Table 4 Difference between the epistatic and additive models predictive accuracy (r) for all sets of fixed effects
Embedded ImageEmbedded Image
TraitsPanelμPC1PC5CL3CL9μPC1PC5CL3CL9
Arabidopsis
realEmbedded Image0.1270.1190.0610.0660.0510.0960.0950.0460.0460.037
Embedded Image0.0350.0350.0280.0270.0260.0150.0150.0140.0130.014
Embedded Image0.0030.003−0.003−0.004−0.0040.0070.0070.0060.0050.005
Embedded Image−0.012−0.013−0.019−0.019−0.019−0.001−0.001−0.002−0.003−0.003
Embedded Image−0.013−0.014−0.019−0.019−0.020−0.001−0.001−0.003−0.003−0.003
simulatedEmbedded Image0.0680.0670.0480.0610.0480.0340.0340.0210.0300.022
Embedded Image0.0390.0390.0390.0400.0400.0200.0200.0190.0200.020
Embedded Image0.0050.0050.0040.0040.0020.0060.0060.0060.0060.006
Embedded Image−0.008−0.009−0.009−0.009−0.011−0.001−0.001−0.001−0.001−0.001
Embedded Image−0.010−0.010−0.010−0.011−0.013−0.002−0.002−0.002−0.002−0.002
Rice
realEmbedded Image0.0970.0960.0910.0990.0990.0460.0430.0430.0460.046
Embedded Image0.0490.0500.0500.0500.0500.0060.0050.0060.0070.006
Embedded Image0.0140.0140.0150.0150.015−0.020−0.020−0.020−0.019−0.019
Embedded Image0.0090.0090.0090.0100.010−0.017−0.017−0.017−0.016−0.016
Embedded Image0.0080.0080.0080.0080.009−0.022−0.022−0.022−0.022−0.022
simulatedEmbedded Image0.0340.0340.0270.0340.0330.0110.0120.0090.0110.010
Embedded Image0.0130.0130.0130.0130.0130.0000.0010.0020.0000.000
Embedded Image−0.009−0.009−0.009−0.009−0.009−0.005−0.005−0.005−0.005−0.005
Embedded Image−0.012−0.013−0.013−0.013−0.013−0.027−0.027−0.027−0.027−0.026
Embedded Image−0.013−0.013−0.013−0.013−0.013−0.007−0.007−0.007−0.007−0.007