DEVELOPMENT AND TESTING OF MIXED LINEAR MODELS FOR PREDICTION OF GENETIC VARIABILITY OF PIGS BREEDING VALUE TRAITS
Abstract
According to the results of testing of mixed linear regression models, it was determined that the following models correspond to the structure of the studied data most accurately: according to the average daily weight gain and lean meat content - a model including fixed factors of the breed, sex and farm; according to the backfat thickness - breeds and farms with random factors “father”; according to multiplicity of sows - a model that includes fixed factors of the breed, farm, regression to the farrowing number; according to the litter weight - breed, farm, regression to the farrowing number and litter weight with a random factor “animal”. Calculation of breeding (genetic) value of producing boars and sows was carried out based on mixed linear models by the BLUP method.
About the Authors
N. M. Hramchenko
RUE «Scientific and Practical Center of the National Academy of Sciences of Belarus on Animal Husbandry»
Russian Federation
Russian Federation
A. V. Romanenko
RUE «Scientific and Practical Center of the National Academy of Sciences of Belarus on Animal Husbandry»
Russian Federation
Russian Federation
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Review
For citations:
Hramchenko N.M., Romanenko A.V. DEVELOPMENT AND TESTING OF MIXED LINEAR MODELS FOR PREDICTION OF GENETIC VARIABILITY OF PIGS BREEDING VALUE TRAITS. Zootechnical Science of Belarus. 2018;53(1):144-155. (In Russ.)
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