Book a Demo

The Relative Performance of a Benchtop Scanning Monochromator and Handheld Fourier Transform Near/Infrared Reflectance Spectrometer in Predicting Forage Nutritive Value



Advanced manufacturing techniques have enabled low/cost, on/chip spectrometers. Little research exists, however, on their performance relative to the state of technology systems. The present study compares the utility of a benchtop FOSS NIRSystems 6500 (FOSS) to a handheld NeoSpectra/Scanner (NEO) to develop models that predict the composition of dried and ground grass, and alfalfa forages. Mixed/species prediction models were developed for several forage constituents, and performance was assessed using an independent dataset. Prediction models developed with spectra from the FOSS instrument had a standard error of prediction (SEP, % DM) of 1.4, 1.8, 3.3, 1.0, 0.42, and 1.3, for neutral detergent fiber (NDF), true in vitro digestibility (IVTD), neutral detergent fiber digestibility (NDFD), acid detergent fiber (ADF), acid detergent lignin (ADL), and crude protein (CP), respectively. The R2P for these models ranged from 0.90 to 0.97. Models developed with the NEO resulted in an average increase in SEP of 0.14 and an average decrease in R2P of 0.002.

Published in: 
Research Gate
Animal Feed
Date of Publication: 
January 1, 2022
Matthew F. Digman / Jerry H. Cherney /Debbie Cherney
Cornell University / University of Wisconsin Madison
Read the Article

Ready to Streamline analysis processes for your business ?

See NeoSpectra in action and learn how it can enhance your analysis workflows. Complete the form to request a demo and we’ll be glad to guide you through its unique features.

Contact us
No items found.