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Traditional economics was clear enough as to the consequences that will follow if one or more of the prices in the system "gets stuck" at a disequilibrium level.
Tested factors were the reference population size, the number of effective ancestors, the linkage disequilibrium level at 70 kb and the relationship between training and validation populations.
The linkage disequilibrium level among markers (SNPs and SSRs) identified within the apple cultivar collection, was calculated and visualised using Haploview 4.2, a software package designed for linkage disequilibrium statistics and haplotype block inference from genotype data [ 45].
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He maintained that there can be conditions under which excess demands (or supplies) will not be "effectively" communicated so that, although certain prices are at disequilibrium levels, no process of bidding them away from these inappropriate levels will get started.
We compare the power of our model under different heritability levels, disequilibrium levels and sample sizes.
Their analyses (based on mutation rate, inbreeding rate, linkage disequilibrium levels, etc).
Genome- and population-related factors, then, explain why linkage disequilibrium levels vary dramatically across the genome and among some populations.
Pemberton et al. reported a correlation between linkage disequilibrium levels and ROH distribution in the human genome [ 28].
Linkage disequilibrium levels are moderate to strong over a 186 kb region including GAK as well as five other genes, leading to poor resolution at this locus.
GEBV accuracies of candidates depend on the genetic characteristics of the reference population i.e. number of individuals, effective population size, linkage disequilibrium, inbreeding level, and relationship of candidates to the reference population and heritability of the phenotype [ 6- 8].
However, factors such as linkage disequilibrium and levels of genetic diversity influence the power and resolution of this approach.
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