Research Article
A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition
Table 6
The performance of the BP-ANN model for prediction of nutrient contents in whole plant corn silage.
| Nutrition index | Factors | Calibration set | Prediction set | R2c | RMSEC | R2p | RMSEP |
| DM | 20 | 0.900 | 0.550 | 0.845 | 0.642 | CP | 20 | 0.945 | 0.293 | 0.927 | 0.519 | EE | 20 | 0.886 | 0.420 | 0.853 | 0.579 | Ash | 20 | 0.902 | 0.806 | 0.847 | 0.792 | NDF | 20 | 0.965 | 0.650 | 0.935 | 0.627 | ADF | 20 | 0.991 | 0.667 | 0.975 | 0.993 | Starch | 20 | 0.972 | 0.763 | 0.944 | 0.761 | Ca | 20 | 0.730 | 0.806 | 0.509 | 0.792 | | 20 | 0.615 | 0.806 | 0.453 | 0.792 |
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1Factors: the optimal number of factors used in the BP-ANN model.
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