Research on Optimization of Wheat Seed Germination Rate NIR Model Based on Si-cPLS

文献类型： 外文期刊

第一作者： Wu Jing-Zhu

作者： Wu Jing-Zhu;Dong Wen-Fei;Dong Jing-Jing;Chen Yan;Mao Wen-Hua;Liu Cui-Ling;Wu Jing-Zhu;Mao Wen-Hua

作者机构：

关键词： Near infrared spectroscopy;Characteristic spectrum;Consensus modeling;Germination rate

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： 2017 年 37 卷 4 期

页码：

收录情况： SCI

摘要： To improve the detecting accuracy and robustness of wheat seed germination rate with near infrared spectroscopy technique, single PLS model and consensus PLS model(cPLS) developed on the full-spectral were compared and analyzed, thus, the Si-cPLS model which developed on the characteristic spectral regions was put forward. There were 84 samples partitioned into 66 training samples and 18 prediction samples using SPXY method. By randomly selecting 50 samples from training set as calibration set, a series of sub PLS models were build. 100 PLS sub models satisfying predefined criterion were selected and combined one cPLS model by averaging all predicted results. With this basis Si-cPLS model were developed on characteristic spectral regions selected with synergy interval method. Statistics on 50 repeat prediction of wheat seed germination by full-spectral PLS model, full-spectral cPLS model, and Si-cPLS model showed that, the mean correlation coefficient(R) were 0. 901, 0. 922 and 0. 936 respectively, the mean RMSEP were 13. 735%, 12. 533% and 10. 273% respectively with standard deviation of RMSEP of 1. 144%, 0. 096% and 0. 080% respectively. Results showed that cPLS model was more stable and reliable than single PLS model, While Si-cPLS could further increase the stability and prediction accuracy of cPLS model.

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