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Table 1 Summary statistics for PLSR calibration models for chemical components

From: An NIRS-based assay of chemical composition and biomass digestibility for rapid selection of Jerusalem artichoke clones

Parameter

N

Full spectra

CARS-optimized spectra

RF-optimized spectra

RMSEC

R 2 C

RMSECV

R 2 CV

RMSEC

R 2 C

RMSECV

R 2 CV

RMSEC

R 2 C

RMSECV

R 2 CV

Soluble sugars

40

2.14

0.90

2.78

0.81

0.88

0.95

1.98

0.91

1.63

0.95

2.07

0.90

Cellulose

45

0.70

0.93

0.96

0.86

0.47

0.96

0.71

0.93

0.74

0.94

0.89

0.89

Hemicellulose

45

0.20

0.96

0.46

0.93

0.27

0.97

0.41

0.95

0.24

0.98

0.32

0.97

Lignin

45

0.48

0.88

0.87

0.77

0.49

0.92

0.71

0.85

0.42

0.95

0.56

0.92

Ash

45

0.29

0.79

0.44

0.63

0.27

0.85

0.38

0.72

0.23

0.92

0.27

0.86

  1. N number of samples, CARS competitive adaptive reweighted sampling, RF random frog, RMSEC root mean standard error of calibration, R2C coefficient determination of calibration, RMSECV root mean standard error of cross-validation, R2CV coefficient determination of cross-validation