@article{article_724124, title={Estimating Roughage Quality with Near Infrared Reflectance (NIR) Spectroscopy and Chemometric Techniques}, journal={Kocatepe Veterinary Journal}, volume={13}, pages={234–240}, year={2020}, DOI={10.30607/kvj.724124}, author={Atalay, Hasan and Kahrıman, Fatih}, keywords={Near-İnfrared Reflectance (NIR), Wavelength Selection, Roughage quality, Chemometrics}, abstract={Near-Infrared Spectroscopy has been commonly adopted in feed quality evaluations. The majority of studies have been performed on the detection of fibrous components with the help of NIR. Model development studies are not yet common for different roughage quality characteristics such as Relative Forage Value (RFV), Relative Forage Quality (RFQ), and Net Energy Lactation (NEL), which are used in the evaluation of roughage quality. The purpose of this study is the detection of RFV, RFQ, and NEL values with NIR spectroscopy in different roughage samples, and to investigate the effect of wavelength selection on the model’s success. In this study, spectral data belonging to silage, dry alfalfa, dry oat, and wheat straw samples and laboratory analysis results were used to develop estimation models according to the partial least square regression (PLSR) method. A variable importance projection (VIP) method was used as the wavelength selection method. Estimation models, which were developed according to study results, were obtained from the VIP-PLS model combination (RMSE=12.7, Bias=0.000, R2=0.804, RPD=2.28) for RFV. VIP method has increased the estimation of success for all variables. Based on the study results, it was recognized that it is possible to use NIR in the calculations used in roughages quality evaluation parameters.}, number={3}, publisher={Afyon Kocatepe University}