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Table 2 Mean accuracy (±SD) of genomic predictions over 5 replicates obtained with different training setsa for eEWb

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

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