Table 10 Estimated prediction accuracy (correlation between predicted and adjusted grain yield, averaged over 50 TRN-TST partitions, cycle 2011-2012 (W2), CV2
Models/EnvironmentsaCorrelation (SE)Change%bNumberc
Single environment
 0iFN0.473(0.052)
 5iBH0.414(0.063)
 5iBN0.510(0.052)
 5iFN0.448(0.054)
Pairs of environmentsInteraction ModelAcross-Env Model
 0iFNCor = 0.340.512(0.042)0.436(0.052)8.3%; 17.5%50; 47
 5iBH0.451(0.056)0.386(0.054)8.9%; 16.8%50; 48
 0iFNCor=-0.050.467(0.043)0.271(0.060)−1.2%; 72.2%13; 50
 5iBN0.502(0.048)0.279(0.056)−1.6%; 80.0%6; 50
 0iFNCor = 0.310.520(0.043)0.406(0.056)9.8%; 27.9%50; 49
 5iFN0.502(0.050)0.412(0.060)12.0%; 21.9%50; 49
 5iBHCor = 0.330.477(0.053)0.426(0.061)15.2%; 11.8%48; 47
 5iBN0.546(0.047)0.483(0.051)7.2%; 13.2%47; 49
 5iBHCor = 0.410.500(0.049)0.465(0.050)20.9%; 7.7%50; 45
 5iFN0.520(0.051)0.490(0.055)16.0%; 6.1%50; 40
 5iBNCor = 0.410.558(0.050)0.541(0.052)9.6%; 3.2%49; 43
 5iFN0.501(0.052)0.490(0.055)11.8%; 2.2%50; 37
All environments
 0iFN0.513(0.044)0.298(0.051)8.5%; 72.6%45; 50
 5iBH0.536(0.050)0.481(0.047)29.6%; 11.5%50; 49
 5iBN0.531(0.044)0.401(0.044)4.1%; 32.4%37; 50
 5iFN0.561(0.046)0.523(0.049)25.3%; 7.4%50; 43
  • 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 greater accuracy than the single-environment (before semicolon) and the across-environment model (after semicolon).