Table 6 Statistics of regression models (EWM)

From: High-resolution spectral information enables phenotyping of leaf epicuticular wax in wheat

		Spectral band in nanometers								RMSE	R²
EWM-1	Intercept	424								0.49	0.33
	0.46	52
EWM-2	Intercept	658	721							0.50	0.45
	0.31	90.3	− 3.88
EWM-3	Intercept	712	721	775	817					0.51	0.58
	0.71	160.7	− 183.1	− 33.7	80.2
EWM-4	Intercept	658	712	721	775	817				0.51	0.60
	0.19	40.8	109.6	− 128.4	− 65.8	99.1
EWM-5	Intercept	574	658	712	721	775	817			0.51	0.61
	-0.22	17.3	16.9	82.9	− 109.1	− 122.2	153.4
EWM-6	Intercept	424	574	658	712	721	775	817		0.52	0.66
	1.13	− 76.4	1.9	134.7	76.4	− 109.9	− 45.1	78.1
EWM-7	Intercept	424	547	574	658	712	721	775	817	0.52	0.71
	− 3.1	− 73.5	58.9	− 82.7	146.9	89.6	− 188.8	− 91.6	134.3

The coefficient of determination (R²) and the C(p) were calculated in the training set, while the root mean square error (RMSE) was estimated in the validation set. The multivariate models were significant at 5% of probability or less
Bold values indicate the parameters of the statistical model: intercept and wavelength range in nanometers (nm)

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ISSN: 1746-4811

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