150 near infrared spectrum of rice which obtained from southern China were collected. Com-bined with partial least square (PLS)regression method,the quantitative analysis models of rice mois-ture,protein,amylose,and gel consistency were established and verified by 30 predication sets. The co-efficient of determination (R2 )and the root - mean - square error of cross - validation (RMSECV)of the moisture,amylose,protein and gel consistency models were 0. 990 3 and 0. 372 8%,0. 560 3 and 1. 456 9%,0. 913 2 and 0. 305 4%,and 0. 678 0 and 5. 031 5%,respectively;standard error of pre-diction (RMSEP)were 0. 382 5%,1. 465 0%,0. 510 0% and 5. 052 1%,respectively. The results in-dicated that near - infrared analysis method can meet the demand of rapid determination.%采集150份有代表性的我国南方地区稻谷样品的近红外光谱，用偏最小二回归分析法（PLS），建立了稻谷的水分、直链淀粉、蛋白以及胶稠度的近红外定量分析模型，并对30份预测集样品进行了验证。水分、直链淀粉、蛋白以及胶稠度的校正集模型的决定系数所（ R2）分别为0．9903、0．5603、0．9132以及0．6780，交互验证均方根误差（RMSECV）分别为0．3728％、1．4569％、0．3054％以及5．0315％；验证集标准预测偏差（RMSEP）分别为0．3825％、1．4650％、0．5100％以及5．0521％。结果表明，近红外光谱分析法可以满足快速分析的要求。
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