A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition

Table 5

Performance of the PLSR model for prediction of nutrient contents in whole plant corn silage.

Nutrition index	Factors	Calibration set		Prediction set
		R^2c	RMSEC	R^2p	RMSEP
DM	12	0.836	0.675	0.823	0.701
CP	11	0.903	0.407	0.900	0.418
EE	13	0.788	0.261	0.763	0.276
Ash	14	0.795	0.543	0.779	0.564
NDF	13	0.921	1.756	0.916	1.813
ADF	13	0.910	1.281	0.904	1.321
Starch	13	0.933	1.952	0.929	2.004
Ca	7	0.418	0.0615	0.376	0.064
	10	0.499	0.029	0.477	0.030

¹Factors: the optimal number of factors used in the PLSR model.