云南水稻直链淀粉含量近红外模型的创建研究*

 收集云南有代表性的水稻品种（系）210份，用常规法测定直链淀粉含量，采用偏最小二乘（PLS）法建立直链淀粉含量近红外光谱分析预测的校正模型，并对模型进行了预测准确性评价。结果表明AAC的模型校正决定系数Rc²为 0.962 2 ；校正标准差RMSEE为1.329；内部交叉检验的决定系数Rcv²为 0.925 6 ，标准差RMSECV为1.320。模型的检验相关系数达到90％以上，对云南水稻品质育种及种子资源相关研究具有实用价值。

Establishment of Near Infrared Reflectance Spectroscopy Model for Apparent Amylose Content of Rice in Yunnan

Using 201 representative rice samples from Yunnan province,the apparent amylose content(AAC) was measured by normal method and the chemo-metrical method of partial least square(PLS) regression was used to establish the calibration model.The result indicated that the determination coefficient of calibration(Rc2) of the model was 0.962 2 and the root mean square error of calibration(RMSEE) was 1.329.The veracity of the model was estimated by the determination coefficients(Rcv2) and the root mean square errors of cross-validation(RMSECV).The Rcv2 of NIRS model for AAC profile parameters of brown rice was 0.925 6 and the RMSECV was 1.32.It was indicated that the model was veracious and useful for rice breeding and about seed resource,for the model reached 90%.