Table 6. Wheat WHE1 data set. Estimated variance components for the multi-environment models, main genotypic effect model (MM), single variance G×E deviation model (MDs) and environment-specific variance G×E deviation model (MDe) with two kernels, GBLUP (GB) and Gaussian (GK), with $\mathit{l}$ and without $\mathit{l}$ for grain yield (standard deviation in parentheses).

Variance component*	MM$\mathit{l}$-GK	MM$\mathit{l}$-GB	MDs$\mathit{l}$-GK	MDs$\mathit{l}$-GB	MDe$\mathit{l}$-GK	MDe$\mathit{l}$-GB		MM- GK	MM- GB	MDs-GK	MDs- GB	MDe-GK	Mde- GB
${\sigma }^2$	0.805 (0.03)	0.81 (0.03)	0.388 (0.02)	0.471 (0.02)	0.416 (0.02)	0.479 (0.02)		0.812 (0.03)	0.824 (0.03)	0.462 (0.03)	0.551 (0.02)	0.471 (0.02)	0.533 (0.02)
${\sigma }_g^2$	0.597 (0.11)	0.177 (0.04)	0.262 (0.14)	0.074 (0.04)	1.028 (0.2)	0.326 (0.06)		0.599 (0.1)	0.192 (0.03)	0.752 (0.14)	0.219 (0.05)	1.404 (0.17)	0.414 (0.06)
${\sigma }_{ge}^2$	—	—	1.637 (0.16)	0.42 (0.05)	—	—		—	—	1.349 (0.15)	0.349 (0.04)	—	—
${\sigma }_1^2$	—	—	—	—	3.356 (0.44)	1.058 (0.15)		—	—	—	—	3.026 (0.39)	0.868 (0.13)
${\sigma }_2^2$	—	—	—	—	0.271 (0.16)	0.038 (0.03)		—	—	—	—	0.142 (0.07)	0.08 (0.03)
${\sigma }_3^2$	—	—	—	—	0.382 (0.24)	0.031 (0.03)		—	—	—	—	0.135 (0.07)	0.076 (0.03)
${\sigma }_4^2$	—	—	—	—	1.147 (0.24)	0.3 (0.08)		—	—		—	0.839 (0.22)	0.217 (0.06)
${\sigma }_l^2$	0.014 (0.01)	0.024 (0.02)	0.101 (0.02)	0.107 (0.02)	0.077 (0.02)	0.09 (0.02)		—	—	—	—	—

^*Environments are 1, 2, 3, and 4.