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Objectives and strategies in pig improvement: an applied perspective
1Cotswold Pig Development Company Limited, Market Rasen, Lincs., United Kingdom.
Journal of Dairy Science
|October 20, 1998
Summary
Genetic selection in pigs has advanced significantly, focusing on production potential and realization. Advanced methods like Best Linear Unbiased Prediction (BLUP) and molecular tools offer future improvements in traits like litter size and meat quality.
Area of Science:
- Animal Science
- Genetics
- Agricultural Biotechnology
Background:
- Simple performance testing has driven pig genetic improvement for 30 years.
- Modern swine production requires genetic objectives focused on both potential and its realization.
- Limitations in current genetic improvement strategies necessitate exploring advanced methodologies.
Purpose of the Study:
- To review advancements in pig genetic improvement strategies.
- To identify future directions for enhancing production traits and meat quality.
- To evaluate the potential of quantitative and molecular methods in swine breeding.
Main Methods:
- Review of established performance testing and genetic selection principles.
- Discussion of Best Linear Unbiased Prediction (BLUP) for increased accuracy and flexibility.
- Exploration of electronic feed intake measures and marker-assisted selection (MAS).
Main Results:
- BLUP methodology offers faster genetic improvement through enhanced accuracy.
- Electronic feed intake measures allow selection based on feeding behavior.
- Marker-assisted selection faces constraints from high DNA testing costs and small gene effects.
- A combination of BLUP, Meishan breed, and ESR gene may increase litter size by 4 piglets/litter in 10 years.
- Lean growth improvement seems unlimited, but risks include negative impacts on reproduction and disease resistance.
Conclusions:
- Quantitative genetic methods remain cost-effective for swine improvement.
- Molecular technologies face challenges, particularly in understanding the genetics of the immune system.
- Future genetic gains in pigs will likely involve integrating advanced quantitative and molecular approaches.