Estimating nutrient composition and polyphenol concentration using Near-Infrared Spectroscopy (NIRS) in tropical forages
Résumé
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 (R 2), 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.
Mots clés
Estimation
NIRS
nutrient composition
polyphenols
tropical forages CP: Crude Protein CF: Crude Fiber DM: Dry Matter EE: Ether Extract TP: Total Phenols n.d.: not determined NIRS: Near Infrared Spectroscopy R 2 : Coefficient of determination SE: Standard Error RMSE: Root Mean Square Error St. dev: Standard deviation
tropical forages CP: Crude Protein
CF: Crude Fiber
DM: Dry Matter
EE: Ether Extract
TP: Total Phenols
n.d.: not determined
NIRS: Near Infrared Spectroscopy
R 2 : Coefficient of determination
SE: Standard Error
RMSE: Root Mean Square Error
St. dev: Standard deviation