Table 3.
Calibration and validation statistics of the best models obtained to predict the midday stem water potential (ψs) in grapevines under field conditions from on-the-go NIR spectroscopy at the sub-replicate unit, and field replicate scales.
Modeling variables and scale | Calibrationa | Cross validationa | Predictionc | |||||||
---|---|---|---|---|---|---|---|---|---|---|
10-fold | LODOb | |||||||||
Season | Canopy side | Spectral treatment | RMSE | CV-RMSE | CV-RMSE | RMSE | ||||
Sub Replicate Unit | ||||||||||
East | SNV+D1W15 | 0.156 | 0.86 | 0.171 | 0.83 | 0.192 | 0.77 | 0.151 | 0.86 | |
West | SNV+D1W15 | 0.195 | 0.78 | 0.214 | 0.73 | 0.251 | 0.71 | 0.188 | 0.78 | |
East & West | SNV+D1W7 | 0.168 | 0.83 | 0.190 | 0.79 | 0.253 | 0.72 | 0.173 | 0.81 | |
Field Replicate | ||||||||||
2015 | East | D1W15 | 0.173 | 0.90 | 0.171 | 0.82 | 0.203 | 0.79 | 0.150 | 0.85 |
West | SNV+D1W15 | 0.160 | 0.85 | 0.207 | 0.74 | 0.222 | 0.82 | 0.194 | 0.74 | |
East & West | D1W7 | 0.132 | 0.89 | 0.189 | 0.79 | 0.230 | 0.81 | 0.167 | 0.84 | |
Sub Replicate Unit | ||||||||||
2016 | East | SNV+D1W15 | 0.103 | 0.79 | 0.119 | 0.71 | – | – | 0.132 | 0.68 |
West | D1W7 | 0.111 | 0.77 | 0.131 | 0.68 | – | – | 0.131 | 0.54 | |
East & West | D1W7 | 0.106 | 0.78 | 0.128 | 0.68 | – | – | 0.133 | 0.62 | |
Sub Replicate Unit | ||||||||||
2015 & 2016 | East | SNV+D1W15 | 0.178 | 0.74 | 0.187 | 0.71 | 0.227 | 0.59 | 0.191 | 0.69 |
Number of samples (n) used for the development of calibration and cross validation (10-fold) models. Season 2015: 234 for East and East & West, and 238 for West models at the sub replicate unit scale. At the field replicate level, 84 data were used for East and 86 for West, and East & West models. Season 2016: 165 samples for East, West and East &West models. Seasons 2015 & 2016: 384 samples.
Number of samples (n) used for the development of cross validation models using the LODO approach. Season 2015: 318 for East and East and East & West, and 324 for West models at the sub replicate unit scale. At the field replicate level, 102 data were used for East and 104 for West, and East & West models. Seasons 2015 & 2016: 496 samples.
Number of samples (n) used for prediction or external validation. Season 2015: 54 for all canopy side models at the sub replicate unit scale, and 18 at the field replicate level. Season 2016: 43 samples for East, West and East &West models. Seasons 2015 & 2016: 97 samples.
SNV, standard normal variate; DnWm, Savitzky-Golay filter with n-degree derivative, window size of m; RMSE, root mean square error (MPa); , determination coefficient of calibration; CV-RMSE, root mean square error of cross-validation (MPa); , determination coefficient of cross-validation; , determination coefficient of prediction; 10-fold, 10-fold venetian blind cross validation; LODO, leave one day out cross validation.