Table 9 Estimated prediction accuracy: correlation between predicted and adjusted grain yield, averaged over 50 TRN-TST partitions, cycle 2010−2011(W1), CV2
Model/EnvironmentsaCorrelation (SE)Change%bNumberc
Single environment
 0iBN0.529(0.044)
 2iBN0.622(0.045)
 5iBNZ0.452(0.051)
 5iFN0.493(0.046)
Pairs of environmentsInteraction ModelAcross-Env Model
 0iBNCor = 0.530.599(0.036)0.590(0.040)13.3%; 1.5%50; 36
 2iBN0.687(0.034)0.664(0.037)10.5%; 3.5%50; 47
 0iBNCor = 0.250.547(0.040)0.476(0.049)3.5%; 14.9%49; 50
 5iBNZ0.467(0.050)0.380(0.051)3.4%; 23.1%48; 49
 0iBNCor = 0.260.544(0.038)0.486(0.042)3.0%; 12.0%46; 48
 5iFN0.501(0.044)0.452(0.048)1.7%; 10.8%45; 48
 2iBNCor = 0.340.661(0.037)0.587(0.042)6.3%; 12.6%50; 50
 5iBNZ0.496(0.044)0.445(0.040)9.8%; 11.4%49; 46
 2iBNCor = 0.330.648(0.043)0.556(0.057)4.2%; 16.5%44; 50
 5iFN0.507(0.047)0.456(0.054)2.8%; 11.3%47; 49
 5iBNZCor = 0.220.476(0.052)0.406(0.057)5.4%; 17.2%33; 50
 5iFN0.491(0.047)0.450(0.062)−0.4%; 9.2%35; 44
All environments
 0iBN0.591(0.040)0.531(0.047)11.8%; 11.3%50; 50
 2iBN0.697(0.033)0.645(0.034)12.1%; 8.2%50; 50
 5iBNZ0.505(0.047)0.399(0.050)11.9%; 26.8%50; 50
 5iFN0.516(0.051)0.429(0.059)4.7%; 20.4%41; 50
  • TRN-TST, training-testing.

  • a Environments are described by a sequence of codes: 0i, 2i, and 5i denote the number of irrigation cycles; B/F denotes whether the planting system was “bed” (B) or “flat” (F); N/H denotes whether planting date was normal (N) or late (H, simulating heat); Z indicates no tillage.

  • b Change in prediction accuracy of the M×E model relative to the prediction accuracy of the single-environment (before semicolon) and relative to the prediction accuracy of the across-environment model (after semicolon).

  • c Number of partitions (of 50) for which the M×E model gave higher accuracy than the single-environment (before semicolon) and the across-environment model (after semicolon).