应用近红外光谱技术快速鉴别玉米杂交种纯度的研究

采用近红外光谱分析技术结合定性偏最小二乘法对农大108玉米杂交种的纯度进行了鉴别研究,实验采用农大108杂交种子与母本178种子各100粒进行单粒光谱扫描(建模集与检验集比例为3:1),结果表明:透射孔直径为3 mm 时,所建模型平均鉴别率为99.82%,显著高于透射孔直径为4.5 mm 时所建模型的鉴别率90.96%;采用胚乳面一次光谱、胚面两次平均光谱、胚乳面两次平均光谱和四次平均光谱进行建模,其平均鉴别率筹异不显著,检验集平均鉴别率均达到99%左右,略高于胚面一次光谱;选择透射孔径3.0 mm,4 000～8 000 cm1 光谱范围,种子胚乳面单次光谱所建立的农大108玉米杂交种的种子纯度鉴定模型的建模集和检验集的鉴别率均达到100%.

Rapid and nondestructive discrimination of hybrid maize seed purity using near infrared spectroscopy

Near infrared spectroscopy technology was applied to study rapid and nondestructive discrimination method of hybrid maize seed purity. With NongDa108 hybrid seeds and mother 178 seeds, a discrimination model for the purity of maize single seed was built by near infrared reflectance spectroscopy with distinguished partial least squares (DPLS). A total of 200 seeds including 100 hybrid seeds and 100 mother seeds were divided into two groups: calibration set (150 samples) and validation set (50 samples), and each group had same number of hybrid and mother seeds. To eliminate human errors as much as possible we used two sample cups with transmission hole diameter of 3.0 and 4.5 mm, respectively, at the bottom for spectrum acquisition. The location of sample cups and seeds were fixed during spectrum acquisition process. The result showed that the average identification rate with 3 mm transmission hole diameter was 99.82%, significantly higher than that of 4.5 mm whose average identification rate was just 90.96%. There was no significant difference among the identification rates of one replicate and two replicates spectrum on endosperm face, two replicates spectrum on embryo face and four replicates. The rates of validation set reached about 99%, slightly more than that of one replicate on embryo face. The identification rates of one spectrum and two replicates spectrum on endosperm face in calibration and validation set were 100%, with the spectral region between 4000 and 8000 cm(-1). With 3.0 mm transmission hole diameter and 4000-8000 cm(-1) spectral region, the seed purity identification rates in calibration and validation sets built up by one spectrum on endosperm face were 100%. With the increase in principal components, the identification rates in calibration set and validation set gradually increased, and when principal components reached 9, the rate in both of sets were 100%. The results have important value for rapid and nondestructive testing of hybrid maize seed purity.