ArticleG3 (Bethesda, Md.)2018
Selection on Expected Maximum Haploid Breeding Values Can Increase Genetic Gain in Recurrent Genomic Selection.
Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Back to the future 2: the implications of germplasm structure on the balance between short- and long-term genetic gain in a changing target population of environments.G3 (Bethesda, Md.) · 2026Article
- PyMSQ: a Python package for fast Mendelian sampling (co)variance and haplotype-based similarity in genomic selection.BMC bioinformatics · 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
- Haplotype stacking to improve stability of stripe rust resistance in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 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
- Optimization of crossing strategy based on the usefulness criterion in interpopulation crosses considering different marker effects among populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Low-input breeding potential in stone pine, a multipurpose forest tree with low genome diversity.G3 (Bethesda, Md.) · 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
- Integrating meteorological and breeding data to predict maize yields using machine learning algorithms.Frontiers in plant science · 2025Article
- Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- PyBrOpS: a Python package for breeding program simulation and optimization for multi-objective breeding.G3 (Bethesda, Md.) · 2024Article
- Genomic-inferred cross-selection methods for multi-trait improvement in a recurrent selection breeding program.Plant methods · 2024Article
- Genome-wide atlas of rust resistance loci in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Assessing the potential of genetic resource introduction into elite germplasm: a collaborative multiparental population for flint maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- AI-assisted selection of mating pairs through simulation-based optimized progeny allocation strategies in plant breeding.Frontiers in plant science · 2024Article
- Comparison of genomic-enabled cross selection criteria for the improvement of inbred line breeding populations.G3 (Bethesda, Md.) · 2023Article
- Genomic prediction in hybrid breeding: II. Reciprocal recurrent genomic selection with full-sib and half-sib families.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genomic selection strategies to increase genetic gain in tea breeding programs.The plant genome · 2023Article
- Genomic prediction of preliminary yield trials in chickpea: Effect of functional annotation of SNPs and environment.The plant genome · 2022Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genomic selection (GS) offers the possibility to estimate the effects of genome-wide molecular markers, which can be used to calculate genomic estimated breeding values (GEBVs) for individuals without phenotypes. GEBVs can serve as a selection criterion in recurrent GS, maximizing single-cycle but not necessarily long-term genetic gain. As simple genome-wide sums, GEBVs do not take into account other genomic information, such as the map positions of loci and linkage phases of alleles. Therefore, we herein propose a novel selection criterion called expected maximum haploid breeding value (EMBV). EMBV predicts the expected performance of the best among a limited number of gametes that a candidate contributes to the next generation, if selected. We used simulations to examine the performance of EMBV in comparison with GEBV as well as the recently proposed criterion optimal haploid value (OHV) and weighted GS. We considered different population sizes, numbers of selected candidates, chromosome numbers and levels of dominant gene action. Criterion EMBV outperformed GEBV after about 5 selection cycles, achieved higher long-term genetic gain and maintained higher diversity in the population. The other selection criteria showed the potential to surpass both GEBV and EMBV in advanced cycles of the breeding program, but yielded substantially lower genetic gain in early to intermediate cycles, which makes them unattractive for practical breeding. Moreover, they were largely inferior in scenarios with dominant gene action. Overall, EMBV shows high potential to be a promising alternative selection criterion to GEBV for recurrent genomic selection.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.