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Table 5 Characteristics of the simulated animal populations.

From: Bayesian estimation of genetic parameters for multivariate threshold and continuous phenotypes and molecular genetic data in simulated horse populations using Gibbs sampling

Population parameter Simulated value
Total number of animals 280000
Number of animals per generation 40000
Sex ratio (males : females) 1 : 1
Number of contemporary groups per generation 5 (with 2 contemporary groups each represented in 2 subsequent generations)
Number of breeding animals per generation 9400 (9000 dams/400 sires)
Number of offspring per dam or sire dams: 5
sires: 500 (n = 40) or
150 (n = 160) or
5 (n = 200)
Distribution of additive genetic effects a1 ~ N(0, 4.8) and a2–5 ~ N(0, 1.0)
with rg12 = rg13 = 0.20 and
rg14 = rg45 = -0.20 and
aoffspring = 0.5 (asire + adam) + m
Distribution of residual effects e ~ N(0, x)
with x so that h21 = 0.50,
h22 = h24 = 0.10, and
h23 = h25 = 0.25
Prevalences of binary traits after dichotomization T2, T5: 0.25, and
T3, T4: 0.10
Number of QTL (T2) 2
Number of genetic marker per QTL 2
Number of alleles per genetic marker 5
Recombination rate between markers and QTL 0.0 or 0.1
PIC of genetic markers 0.9 or 0.7
  1. ai: random additive genetic effect for trait i (i = 1–5); rgij: additive genetic correlation between traits i and j (i = j = 1–5); aoffspring (asire, adam): additive genetic effect of offspring (sire, dam); m: Mendelian sampling term with m ~ N(0, 0.5σai); e: random residual; h2i: heritability for trait i (i = 1–5; overall heritability for trait 2);
  2. QTL: quantitative trait locus; PIC: polymorphism information content.