Using NIRS To Predict Fiber and Nutrient Content of Dryland Cereal Cultivars

Residue from cultivars of spring wheat (Triticum aestivum L.), winter wheat, and spring barley (Hordeum vulgare L.) was characterized for fiber and nutrient traits using reference methods and near-infrared spectroscopy (NIRS). Calibration models were developed for neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), carbon (C), sulfur (S), nitrogen (N), and C:N. When calibrations were tested against validation sets for each crop year, NIRS was an acceptable method for predicting NDF (standard error of prediction (SEP) < 0.87; R-2 > 0.90) and ADF (SEP < 0.81; R-2 > 0.92) and moderately successful for ADL in 1 year of the study (SEP = 0.44; R-2 = 0.81) but less successful for C, S, N, and CA (R-2 all <0.57). These results indicate that NIRS can predict the NDF and ADF of cereal residue from dryland cropping systems and is a useful tool to estimate residue decomposition potential.