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. 2016 Jul 19;172(2):749–764. doi: 10.1104/pp.16.00621

Table I. Variance components of the different mixed models for grain yield.

Statistical Model Type Ga G × ECb G × Lc G × Yd G × L × Ye Resf
Model M1: Multi-envt
Variance component (t ha−1)2
0.359

0.130
0.054
0.133
0.480
Model M2: Multi-envt + EC
Variance component (t ha−1)2
0.353
0.039
0.118
0.053
0.140
0.452
Model M3: Multi-envt, multilocus
Variance component (t ha−1)2
0.074
0.012
0.064
0.039
0.080
0.370
Model M1: Multi-envt
sd as % of mean
9.1

5.5
3.5
5.5
10.5
Model M2: Multi-envt + EC
sd as % of mean
9.0
3.0
5.2
3.5
5.7
10.2
Model M3: Multi-envt, multilocus
sd as % of mean
4.1
1.7
3.9
3.0
4.3
9.3
QTLs (diff. var. comp. model 2–3 in %) ­ 79 69 45 26 43 18

The general mean of grain yield was 6.57 t ha−1.

a

Genotype.

b

Genotype by environmental classification.

c

Genotype by location.

d

Genotype by year.

e

Genotype by location by year.

f

Experiment-specific residual error variances.