Table 3. Model of predictive ability and stability.

Model	Predictive ability		Predictive stability
	Breeding value*	Genetic value**	Breeding value	MSE (BV)	10% rank cor (BV)
P_A	0.89	—	0.64	1335.67	0.17
M_A	0.87	—	0.66	1294.23	0.17
P_AD	0.86	0.89	0.72	681.53	0.12
M_AD	0.82	0.88	0.74	418.83	0.31
P_A#A	0.86	0.89	0.73	669.99	0.15
M_A#A	0.76	0.89	0.85	82.80	0.46
P_D#D	0.86	0.89	0.73	638.58	0.18
M_D#D	0.77	0.89	0.86	161.78	0.43
P_A#D	0.86	0.89	0.73	657.22	0.16
M_A#D	0.76	0.89	0.86	208.15	0.42

^*Correlation between the phenotypic average of all the ramets (phe) and BV-all, and

^**correlation between phe and total genetic value (GV-all = BV-all + DV + epistatic value). Stability in a cross-validation; correlation between BV-all and BV-cv, mean square error (MSE) and correlation of ranking positions for the top 10% individuals [10% rank cor(BV)].