Table 7 Estimated prediction accuracy (correlation between predicted and adjusted grain yield, averaged over 50 TRN-TST partitions), cycle 2011-2012 (W2), CV1
Models/EnvironmentsaCorrelationChange%bNumberc
Single environment
 0iFN0.471(0.043)
 5iBH0.425(0.056)
 5iBN0.509(0.054)
 5iFN0.451(0.055)
Pairs of environmentsInteraction ModelAcross-Env model
 0iFNCor = 0.340.454(0.043)0.375(0.052)−3.6%; 21%7; 50
 5iBH0.409(0.054)0.339(0.060)−3.7%; 20.7%7; 50
 0iFNCor=-0.050.471(0.044)0.334(0.053)0%; 41.2%22; 50
 5iBN0.508(0.054)0.353(0.058)−0.3%; 43.7%17; 50
 0iFNCor = 0.310.453(0.045)0.340(0.058)−3.8%; 33.3%7; 50
 5iFN0.437(0.053)0.345(0.056)−2.9%; 26.9%14; 50
 5iBHCor = 0.330.427(0.055)0.380(0.059)0.4%; 12.3%24; 47
 5iBN0.507(0.057)0.455(0.066)−0.4%; 11.5%23; 49
 5iBHCor = 0.410.420(0.055)0.380(0.061)−1.2%; 10.3%17; 47
 5iFN0.446(0.057)0.411(0.058)−1%; 8.5%21; 48
 5iBNCor = 0.410.500(0.054)0.477(0.060)−1.8%; 4.9%18; 45
 5iFN0.449(0.059)0.438(0.058)−0.4%; 2.5%23; 39
All environments
 0iFN0.438(0.044)0.234(0.060)−7%; 87.7%4; 50
 5iBH0.413(0.054)0.356(0.067)−2.7%; 16.2%16; 47
 5iBN0.489(0.055)0.386(0.065)−4.1%; 26.6%10; 50
 5iFN0.442(0.057)0.396(0.059)−1.9%; 11.6%14; 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 greater accuracy than the single-environment (before semicolon) and he across-environment model (after semicolon).