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Estimation and decomposition of genetic trends in a two way cross
using Hungarian pig breeds
Nagy, Farkas, Kövér, Czakó and Gorjanc
ASD, 20th Int. Symposium 2012, Kranjka Gora Slovenia
Introduction
• Genetic evaluation– Based on BLUP in most
domesticated species– First application in pig:
Hudson and Kennedy (1985)
– In Hungary its application is compalsory from 2008
• Purebred and crossbred data
Material
• Field test data of Pietrain (5717), Duroc (4868) and their cross (4728)
• Data from 1998 to 2010 from 68 herds• Pedigree was available from 1983 (60926)• Traits
– Lean meat percentage (LMP)– Age (AGE)– Average daily gain (ADG)
Method• Bivariate animal models• Fixed effects
– Year month– Sex– Genotype– Herd
• Random effects– Animal– Litter
Methods
•Genetic trend decomposition – Gorjanc, G., Potočnik K., García-Cortés L. A.,
Jakobsen, J., Dürr, J. 2011. Partitioning of International Genetic Trends by origin in Brown Swiss Bulls. Interbull Bulletin, 44, 81-86.)
•Softwares– PEST, VCE, R-Project
Descriptive statistics (Pietrain)
Variable Mean SD Min Max
LMP 61.7 2.10 52.7 68
ADG 527 60.5 283 774
Age 176 23.2 120 295LMP, lean meat percentage %; ADG, average daily gain; AGE, age
Descriptive statistics (Duroc)
Variable Mean SD Min Max
LMP 58.2 1.87 50.0 66.8
ADG 557 56.6 318 756
Age 175 21.7 120 285LMP, lean meat percentage %; ADG, average daily gain; AGE, age
Descriptive statistics (Cross)
Variable Mean SD Min Max
LMP 59.7 2.02 52.5 66
ADG 566 67.9 317 764
Age 175 21.6 120 282LMP, lean meat percentage %; ADG, average daily gain; AGE, age
LMP: variance component ratios
0
0.1
0.2
0.3
0.4
0.5
0.6
h2c2e2h2c2e2
ADG
ADG
ADG
LMP
LMP
LMP
Genetic trends for ADG and LMP were 0.4 g/day and -0.004 %,
Partitioning of the genetic trend by
genotype for average daily gain (g/day)
(10, Duroc;12, Pietrain; 34, Pietrain ×
Duroc)
Partitioning of the genetic trend by genotype for lean meat percentage (%)(10, Duroc;12, Pietrain; 34, Pietrain × Duroc)
Conclusions• Observed progress in both traits was low
• As selection is now based on BLUP increased genetic trends are expected in the future
• Application of trend decomposition is advocated for the different crosses