Table 2 Balanced distribution of NIR spectra used for each rice genotype across nitrogen treatments. The table outlines the allocation of spectra for each PCA-LDA model (Model 1, model 2, and model 3), ensuring equal representation across training (TR, n = 90), cross-validation (CV, n = 30), and test (TE, n = 60) sets. Spectra were evenly distributed among three individual plants (P1, P2, and P3) within each dataset split, maintaining a balanced representation across nitrogen treatments.
Day | Model | Process | Plant | Nitrogen treatment | |||||
|---|---|---|---|---|---|---|---|---|---|
0% | 25% | 50% | 75% | 100% | Total spectra | ||||
1 | 1 | TR (n=90) | P1 | 9 | 9 | 9 | 9 | 9 | 45 |
P2 | 9 | 9 | 9 | 9 | 9 | 45 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
CV (n=30) | P1 | 3 | 3 | 3 | 3 | 3 | 15 | ||
P2 | 3 | 3 | 3 | 3 | 3 | 15 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
TE (n=60) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 12 | 12 | 12 | 12 | 12 | 60 | |||
2 | TR (n=90) | P1 | 9 | 9 | 9 | 9 | 9 | 45 | |
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 9 | 9 | 9 | 9 | 9 | 45 | |||
CV (n=30) | P1 | 3 | 3 | 3 | 3 | 3 | 15 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 3 | 3 | 3 | 3 | 3 | 15 | |||
TE (n=60) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 12 | 12 | 12 | 12 | 12 | 60 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
3 | TR (n=90) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | |
P2 | 9 | 9 | 9 | 9 | 9 | 45 | |||
P3 | 9 | 9 | 9 | 9 | 9 | 45 | |||
CV (n=30) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 3 | 3 | 3 | 3 | 3 | 15 | |||
P3 | 3 | 3 | 3 | 3 | 3 | 15 | |||
TE (n=60) | P1 | 12 | 12 | 12 | 12 | 12 | 60 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
2 | 1 | TR (n=90) | P1 | 9 | 9 | 9 | 9 | 9 | 45 |
P2 | 9 | 9 | 9 | 9 | 9 | 45 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
CV (n=30) | P1 | 3 | 3 | 3 | 3 | 3 | 15 | ||
P2 | 3 | 3 | 3 | 3 | 3 | 15 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
TE (n=60) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 12 | 12 | 12 | 12 | 12 | 60 | |||
2 | TR (n=90) | P1 | 9 | 9 | 9 | 9 | 9 | 45 | |
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 9 | 9 | 9 | 9 | 9 | 45 | |||
CV (n=30) | P1 | 3 | 3 | 3 | 3 | 3 | 15 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 3 | 3 | 3 | 3 | 3 | 15 | |||
TE (n=60) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 12 | 12 | 12 | 12 | 12 | 60 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
3 | TR (n=90) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | |
P2 | 9 | 9 | 9 | 9 | 9 | 45 | |||
P3 | 9 | 9 | 9 | 9 | 9 | 45 | |||
CV (n=30) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 3 | 3 | 3 | 3 | 3 | 15 | |||
P3 | 3 | 3 | 3 | 3 | 3 | 15 | |||
TE (n=60) | P1 | 12 | 12 | 12 | 12 | 12 | 60 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
3 | 1 | TR (n=90) | P1 | 9 | 9 | 9 | 9 | 9 | 45 |
P2 | 9 | 9 | 9 | 9 | 9 | 45 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
CV (n=30) | P1 | 3 | 3 | 3 | 3 | 3 | 15 | ||
P2 | 3 | 3 | 3 | 3 | 3 | 15 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
TE (n=60) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 12 | 12 | 12 | 12 | 12 | 60 | |||
2 | TR (n=90) | P1 | 9 | 9 | 9 | 9 | 9 | 45 | |
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 9 | 9 | 9 | 9 | 9 | 45 | |||
CV (n=30) | P1 | 3 | 3 | 3 | 3 | 3 | 15 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 3 | 3 | 3 | 3 | 3 | 15 | |||
TE (n=60) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 12 | 12 | 12 | 12 | 12 | 60 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
3 | TR (n=90) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | |
P2 | 9 | 9 | 9 | 9 | 9 | 45 | |||
P3 | 9 | 9 | 9 | 9 | 9 | 45 | |||
CV (n=30) | P1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
P2 | 3 | 3 | 3 | 3 | 3 | 15 | |||
P3 | 3 | 3 | 3 | 3 | 3 | 15 | |||
TE (n=60) | P1 | 12 | 12 | 12 | 12 | 12 | 60 | ||
P2 | 0 | 0 | 0 | 0 | 0 | 0 | |||
P3 | 0 | 0 | 0 | 0 | 0 | 0 | |||
