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EN
The insulin-like growth factor 2 gene (IGF2) has been described in several studies as a candidate gene for meat efficiency in pigs. IGF2 is a member of the growth factors family and has an effect on development of muscle tissue. The effect of IGF2 gene polymorphism on meat efficiency was analysed in a population of 121 Large White pigs. A PCR-based test and RFLP methods were used for detection of genotypes. Allele A, lacking the restriction site, was characterised by the presence of a 0.9-kb fragment. In allele B, the amplimer was cut into a 0.8-kb fragment and some barely detectable fragments. The statistical analysis was carried out according to the General Linear Model procedure. The genotype frequencies observed were: 1.65%, 33.88%, 64.46% for AA, AB and BB genotypes, respectively. There was a significant difference (P 0.05) between the AB and BB genotypes in live weight before the test. A significant association between AB and BB genotypes and body weight before the test was found. No significant difference in other traits of growth and meat efficiency was observed (P > 0.05).
EN
A total of 306 boars (108 Large White and 198 Landrace) were genotyped for 52 candidate SNPs to determine which of the polymorphisms influence growth rate, meat content and selection index. The effects of SNPs were estimated by a mixed linear model including a random additive polygenic animal effect, fixed effects of SNPs including additive, and pairwise additive-by-additive epistases, year*season of birth, breed and RYR1 genotype. In order to estimate all possible pairwise SNP combinations without overparameterising the model a stochastic approach was adopted. A total of 1 350 replications of the model were generated, each containing five randomly selected SNPs. The final estimates of the fixed effects of the model equaled an average out of the replications. The hypothesis of a nonzero effect of SNP was tested by the Wald test. Among 4 257 estimates calculated, many significant (P<0.01), but mostly minor effects (below 1 phenotypic standard deviation) were recorded. The selected SNPs will be further investigated to determine which may be used in MAS.
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