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Table 3 Prediction accuracy (average of the ten trn–tst random partitions of the Pearson correlation, APC) of models M11 and M13 for time-points 1–9 for each environment for 90CV when 90% of lines are missing in only one environment (standard error, SE)

From: Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data

Time-point Drought Irrigated Reduced irrigation
APC SE APC SE APC SE
M11
 1 0.142 0.017 0.244 0.019 0.175 0.013
 2 0.197 0.016 0.231 0.027 0.145 0.019
 3 0.307 0.018 0.422 0.013 0.315 0.022
 4 0.248 0.014 0.347 0.020 0.238 0.019
 5 0.298 0.016 0.394 0.016 0.259 0.015
 6 0.415 0.006 0.459 0.011 0.310 0.022
 7 0.589 0.008 0.528 0.010 0.257 0.020
 8 0.422 0.009 0.411 0.014 0.198 0.024
 9 0.604 0.009 0.422 0.007 0.313 0.020
M13
 1 0.166 0.015 0.262 0.016 0.216 0.014
 2 0.202 0.016 0.234 0.027 0.163 0.017
 3 0.307 0.015 0.416 0.017 0.328 0.020
 4 0.245 0.015 0.339 0.021 0.238 0.013
 5 0.314 0.015 0.409 0.011 0.277 0.016
 6 0.427 0.008 0.456 0.013 0.347 0.013
 7 0.598 0.011 0.531 0.011 0.280 0.025
 8 0.416 0.010 0.402 0.018 0.171 0.021
 9 0.613 0.015 0.416 0.006 0.354 0.018