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Genetic gain on 
body composition in 
pigs by Computed 
Tomography (CT). 
Return on 
investment 
J淡rgen Kongsro
Accurate and non-invasive 
in vivo measurements 
Backward compatible 
Increase of genetic gain is 
around 30% 
Value for industry
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
G = 
Selection intensity Accuracy 
selection intensity  accuracy 
generation interval 
Generation interval 
genetic gain
Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment (invited talk)
* Landrace: 
Correlation: 0.87 
SEP: 0.17 
Phenotypic STD: 0.35 
* Duroc: 
Correlation: 0.95 
SEP: 0.23 
Phenotypic STD: 0.74
Chemical analysis h2 = 0.40 
1980 2005 
2014 
NIR h2  0.60 
Accuracy
Introduction 
NIR 
Introduction 
CT 
2005 2008 
 Introducing new 
technologies; NIR and CT 
at different points in time. 
Consequences for IMF
Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment (invited talk)
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
12 % 
6 % 
3 % 
Landrace 束The mother損. Focus on maternal, litter size 
and robustness traits (79%) 
30 % 
Duroc 束The father損. Focus on production, carcass and 
meat quality (77%) 
Landrace 
30 % 
20 % 29 % 
Production Carcass Meat 
Litter Maternal Robustness Duroc 
22 % 
20 % 
28 %
The genetic battle 
Growth 
- + 
- 
Carcass Meat quality
Norsvin Delta
Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment (invited talk)
Genetic gain on body composition in pigs by Computed Tomography (CT). Return on investment (invited talk)
2008 2014 
LMP LMP 
YIELD YIELD 
OC OC 
IMF IMF 
Backward compatible
200901 201411 
Days 40-120 kg LMP IMF 
Stillborn 3W OCD 
Landrace 
Genetic gain from 2009 - 
Balancing the breeding goal
200901 201411 
Days 40-120 kg LMP IMF 
Live born OCD 
Duroc 
Genetic gain from 2009 - 
Balancing the breeding goal
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)
Thank you for your attention 
J淡rgen Kongsro 
jorgen.kongsro@norsvin.no
Ad

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Ad

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 J淡rgen 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 束The mother損. Focus on maternal, litter size and robustness traits (79%) 30 % Duroc 束The father損. 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
  • 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 J淡rgen Kongsro jorgen.kongsro@norsvin.no