ArticleGenetics2017
Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 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
- A comparative study on recombination activity in cattle.Genetics, selection, evolution : GSE · 2026Article
- MateR: a novel genomic mating framework.Genetics · 2026Article
- Article
- PyMSQ: a Python package for fast Mendelian sampling (co)variance and haplotype-based similarity in genomic selection.BMC bioinformatics · 2026Article
- Strategies to improve on selection based on estimated breeding values.Genetics, selection, evolution : GSE · 2026Article
- Optimization of family sizes in sets of crosses with a greedy allocation strategy based on automatic differentiation.Frontiers in plant science · 2026Article
- Partially connected neural networks for complex trait prediction: application to human height.Human genetics · 2025Article
- Accelerated breeding modernization: a global blueprint for driving genetic gains, climate resilience, and food security in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- DiffBreed: automatic differentiation enables efficient gradient-based optimization of breeding strategies.Bioinformatics (Oxford, England) · 2025Article
- A Similarity Matrix for Preserving Haplotype Diversity Amongst Parents in Genomic Selection.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Molecular breeding approaches for the improvement of oil content and fatty acid composition in exotic-derived maize germplasm.The New phytologist · 2025Article
- Genomic prediction-aided incorporation of genetic resources into elite breeding: lessons from a collaborative multiparental design in flint maize.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
- 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
- Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa.Frontiers in plant science · 2025Article
- Optimizing training sets to identify superior genotypes in hybrid populations.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
A crucial step in plant breeding is the selection and combination of parents to form new crosses. Genome-based prediction guides the selection of high-performing parental lines in many crop breeding programs which ensures a high mean performance of progeny. To warrant maximum selection progress, a new cross should also provide a large progeny variance. The usefulness concept as measure of the gain that can be obtained from a specific cross accounts for variation in progeny variance. Here, it is shown that genetic gain can be considerably increased when crosses are selected based on their genomic usefulness criterion compared to selection based on mean genomic estimated breeding values. An efficient and improved method to predict the genetic variance of a cross based on Markov chain Monte Carlo samples of marker effects from a whole-genome regression model is suggested. In simulations representing selection procedures in crop breeding programs, the performance of this novel approach is compared with existing methods, like selection based on mean genomic estimated breeding values and optimal haploid values. In all cases, higher genetic gain was obtained compared with previously suggested methods. When 1% of progenies per cross were selected, the genetic gain based on the estimated usefulness criterion increased by 0.14 genetic standard deviation compared to a selection based on mean genomic estimated breeding values. Analytical derivations of the progeny genotypic variance-covariance matrix based on parental genotypes and genetic map information make simulations of progeny dispensable, and allow fast implementation in large-scale breeding programs.
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