Effects of number of training generations on genomic prediction for various traits in a layer chicken population

Table 2 Mean accuracy (±SD) of genomic predictions over 5 replicates obtained with different training sets^a for eEW^b

Scenario	Distribution of training animals across generations	Number of generations in training	Number of animals in training	Prediction accuracy (±SD)
1	G9 = 250	1	250	0.46 ± 0.089
2	G9 = G8 = 250	2	500	0.60 ± 0.019
3	G9 = G8 = G7 = 250	3	750	0.64 ± 0.017
4	G9 = 125	1	125	0.23 ± 0.021
5	G9 = G8 = 125	2	250	0.45 ± 0.088
6	G9 = G8 = G7 = 125	3	375	0.57 ± 0.038
7	G9 = G8 = G7 = G6 = 125	4	500	0.57 ± 0.021
8	G9 = G8 = G7 = G6 = G5 = 125	5	625	0.58 ± 0.010
9	G9 = G8 = G7 = G6 = G5 = G4 = 125	6	750	0.58 ± 0.013

^aIn this analysis, G10 was used as the validation generation and training individuals were randomly sampled from G4 to G9
^beEW, early average weight of 3–5 eggs

ISSN: 1297-9686