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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.