Sentence examples for marker density implementation from inspiring English sources

A combination of genomic within-family breeding values, based on low-density genotyping, and conventional BLUP family breeding values was shown to be a possible low marker density implementation of genomic selection for species with large full-sib families for which the costs of genotyping must be kept low without compromising the effect of genomic selection on genetic gain.

Implementation of genomic selection (GS) [ 1] in breeding programs requires dense molecular marker genotypes since increasing marker density increases the probability that a marker is in strong linkage disequilibrium (LD) with a quantitative trait locus (QTL) [ 2].

The average marker density was 5.6 SNP markers per cM or 3.3 SNP markers per recombination point.

Fig. 3 Effect of the marker density on the predictability.

Chromosome wise marker density varied from 6.21 cM/marker in chromosome 11 to 19.25 cM/marker on chromosome 3 (Table 3).

The marker density required is determined by how quickly linkage disequilibrium (LD) decays in the population.

Unfortunately, in our panel, the marker density along the target zone was uneven with a clear lack of markers in the second half of the target zone.

The model utilized marker density close to that in our experimental dataset: one marker for each 10 kb.

These results indicate that imputation from low marker density to high marker density, shown by Hickey et al. (2012) to be very accurate in maize, is important in the practical implementation of GS, because imputation from low to high marker density will generate economic savings during the breeding cycles while increasing prediction accuracy.

The accuracy increased with increasing marker density.

The entire marker density was 0.42.