Table 3. Wheat data sets.
Trait | Environment | BL | BRR | Bayes A | Bayes B | BIRR | BAI | BIR1 | BIR2 |
---|---|---|---|---|---|---|---|---|---|
DTH | 1 | 0.59 (0.11) | 0.59 (0.11) | 0.59 (0.11) | 0.56 (0.11) | 0.60 (0.11) | 0.60 (0.11) | 0.60 (0.11) | 0.59 (0.11 |
2 | 0.58 (0.14) | 0.57 (0.14) | 0.61 (0.12) | 0.57 (0.13) | 0.62 (0.14) | 0.61 (0.14) | 0.62 (0.14) | 0.65 (0.12) | |
3 | 0.60 (0.13) | 0.60 (0.12) | 0.62 (0.11) | 0.60 (0.12) | 0.62 (0.12) | 0.62 (0.12) | 0.62 (0.12) | 0.63 (0.12) | |
4 | 0.02 (0.18) | 0.07 (0.17) | 0.06 (0.17) | 0.06 (0.17) | 0.06 (0.18) | 0.01 (0.18) | 0.06 (0.18) | 0.04 (0.20) | |
5 | 0.65 (0.09) | 0.64 (0.10) | 0.66 (0.09) | 0.66 (0.09) | 0.65 (0.09) | 0.65 (0.09) | 0.65 (0.09) | 0.65 (0.09) | |
8 | 0.36 (0.15) | 0.37 (0.15) | 0.36 (0.15) | 0.35 (0.14) | 0.38 (0.15) | 0.39 (0.15) | 0.38 (0.15) | 0.36 (0.15) | |
9 | 0.59 (0.12) | 0.59 (0.11) | 0.53 (0.12) | 0.52 (0.11) | 0.60 (0.11) | 0.60 (0.11) | 0.60 (0.11) | 0.57 (0.11) | |
10 | 0.54 (0.14) | 0.52 (0.14) | 0.56 (0.13) | 0.54 (0.14) | 0.55 (0.13) | 0.54 (0.14) | 0.55 (0.13) | 0.56 (0.12) | |
11 | 0.52 (0.15) | 0.52 (0.16) | 0.53 (0.13) | 0.51 (0.13) | 0.54 (0.15) | 0.54 (0.16) | 0.54 (0.15) | 0.52 (0.13) | |
12 | 0.45 (0.19) | 0.42 (0.18) | 0.45 (0.18) | 0.45 (0.18) | 0.47 (0.18) | 0.47 (0.18) | 0.48 (0.18) | 0.49 (0.19) | |
Average | 0.49 | 0.49 | 0.50 | 0.48 | 0.51 | 0.50 | 0.510 | 0.51 | |
% increase | −4.0% | −4.3% | −2.6% | −5.8% | −0.1% | −1.1% | 0% | -0.7% | |
GY | 1 | 0.48 (0.13) | 0.43 (0.14) | 0.48 (0.13) | 0.46 (0.13) | 0.48 (0.13) | 0.48 (0.14) | 0.48 (0.13) | 0.47 (0.13) |
2 | 0.48 (0.14) | 0.41 (0.17) | 0.48 (0.14) | 0.48 (0.14) | 0.47 (0.15) | 0.47 (0.15) | 0.47 (0.15) | 0.48 (0.13) | |
3 | 0.20 (0.21) | 0.29 (0.22) | 0.20 (0.22) | 0.18 (0.22) | 0.24 (0.22) | 0.25 (0.21) | 0.24 (0.22) | 0.21 (0.20) | |
4 | 0.45 (0.15) | 0.46 (0.13) | 0.43 (0.15) | 0.42 (0.15) | 0.46 (0.14) | 0.46 (0.14) | 0.46 (0.14) | 0.43 (0.14) | |
5 | 0.59 (0.14) | 0.56 (0.16) | 0.75 (0.11) | 0.74 (0.12) | 0.58 (0.15) | 0.58 (0.15) | 0.59 (0.15) | 0.58 (0.13) | |
6 | 0.70 (0.10) | 0.67 (0.11) | 0.73 (0.08) | 0.71 (0.08) | 0.71 (0.1) | 0.71 (0.10) | 0.71 (0.1) | 0.71 (0.1) | |
7 | 0.46 (0.14) | 0.50 (0.14) | 0.42 (0.14) | 0.40 (0.15) | 0.48 (0.14) | 0.48 (0.15) | 0.48 (0.14) | 0.42 (0.15) | |
Average | 0.48 | 0.474 | 0.499 | 0.484 | 0.489 | 0.49 | 0.489 | 0.473 | |
% increase | −1.7% | −2.9% | 2.1% | −0.8% | 0.2% | 0.5% | 0% | −3.5% |
Mean predictive correlations (SD in parentheses) for GY and DTH by environment for eight models: BL, BRR, Bayes A, Bayes B (Pérez-Rodríguez et al. 2012), BIRR, BAI, and BIR1 and BIR2. Average correlation for each model and % increase correlation with respect to model BIR1 is shown. The largest values for each trait-environment combination are in boldface. DTH, days to heading; GY, grain yield; BL, Bayesian least absolute shrinkage and selection operator; BRR, RR-BLUP; BIRR, Bayesian inverse ridge regression; BAI, Bayes A inverse; BIR1, Bayesian inverse regression model 1; BIR2, Bayesian inverse regression model 2.