Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment (invited talk)
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This document discusses using computed tomography (CT) to measure pigs' body composition for genetic selection. CT scanning allows accurate, non-invasive measurements of fat, muscle and bone in live animals. Using these CT measurements in breeding programs can increase genetic gain for important traits by around 30% compared to previous methods like chemical analysis or ultrasound. CT scanning has been used in Norwegian breeding programs since 2008, improving traits like lean meat percentage and intramuscular fat content while maintaining other important goals.
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Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment (invited talk)
- 1. Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment Jørgen Kongsro
- 2. Accurate and non-invasive in vivo measurements Backward compatible Increase of genetic gain is around 30% Value for industry
- 3. Hazel, L. N. (1943). The Genetic Basis for Constructing Selection Indexes. 1. The selection differential 2. The multiple correlation between aggregate breeding value and the selection index 3. Genetic variability Without data, you are blind and deaf and in the middle of a freeway - Geoffrey Moore why work is needed
- 4. G = Selection intensity Accuracy selection intensity ⇥ accuracy generation interval Generation interval genetic gain
- 6. * Landrace: Correlation: 0.87 SEP: 0.17 Phenotypic STD: 0.35 * Duroc: Correlation: 0.95 SEP: 0.23 Phenotypic STD: 0.74
- 7. Chemical analysis h2 = 0.40 1980 2005 2014 NIR h2 0.60 Accuracy
- 8. Introduction NIR Introduction CT 2005 2008 • Introducing new technologies; NIR and CT at different points in time. Consequences for IMF
- 10. Dissection of carcasses. Half-sibs or sibs. Manual separation of fat, muscle and bone. In vivo CT-scanning of live boars. Actual animal. Automatic segmentation of fat. muscle and bone 2008
- 11. 12 % 6 % 3 % Landrace «The mother». Focus on maternal, litter size and robustness traits (79%) 30 % Duroc «The father». Focus on production, carcass and meat quality (77%) Landrace 30 % 20 % 29 % Production Carcass Meat Litter Maternal Robustness Duroc 22 % 20 % 28 %
- 12. The genetic battle Growth - + - Carcass Meat quality
- 13. Norsvin Delta
- 16. 2008 2014 LMP LMP YIELD YIELD OC OC IMF IMF Backward compatible
- 17. 200901 201411 Days 40-120 kg LMP IMF Stillborn 3W OCD Landrace Genetic gain from 2009 - Balancing the breeding goal
- 18. 200901 201411 Days 40-120 kg LMP IMF Live born OCD Duroc Genetic gain from 2009 - Balancing the breeding goal
- 19. The scientific conclusions 3500 boars are tested and scanned annually from 2008 Focus on body composition An estimated increased genetic gain of 30% Meat quality are under development. Leg weakness scoring (osteochondrosis) has been implemented Backward compatibility The next steps Automatic script for osteochondrosis Weight of cuts Meat quality Integration with ultrasound and vision systems Development of new protocols (kV, mA, dual-scan)
- 20. Thank you for your attention Jørgen Kongsro jorgen.kongsro@norsvin.no