A PLS model for amylose content in brown rice and NIR spectral data was created using NIR technique. The coefficient of determination for cross validation amounted to 0.8429, maximum absolute error and average absolute error were 4.82% and 2.30%, respectively. The results indicated that FT-NIRS technique could be applied to screen rice germplasm resources effectively.