Table 2.

Results of the mixed linear model applied on the MET-22 to evaluate the impact of the envirotyping on variance repartition

Trait	Models	% Variance
	Models (5)	G	E	G × E	R	ε
SY		24.7	55.5	5.8	3.8	10.1

	Model (2)	G	En	En × E	G × En	G × En × E	R	ε
SY		20	44.4	19.2	1.2	3.9	3.1	8.2

Data had been analyzed using linear model (2): $Y_{\mathit{ijkl}}=\mu +G_i+E{n}_l+E{n}_{l\left(k\right)}+G_i\times E{n}_l+G_i\times E{n}_{l\left(k\right)}+\underset{\_}{R_{j\left(l\times k\right)}}+\underset{\_}{{\epsilon }_{\mathit{ijkl}}}$; with the genotype (G), the envirotype (En), the environment nested in the envirotype (En_l(k) or En × E), the genotype by envirotype interaction (G × En), the genotype by environment by envirotype interaction (G_i × En_l(k)) or G × En × E) and the block effect nested in the environment, nested in the envirotype (R) and compared with the results of linear model (5): $Y_{\mathit{ijk}}=\mu +G_i+E_k+G_i\times E_k+\underset{\_}{R_{j\left(k\right)}}+\underset{\_}{{\epsilon }_{\mathit{ijk}}}$, with the genotype (G), the environment (E), the genotype by environment interaction (G × E) and the block (R) nested in the environment