Sentence examples for breeds density from inspiring English sources

Previous studies regarding CHD, based on sample sizes of 150-800 andmals and using microsatellites [ 14, 15] or SNPs [ 16– 19], have shown inconsistent results for QTL position depending on the breeds, density of markers, allele frequencies and statistical methods used.

In this study it is our objective to estimate and describe genome wide levels of LD in four pig breeds using high density genotypes.

Porto-neto, L. R., Kijas, J. W. & Reverter, A. The extent of linkage disequilibrium in beef cattle breeds using high-density SNP genotypes.

They also remark that in the 1970s and 1980s, the European Union Common Agricultural Programme (CAP) encouraged less hardier but higher-output breeds and higher densities of livestock, which led to land degradation - environmentalists then accused farmers of being 'degraders', rather than focusing on the negative incentives from the policy measures.

Here we genotyped a broad panel of 678 pigs from 5 Tibetan regional populations and 34 lowland breeds using high-density SNP genotyping arrays.

We used two complementary methods (iHS and global FST) to detect selection signatures across the whole bovine genome and across seven diverse cattle breeds using high-density genotypes.

Fadista et al. recently reported 304 CNV regions in 20 animals of 4 cattle breeds using high-density array CGH [ 30].

Development of more complex strategies would benefit from the analysis of native breeds with high-density marker panels that can distinguish between neutral and selected genomic regions.

This implies that accurate predictions of breeding value may persist for several generations, allowing for: 1) a reduced number of phenotypic measurements in each generation [ 1] and; 2) the possibility of accurate predictions across different breeds provided sufficient marker density [ 2].

Thus, as the marker density increases, breed differences of markers effects decreases while the number of extra parameters in BSAM increases.

In this paper, we show that using a large reference population from two breeds, combined with high-density SNP genotypes and a nonlinear method for the analysis (BayesR) increases the accuracy of genomic predictions in a breed that is not included in the reference population.