert the genetic diversity into short- and long-term genetic gains than optimal cross-selection. We also showed that, using the UCPC-based optimal cross-selection, the long-term genetic gain can be increased with only a limited reduction of the short-term commercial genetic gain.
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