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Strategies to utilize marker-quantitative trait loci associations
1Roslin Institute, Edinburgh, Midlothian, United Kingdom.
Journal of Dairy Science
|October 20, 1998
Summary
Marker-assisted selection offers significant advantages for breeding by utilizing genetic markers. This approach enhances selection efficiency, especially for complex traits, paving the way for genomic selection.
Area of Science:
- Agricultural Science
- Genetics
- Animal Breeding
Background:
- Genetic markers offer heritable traits for selection, correlating with economic value.
- Marker-assisted selection (MAS) is particularly advantageous for traits difficult to assess with traditional methods, like sex-limited or carcass traits.
- Advancements in marker technology are enabling higher marker densities for precise associations.
Purpose of the Study:
- To explore the potential and application of marker-assisted selection in breeding programs.
- To discuss the challenges and methodologies for effectively utilizing marker information.
- To outline the transition towards comprehensive genomic selection models.
Main Methods:
- Review of theoretical and simulation studies on MAS effectiveness.
- Discussion of cross-validation techniques for assessing marker information.
- Exploration of emerging technologies for high-density marker identification and association analysis.
Main Results:
- MAS can provide substantial advantages over traditional selection, especially for challenging traits.
- High-density marker systems facilitate close associations between marker and trait loci.
- Emerging technologies promise complete association with trait loci, though identifying specific causal polymorphisms remains a challenge.
Conclusions:
- Advanced marker systems and genomic selection models can integrate all genomic regions for breeding.
- Effective utilization of MAS and genomic selection relies on robust trait data collection.
- The future of breeding involves a unified model incorporating infinitesimal effects and individual loci for total genomic selection.