| Issue |
BIO Web Conf.
Volume 207, 2025
The 3rd International Conference on Animal Research for Eco-Friendly Livestock Industry (3rd ICARELI 2025)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Eco-Friendly Animal Feed Resources, Nutrition, Forage and Pasture | |
| DOI | https://doi.org/10.1051/bioconf/202520701007 | |
| Published online | 24 December 2025 | |
A Near-infrared spectroscopy (NIRS) calibration for predicting nutrient quality in processed unconventional feedstuffs
1 Department of Animal Science, Faculty of Agriculture, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
2 Research Center for Innovation and Feed Technology, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
3 Department of Agricultural Engineering, Faculty of Agriculture, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
4 Computer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, Myrina 81400, Greece
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
The objective of this study was to develop NIRS calibrations to predict the quality of unconventional feedstuffs, focusing on crude fiber, crude protein, extract ether, and ash content. A total of 30 samples obtained from the fermentation process of citronella residues were used to create calibrated datasets. NIR spectra were measured using a BUCHI NIRFlex N-500 spectrometer, and a calibration model was developed with Unscrambler X 10.4 software, using Partial Component Regression (PCR). Cross-validation was utilised to optimise the model and prevent overfitting. Furthermore, Multiplicative Scatter Correction (MSC) and De-Trending (DT) techniques were employed to enhance the accuracy of the model. The results of the study indicated that the PCR model, utilising corrected spectra, yielded the most precise predictions. The model for ash content demonstrated a high degree of accuracy (R2 = 0.88; RPD = 3.06), while the predictions of crude protein were deemed adequate (R2 = 0.74; RPD = 2.03). However, predictions for crude fibre (R2 = 0.55; RPD = 1.54) were approximate, and those for extract ether (R2 = 0.41; RPD = 1.34) were less reliable. In conclusion, NIRS with proper preprocessing proves to be a reliable alternative to chemical tests for analyzing the quality of unconventional feedstuffs.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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