ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024
Optimizing selection based on BLUPs or BLUEs in multiple sets of genotypes differing in their population parameters.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Deciphering the genetic basis of nodule number through integrative analysis of host genotype and endophytes.Journal of advanced research · 2026Article
- Prediction-Based Family Selection in Early Stage Sugarcane Breeding: Comparing BLUP, BLUE, Phenotypic Indices, and Machine Learning.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
- Genetic diversity assessment and morpho-agronomic characterization of mungbean (Vigna radiata (L.) Walp.) germplasm using multivariate analysis.BMC plant biology · 2025Article
- Genetic Gains and Field Validation of Synthetic Populations in Tropical Maize Using Selection Indexes and REML/BLUP.Plants (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageSelection response in truncation selection across multiple sets of candidates hinges on their post-selection proportions, which can deviate grossly from their initial proportions. For BLUPs, using a uniform threshold for all candidates maximizes the selection response, irrespective of differences in population parameters. Plant breeding programs typically involve multiple families from either the same or different populations, varying in means, genetic variances and prediction accuracy of BLUPs or BLUEs for true genetic values (TGVs) of candidates. We extend the classical breeder's equation for truncation selection from single to multiple sets of genotypes, indicating that the expected overall selection response
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