Mapping genomic regions affecting milk traits in Sarda sheep by using the OvineSNP50 Beadchip and principal components to perform combined linkage and linkage disequilibrium analysis

For the LDLA method, we did expect biased estimates of the QTL posi- tions when the distance between the QTL were reduced. This was because the method considers only one QTL, and

model (middle), and additive model (lower) when additive, dominance and epistasis e ffects are null (A); QTL II and QTL IV have additive effects without dominance and epistasis

positive correlation between r 2 and the mean number of alleles per marker within and between populations (Fig. Since the reduction of the number of alleles is caused by the high

The fitting of multiple QTL gave a much sharper indication of the QTL position than a single QTL model using multitrait data, probably because the multi-locus QTL mapping re- duced

inverse of the 44 × 44 (co)variance matrix among the 44 traits calculated from the estimated effects of the 510,174 SNPs, only in the training population, and y is a 44 × 1 vector

Our results suggest that, in single marker analysis, multiallelic markers may be more useful than biallelic markers in LD mapping of quantitative trait loci. One important

Here, we present the LD decay curves for SNPs on bo- vine autosomes and the X chromosome for three genetic groups of cattle breeds: Bos taurus (taurine), Bos indicus (indicine) and

The design of two half sib families each of size 64 was further investigated for a hypothetical population with e ffective size of 1000 simulated for 6000 generations with a