Table 3 Wheat data sets
TraitEnvironmentBLBRRBayes ABayes BBIRRBAIBIR1BIR2
DTH10.59 (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
20.58 (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)
30.60 (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)
40.02 (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)
50.65 (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)
80.36 (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)
90.59 (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)
100.54 (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)
110.52 (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)
120.45 (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)
Average0.490.490.500.480.510.500.5100.51
% increase−4.0%−4.3%−2.6%−5.8%−0.1%−1.1%0%-0.7%
GY10.48 (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)
20.48 (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)
30.20 (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)
40.45 (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)
50.59 (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)
60.70 (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)
70.46 (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)
Average0.480.4740.4990.4840.4890.490.4890.473
% 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.