Estimation of Winter Wheat Protein Content Based on New Indexes

文献类型： 外文期刊

第一作者： Jin Xiu-liang

作者： Jin Xiu-liang;Wang Yan;Jin Xiu-liang;Xu Xin-gang;Li Zhen-hai;Wang Qian;Wang Yan;Li Cun-jun;Wang Ji-hua;Jin Xiu-liang;Xu Xin-gang;Li Zhen-hai;Wang Qian;Wang Yan;Li Cun-jun

作者机构：

关键词： New vegetation index; Protein content; Grey relational method; Partial least squares method

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2013 年 33 卷 9 期

页码：

收录情况： SCI

摘要： Wheat protein content is an important indicator often employed in wheat sale price. Spectral indexes and concurrent winter wheat protein content (WWPC) samples were obtained across three years. Data from 2008/2009 and 2009/2010 were utilized to build the new ratio indexes and product indexes, and then selected grey relational method and partial least squares method were used to improve the estimation accuracy of WWPC, data from 2011/2012 was utilized to validate model The results showed that the correlation coefficients between ratio indexes and WWPC were better than that between single indexes and WWPC. The r of single indexes and ratio indexes were 0.726 and 0.751, respectively, and the product indexes were used to improve the parts of single indexes. The estimation accuracy of WWPC was improved by using GRA-PLS, the determination coefficients (R-2) of single indexes, ratio indexes and product indexes were 0.537, 0.631 and 0.521, respectively, and corresponding root mean square errors (RMSE) were 0.665%, 0.564% and 0.574%, respectively. The results indicated that it was feasible to estimate WWPC by building new ratio indexes and product indexes, and then applying the GRA-PLS.

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