Estimation an d d ecomposition of g enetic trends in a two way cross using Hungarian pig breeds Nagy, F arka s, Kövér, Czakó and Gorjanc ASD, 20 th Int.

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Presentation transcript:

Estimation an d d ecomposition of g enetic trends in a two way cross using Hungarian pig breeds Nagy, F arka s, Kövér, Czakó and Gorjanc ASD, 20 th Int. Symposium 201 2, 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 to from 68 herds Pedigree was available from 1983 (60926) Traits – Lean meat percentage (LMP) –Age (AGE) –Average daily gain (ADG)

M ethod 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 Partitioning of International Genetic Trends by origin in Brown Swiss Bulls. Interbull Bulletin, 44, ) Softwares –PEST, VCE, R-Project

Descriptive statistics (Pietrain) VariableMeanSDMinMax LMP ADG Age LMP, lean meat percentage %; ADG, average daily gain; AGE, age

Descriptive statistics (Duroc) VariableMeanSDMinMax LMP ADG Age LMP, lean meat percentage %; ADG, average daily gain; AGE, age

Descriptive statistics (Cross) VariableMeanSDMinMax LMP ADG Age LMP, lean meat percentage %; ADG, average daily gain; AGE, age

LMP: variance component ratios ADGADG ADGADG ADGADG LMPLMP LMPLMP LMPLMP Genetic trends for ADG and LMP were 0.4 g/day and %,

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