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Published on: October 5, 2012
Selection on Expected Maximum Haploid Breeding Values Can Increase Genetic Gain in Recurrent Genomic Selection
Dominik Müller1, Pascal Schopp2, Albrecht E Melchinger3
1University of Hohenheim, Institute of Plant Breeding, Seed Science and Population Genetics, Fruhwirthstr. 21, 70599 Stuttgart and.
Expected maximum haploid breeding value (EMBV) offers improved long-term genetic gain and diversity in recurrent genomic selection compared to genomic estimated breeding values (GEBVs). EMBV predicts gamete performance, outperforming GEBV after five cycles in simulations.
Area of Science:
- Quantitative genetics
- Animal breeding
- Genomics
Background:
- Genomic selection (GS) uses genome-wide markers for breeding values (GEBVs).
- GEBVs maximize short-term gain but may not optimize long-term genetic progress.
- GEBVs do not incorporate marker positions or linkage phase information.
Purpose of the Study:
- Introduce a novel selection criterion, expected maximum haploid breeding value (EMBV).
- Evaluate EMBV's performance against GEBV and other criteria (OHV, weighted GS).
- Assess EMBV's effectiveness in recurrent genomic selection under various scenarios.
Main Methods:
- Simulations were conducted to compare EMBV, GEBV, OHV, and weighted GS.
- Scenarios included varying population sizes, selection intensity, chromosome numbers, and dominance.
- Performance was evaluated based on genetic gain, diversity, and cycle efficiency.
Main Results:
- EMBV surpassed GEBV in long-term genetic gain and population diversity after approximately five selection cycles.
- EMBV demonstrated superior performance, especially under dominant gene action.
- Other criteria (OHV, weighted GS) showed potential in later cycles but had lower early-stage gains.
Conclusions:
- EMBV is a promising alternative selection criterion for recurrent genomic selection.
- EMBV enhances long-term genetic gain and maintains population diversity.
- EMBV offers advantages over GEBV, particularly in scenarios with complex genetic architectures.
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