Abstract:The mathematic models for the prediction of fatty acid content of wheat were established with the technique of near infrared spectroscopy (NIRS). The result showed that the coefficient of correlation (RSQ) was of 0.9026 and the standard error of calibration (SEC) of 3.8735. The determination coefficient of cross-validation (1-VR) was of 0.6278 and the standard error of cross-validation (SECV) was of 7.0980. Regression squared (r) was of 0.948 and square error of prediction (SEP) was of 3.8709. The t test value between the chemical standard methods and NIRS method was 1.345 suggesting no significant difference between these two methods. The absolute average deviation was 0.25. This NIRS method could be applied to predict the fatty acid content in wheat.
