Table 2.

GS prediction accuracies for seven phenotypes (flesh color, color when boiled, skin texture, dry matter, eye depth, crisp score, and maturity). For each trait, the following is shown: heritability (h²), maximum theoretical prediction accuracy of the model (Max. potential prediction), accuracy achieved using the BayesA model (BayesA), and the accuracy achieved when using the BayesB model (BayesB) at four settings, differing the probIn at 0.1, 0.05, 0.01, and 0.005.

Trait	h2a	Max. potential predictionb	Bayes A	Bayes B
				0.1	0.05	0.01	0.005
Flesh color	0.8	0.89	0.81 (0.012)	0.80 (0.018)	0.81 (0.019)	0.80 (0.019)	0.81 (0.016)
Color when boiled	0.69	0.83	0.77 (0.014)	0.75 (0.021)	0.72 (0.037)	0.75 (0.022)	0.73 (0.027)
Skin texture	0.5	0.71	0.46 (0.062)	0.50 (0.055)	0.52 (0.054)	0.48 (0.033)	0.56 (0.053)
	0.75	0.87	0.45 (0.064)	0.49 (0.036)	0.51 (0.07)	0.48 (0.029)	0.5 (0.035)
Dry matter	0.5	0.71	0.49 (0.042)	0.48 (0.083)	0.49 (0.075)	0.49 (0.075)	0.54 (0.071)
	0.74	0.86	0.55 (0.071)	0.48 (0.071)	0.47 (0.083)	0.48 (0.072)	0.47 (0.069)
Eye depth	0.5	0.71	0.42 (0.055)	0.44 (0.095)	0.47 (0.091)	0.50 (0.092)	0.54 (0.099)
	0.75	0.87	0.42 (0.055)	0.39 (0.092)	0.39 (0.093)	0.38 (0.094)	0.37 (0.098)
Crisp score	0.59	0.77	0.37 (0.074)	0.46 (0.084)	0.45 (0.078)	0.45 (0.076)	0.46 (0.080)
	0.75	0.87	0.37 (0.078)	0.69 (0.093)	0.69 (0.092)	0.67 (0.089)	0.67 (0.092)
Maturity	0.83	0.91	0.23 (0.061)	0.27 (0.080)	0.29 (0.057)	0.27 (0.067)	0.27 (0.083)

^aHeritabilities listed were not calculated from the described phenotypic data set, but are estimates from previous sources (Slater et al., 2014) or have been estimated by correlated traits. Where there are multiple parameters or uncertainty regarding the trait’s heritability, multiple options have been included to allow for different scenarios.

^bThe maximum potential prediction was calculated by taking the square root of the heritability.