探索使用近红外反射和透射光谱法(波长范围908.1~1 677.2 nm)鉴定玉米杂交种纯度, 并对两种方法进行比较。 对光谱进行一阶导数、 矢量归一化的预处理后, 使用主成分分析(PCA)和正交线性判别分析(OLDA)提取光谱特征, 使用支持向量机(SVM)分别建立两个玉米品种(农华101和京玉16)的种子纯度鉴定模型。 反射近红外光谱建立的农华101和京玉16的正确鉴定率分别为100%和90%。 但反射光谱法受种子摆放位置的影响很大, 胚面和非胚面光谱有较大差异。 透射光谱法建立的京玉16和农华101纯度鉴定模型的正确鉴定率均为98%, 胚面和非胚面的光谱相似度很高。 结果表明, 利用近红外反射和透射光谱法鉴定玉米杂交种纯度是可行的; 透射光谱法更适于分析单籽粒玉米种子。

This article explore the feasibility of using Near Infrared Reflectance (NIR) and Transmittance (NIT) Spectroscopy (908.1~1 677.2 nm wavelength range) to identify maize hybrid purity, and compare the performance of NIR and NIT spectroscopy. Principle Component Analysis (PCA) and Orthogonal Linear Discriminant Analysis (OLDA ) were used to reduce the dimension of spectra which have been pretreated by first derivative and vector normalization. The hybrid purity identification model of Nonghua101 and Jingyu16 were built by SVM. Models based on NIR spectra obtained correct identification rate as 100% and 90% for Nonghua101 and Jingyu16 respectively. But NIR spectra were greatly influenced by the placement of seeds, and there existed significant difference between NIR spectra of embryo and non-embryo side. Models based on NIT spectroscopy yielded correct identification rate as 98% both for Nonghua101 and Jingyu16. NIT spectra of embryo and non-embryo side were highly similar. The results indicate that it is feasible to identify maize hybrid purity based on NIR and NIT spectroscopy, and NIT spectroscopy is more suitable to analyze single seed kernel than NIR spectroscopy.