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Table 1 Comparison of prediction performances between conventional single-step (SS-GBLUP) and single-step NNMM (SS-NN-GBLUP)

From: Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes

Method

% non-genotyped individuals

30%

50%

70%

90%

SS-GBLUP

0.808 (0.005)

0.757 (0.007)

0.694 (0.013)

0.558 (0.015)

SS-NN-GBLUP

0.810 (0.006)

0.754 (0.007)

0.691 (0.013)

0.559 (0.014)

  1. The average prediction accuracies from 10 replications with the standard deviation in brackets