ArticleGenetics2017
Moving Beyond Managing Realized Genomic Relationship in Long-Term Genomic Selection.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Genome wide locus-specific ancestry analysis revealed adaptive admixtures in crossbred cattle of India.Scientific reports · 2025Article
- SimpleMating: R-package for prediction and optimization of breeding crosses using genomic selection.The plant genome · 2025Article
- Optimizing the selection of quantitative traits in plant breeding using simulation.Frontiers in plant science · 2025Review
- Changes in allele frequencies and genetic architecture due to selection in two pig populations.Genetics, selection, evolution : GSE · 2024Article
- Evaluation of genomic mating approach based on genetic algorithms for long-term selection in Huaxi cattle.BMC genomics · 2024Article
- PyBrOpS: a Python package for breeding program simulation and optimization for multi-objective breeding.G3 (Bethesda, Md.) · 2024Article
- Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024Article
- Genetic Gain and Inbreeding in Different Simulated Genomic Selection Schemes for Grain Yield and Oil Content in Safflower.Plants (Basel, Switzerland) · 2024Article
- Evolutionary computing to assemble standing genetic diversity and achieve long-term genetic gain.The plant genome · 2024Article
- The long-term effects of genomic selection: 2. Changes in allele frequencies of causal loci and new mutations.Genetics · 2023Article
- Article
- Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement.Journal of animal science and biotechnology · 2023Article
- Improving the use of plant genetic resources to sustain breeding programs' efficiency.Proceedings of the National Academy of Sciences of the United States of America · 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
- Using Genomic Selection to Develop Performance-Based Restoration Plant Materials.International journal of molecular sciences · 2022Review
- Article
- Strategies of preserving genetic diversity while maximizing genetic response from implementing genomic selection in pulse breeding programs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- The long-term effects of genomic selection: 1. Response to selection, additive genetic variance, and genetic architecture.Genetics, selection, evolution : GSE · 2022Article
- How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study ofEvolutionary applications · 2021Article
- Genomic selection of parents and crosses beyond the native gene pool of a breeding program.The plant genome · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long-term genomic selection (GS) requires strategies that balance genetic gain with population diversity, to sustain progress for traits under selection, and to keep diversity for future breeding. In a simulation model for a recurrent selection scheme, we provide the first head-to-head comparison of two such existing strategies: genomic optimal contributions selection (GOCS), which limits realized genomic relationship among selection candidates, and weighted genomic selection (WGS), which upscales rare allele effects in GS. Compared to GS, both methods provide the same higher long-term genetic gain and a similar lower inbreeding rate, despite some inherent limitations. GOCS does not control the inbreeding rate component linked to trait selection, and, therefore, does not strike the optimal balance between genetic gain and inbreeding. This makes it less effective throughout the breeding scheme, and particularly so at the beginning, where genetic gain and diversity may not be competing. For WGS, truncation selection proved suboptimal to manage rare allele frequencies among the selection candidates. To overcome these limitations, we introduce two new set selection methods that maximize a weighted index balancing genetic gain with controlling expected heterozygosity (IND-HE) or maintaining rare alleles (IND-RA), and show that these outperform GOCS and WGS in a nearly identical way. While requiring further testing, we believe that the inherent benefits of the IND-HE and IND-RA methods will transfer from our simulation framework to many practical breeding settings, and are therefore a major step forward toward efficient long-term genomic selection.
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