Table 2.

Mean prediction abilities and standard errors for dry matter yield of six models across different training set sizes for 274 winter rye hybrids assessed in eight environments across two flight dates

Modela	Training set sizeb
	20 (%)	40 (%)	60 (%)	80 (%)
GBLUP	0.32a ± 0.002	0.44a ± 0.002	0.54a ± 0.002	0.60a ± 0.003
HBLUP	0.42b ± 0.004	0.51b ± 0.002	0.56b ± 0.002	0.59a ± 0.003
G + H	0.46c ± 0.003	0.59d ± 0.002	0.66d ± 0.002	0.71d ± 0.003
Bivariate_G	0.54e ± 0.004	0.61e ± 0.002	0.66d ± 0.002	0.69c ± 0.003
Bivariate_H	0.50d ± 0.005	0.55c ± 0.004	0.60c ± 0.002	0.62b ± 0.003
Bivariate_G + H	0.56f ± 0.007	0.65f ± 0.004	0.71e ± 0.003	0.75e ± 0.002

^aSee Table 1 for more information about the listed models

^bWithin a column, means with no letter in common are significantly different (Tukey’s honestly significant difference test; α = 0.01%)