甜菜种子活力的测定——基于近红外高光谱技术

为保证田间甜菜种子的出苗率和生产潜力,需要在种植前对种子进行活力检测,挑选出活力高的甜菜种子进行推广种植。利用高温处理法对甜菜种子进行老化处理,再基于标准正态变换(SNV)、去趋势校正(DET)、Savitzky-Golay平滑处理(SG)、一阶差分(1D)和二阶差分(2D)5种近红外高光谱预处理方法,构建种子活力智能检测模型得出预测的种子发芽率,再利用老化处理后的甜菜种子进行发芽实验得出实际的发芽率。研究发现,甜菜种子经过一阶差分预处理建立的智能检测模型预测性能最好,其预测准确率达到91.92%。将未处理的甜菜种子的实际发芽率与一阶差分预处理法建立的智能模型预测结果进行对比,发现模型的预测准确率为88.2%。近红外高光谱技术是一种快速、无损的作物种子活力测定的新方法。

The Determination of Sugarbeet Seed Vigor: Based on Near Infrared High Spectrum Technology

To guarantee the emergence rate and production potential of sugar beet seed in field, it is necessary to test the seed vigor before planting and select the seed with high vigor for planting. The sugar beet seeds were aged by high temperature treatment, and then the intelligent detection model of seed vigor was constructed based on five near-infrared hyperspectral pretreatment methods: standard normal transformation (SNV), de-trending correction (DET), Savitzky-Golay smoothing (SG), first-order difference (1D) and second-order difference (2D), so as to obtain the predicted seed germination rate. The actual germination rate was obtained by germination test of aged beet seeds. The results show that the intelligent detection model established by the first-order differential pretreatment of sugar beet seeds has the best prediction performance, and its prediction accuracy could reach 91.92%. Comparing the actual germination rate of untreated sugar beet seeds with the prediction results of the intelligent model established by the first-order difference pretreatment method, it is found that the prediction accuracy of the model is 88.2%. It is concluded that the near infrared hyperspectral technology is a new method for rapid and nondestructive determination of crop seed vigor.