农业部农作物种质资源保护项目;国家科技基础条件平台项目;河北省农科院特色优势项目
:快速准确无损测定种子生活力是种质资源安全保存研究中的一项重要内容。采用傅立叶变换近红外漫反射光谱技术,结合偏最小二乘法,以保存不同年限的黄色大豆品种资源的种子为样品,建立其生活力的无破坏性测定数学模型,同时对不同光谱预处理方法和不同建模波段范围对模型的预测性能进行对比分析。结果表明:原始光谱在4000~10000nm全波段的模型预测精度较高。经Savitzky-Golay二介导数和标准化预处理后,生活力的PLS模型最好,校正集样品的相关系数为0.937,预测集样品的相关系数为0.902,RMSEC和RMSEP分别为2.190和2.684。可见模型预测的准确性接近常规发芽方法,能够满足种质资源快速、非破坏性活力检测的要求,为今后快速无损测定种子生活力提供了理论依据。
Fast, accurate and non-destructive identification of seed viability is a critical factor in the safe preservation of germplasm resources. In this paper, we have used yellow soybeans of different preservation period as samples, and established a mathematical model of non-destructive determination for its viability by employing Fourier transform near-infrared spectroscopy (FT-NIRS) in combination with partial least squares (PLS). Simultaneously, we have compared and analyzed the prediction performance of the model by using different spectral-pretreatment methods and different band ranges. Results indicate that the model has higher prediction accuracy in 4000~10000nm full-band range. After preprocessing these spectra data with Savitzky Golay second derivative and standardized pretreatment, we’ve found that the PLS model is the best for viability non-destructive determination. The correlation coefficient of calibration set samples is 0.937, and the correlation coefficient of prediction set samples is 0.902. RMSEC and RMSEP are 2.190 and 2.684 respectively. Therefore, the prediction accuracy of the model is close to that of normal germination method, and can meet the requirement in rapid non-destructive identification of seed viability, which provides theoretical basis for rapid non-destructive determination of seed vigor in the future.
耿立格,宋春风,王丽娜,等.近红外光谱无损测定大豆种子生活力方法研究[J].植物遗传资源学报,2013,14(6):1208-1212.
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