Table 1 Summary of heritability (h2), number of QTL (nQTL), selection design, traininga and testing populations for each scenario

From: Incorporating the single-step strategy into a random regression model to enhance genomic prediction of longitudinal traits

Scenarios

h2

nQTL

Selection designs b

Testing populations c

1

0.3

100

Random

g=4, 5, 6, 7, 8, 9, 10

2

0.3

100

PGV

g=4, 5, 6, 7, 8, 9, 10

3

0.1

100

Random

g=4

4

0.5

100

Random

g=4

5

0.3

10

Random

g=4

6

0.3

500

Random

g=4

  1. aIndividuals in the training population (n=1000) were all sires (n=100) and other randomly selected individuals (n=900) from generations 1 and 2 for all scenarios.
  2. bIn all scenarios, sires were either selected based on predicted genetic value (PGV) from the pedigree-based random regression model or selected randomly (Random) from each of generations 1–10.
  3. cIndividuals in the testing population were randomly selected from each particular generation (g). The size of the testing population was 1000.
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