Estimating nutrient composition and polyphenol concentration using Near-Infrared Spectroscopy (NIRS) in tropical forages

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DOI https://doi.org/10.13057/biodiv/d241227
Issue
Vol. 24 No. 12 (2023)
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Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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HIKMAH A. PARASTIWI
Research Center for Animal Husbandry, National Research and Innovation Agency (BRIN). Jl. Raya Jakarta-Bogor Km 46, Cibinong, Bogor 16911, West Java, Indonesia
NENG SRI H. LESTARI
Department of Nutrition and Feed Technology, Faculty of Animal Science, Institut Pertanian Bogor. Jl. Agatis, Kampus IPB Darmaga, Bogor 16680, West Java, Indonesia
YULIANRI R. YANZA
Department of Biology Education, Faculty of Teacher Training and Education, Universitas Islam Riau. Jl. Kaharuddin Nasution 113, Pekanbaru 28284, Riau, Indonesia
VINCENT NIDERKORN
INRAE, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne. F-63122 Saint-Genès-Champanelle, France
RONI RIDWAN
Research Center for Applied Zoology, National Research and Innovation Agency (BRIN). Jl. Raya Jakarta-Bogor Km 46, Cibinong, Bogor 16911, West Java, Indonesia
ANURAGA JAYANEGARA ♥
Department of Nutrition and Feed Technology, Faculty of Animal Science, Institut Pertanian Bogor. Jl. Agatis, Kampus IPB Darmaga, Bogor 16680, West Java, Indonesia

Abstract

Abstract. Parastiwi HA, Lestari NSH, Yanza YR, Niderkorn V, Ridwan R, Jayanegara A. 2023. Estimating nutrient composition and polyphenol concentration using Near-Infrared Spectroscopy (NIRS) in tropical forages. Biodiversitas 24: 6652-6660. This study aimed to evaluate the accuracy and precision of Near-Infrared spectroscopy (NIRS) in determining nutrient composition and total phenol concentration in tropical forages. A total of 48 tropical forages from 33 species were subjected to measurements using conventional methods and NIRS equipment for rapid determination. The measured variables included Dry Matter (DM), ash, Crude Protein (CP), Ether Extract (EE), Crude Fiber (CF), and Total Phenolic (TP). The values obtained from NIRS were then statistically evaluated to obtain their coefficient of determination (R2), Standard Error (SE), and Root Mean Square Error (RMSE). Each tropical forage was assessed with three scanning repetitions, where two were conducted to calibrate NIRS determination, and another was performed to validate the NIRS results. All values obtained from the measured samples using both methods in this study were statistically analyzed through Partial Least Square (PLS) regression model. The results showed that the accuracy of NIRS for estimating nutrient content and total phenolic among different tropical forages was varied. NIRS was precise and accurate for estimating crude protein and total phenolic contents of tropical forages but showed lower accuracy for estimating EE content.

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