Table 2 Mean accuracy and standard error of the mean of each method, calculated over ten replicates each, times 100

Base$$63.6\pm 1.2$$$$63.8\pm 1.2$$$$64.8\pm 1.4$$$$62.5\pm 1.3$$$$61.5\pm 1.5$$$$62.2\pm 1.4$$
$$S_{10}$$$$63.6\pm 1.5$$$$84.6\pm 1.5$$$$91.3\pm 1.3$$$$63.1\pm 1.3$$$$82.0\pm 1.4$$$$62.7\pm 1.4$$
$$S_{100}$$$$61.6\pm 0.7$$$$64.4\pm 1.0$$$$66.8\pm 1.3$$$$61.0\pm 0.6$$$$61.5\pm 1.1$$$$60.7\pm 0.7$$
$$S_{1000}$$$$66.0\pm 1.8$$$$64.9\pm 1.7$$$$66.0\pm 1.8$$$$65.7\pm 1.8$$$$62.9\pm 2.1$$$$65.5\pm 1.8$$
$$D_{\text {medium}}$$$$55.4\pm 2.0$$$$55.6\pm 1.8$$$$56.2\pm 2.1$$$$56.1\pm 2.0$$$$55.4\pm 2.2$$$$55.8\pm 2.0$$
$$D_{\text {extreme}}$$$$42.8\pm 1.7$$$$42.8\pm 1.5$$$$43.4\pm 1.8$$$$49.7\pm 1.7$$$$49.5\pm 1.7$$$$49.2\pm 1.7$$
$$E_A$$$$43.9\pm 2.0$$$$44.0\pm 1.8$$$$44.6\pm 2.1$$$$43.2\pm 2.2$$$$41.4\pm 2.0$$$$43.3\pm 2.4$$
$$E_C$$$$44.9\pm 2.1$$$$44.5\pm 2.4$$$$45.4\pm 2.4$$$$44.5\pm 2.1$$$$43.9\pm 2.4$$$$44.4\pm 2.2$$
$$E_I$$$$56.5\pm 1.5$$$$56.4\pm 1.7$$$$58.0\pm 1.6$$$$55.2\pm 1.5$$$$54.0\pm 1.8$$$$55.2\pm 1.5$$
1. Each row corresponds to a scenario, as summarized in Table 1. The different columns correspond to different methods, GBLUP and Bayes-B are additive methods, GBLUP-AD and BayesB-AD are methods with additive and dominance features and GBLUP-ADAA has additive, dominance and additive × additive features