云南水稻直链淀粉含量近红外模型的创建研究  

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

作　　者：陈建华[1] 郭咏梅[2] 刘义富[2] 辜琼瑶[2] 谭春艳[2] 刘小丽[2] 卢义宣[2] 

机构地区：[1]云南农业大学农学与生物技术学院,云南昆明650201 [2]云南省农业科学院粮作所,云南昆明650205

出　　处：《云南农业大学学报》2008年第2期141-144,共4页Journal of Yunnan Agricultural University

基　　金：农业部“948”项目(2006-G1);农业科技攻关项目(2006NG03)。

摘　　要：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RM-SECV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。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 coeffi- cient 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%.

关 键 词：近红外光谱 模型构建 直链淀粉含量 云南 水稻 

分 类 号：S511.01[农业科学—作物学]