摘要
结合酶法测定了104份甜玉米种质总多糖和淀粉的含量,利用近红外光谱分析仪采集了相应的光谱信息,分别建立了甜玉米完整种子的总多糖和淀粉含量的近红外光谱定标模型。结果表明:最优光谱处理方式总多糖的为标准正常化+去散射处理,淀粉的为标准多元散射校正;最优的导数处理总多糖的为3阶导数,淀粉的为2阶导数。总多糖和淀粉定标模型的交互验证相关系数分别为0.680和0.734,交互验证标准偏差分别为2.537和2.406;外部验证集总多糖和淀粉的预测相关系数分别为0.834和0.783,说明所建立的总多糖和淀粉的预测模型具有较好的预测性,可应用于甜玉米种质资源筛选。
In this study, combined with total polysaccharide and starch content of 104 sweet corn germplasms measured by enzyme method, near infrared spectral calibration models for the total polysaccharide and starch content of complete sweet corn seeds were established using spectral information collected by near infrared spectrum. The results showed that the optimal spectral treatment of total polysaccharide was Standard Normalized plus Detrend and starch was Standard Multivariate Scatter Correction. The optimal derivative treatment of total polysaccharide was the 3 rd derivative, and starch was the 2 nd derivative. The correlation coefficients of calibration model of total polysaccharide and starch were 0.680 and 0.734, respectively. The standard deviations of interaction validation of total polysaccharide and starch were 2.537 and 2.406, respectively. The correlation coefficients of external sample set for verification of total polysaccharide and starch were 0.834 and 0.783, respectively. These results indicated that the model of total polysaccharide and starch had better predictability and could be applied to the selection of sweet corn germplasm resources.
引文
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