Abstract:

Near-infrared reflectance spectroscopy (NIRS) model of seeds protein content of peanut landraces in Hebei Province, which was developed by means of partial least-squares (PLS) regression. The results showed that the model developed by the spectral data pretreatment of the first derivative + standard normalized variety was the best one. The determination coefficients (R2) of calibration and validation sets were 0.9245 and 0.9018, the standard error of calibration and prediction were 0.3601 and 0.4153, respectively. This model was used to predict the protein content of 16 peanut varieties, and it had a high ability of prediction, which showed that it was feasible to be used in determination of seeds protein content of peanut varieties.