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. 2022 Oct;1:None. doi: 10.1016/j.focha.2022.100141

Table 1.

Results of partial least-square (PLS) models from multi-spectral imaging data to predict free, bound, and total phenolic content of black (variable purple and purple), red, and white rice diverse lines (n = 385)

Predicted Variables Training (n = 270) Testing (n = 115)
R2 RMSE R2 RMSE
Free Phenolic Content 0.66 0.18 0.73 0.22
Free Flavonoid Content 0.62 0.25 0.51 0.40
Free Anthocyanin Content 0.36 0.58 0.28 0.89
Bound Phenolic Content 0.61 0.55 0.63 0.42
Bound Flavonoid Content 0.73 0.41 0.75 0.51
Bound Anthocyanin Content 0.82 0.32 0.83 0.28
Total Phenolic Content 0.71 0.60 0.79 0.63
Total Flavonoid Content 0.79 0.52 0.80 0.61
Total Anthocyanin Content 0.80 0.51 0.84 0.69