欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志

• 方法与技术 • 上一篇    下一篇

基于近红外光谱的冬小麦籽粒蛋白质含量检测

张松,冯美臣,杨武德*,王超,孙慧,贾学勤,武改红   

  1. (山西农业大学农学院, 山西太谷 030801)
  • 出版日期:2018-04-10 发布日期:2018-04-10

Detection of grain protein content in winter wheat based on near infrared spectroscopy.

ZHANG Song, FENG Mei-chen, YANG Wu-de*, WANG Chao, SUN Hui, JIA Xue-qin, WU Gai-hong   

  1. (College of Agronomy, Shanxi Agricultural University, Taigu 030801, Shanxi, China).
  • Online:2018-04-10 Published:2018-04-10

摘要: 冬小麦籽粒蛋白质含量(GPC)是评价冬小麦品质的主要指标,为了研究不同建模方法对GPC检测的影响,本研究对冬小麦籽粒的近红外原始光谱进行S-G平滑、基线校正和多元散射校正等预处理,利用连续投影算法(SPA)提取冬小麦GPC的重要光谱波段,并结合偏最小二乘回归(PLSR)、主成分回归(PCR)、支持向量机(SVM)和多元线性回归(MLR)建立GPC的光谱预测模型,并综合比较模型的适用性。结果表明:经过SPA提取的特征波段为1801、1010、1109、2284、2219、2239、871、1361、1925、1849和1456 nm;模型评价方面,利用特征波段建立的SVM模型效果较好,其中校正均方根误差(RMSEC)和R2分别为0.2481和0.9760,验证均方根误差(RMSEP)和R2分别为0.3587和0.9581。研究表明,SPA+SVM预测模型在一定程度上能够实现冬小麦籽粒蛋白质的快速、无损检测。

关键词: 土壤微生物生物量氮, 施肥管理, 水稻, 土壤微生物熵, 土壤微生物生物量碳

Abstract: Grain protein content (GPC) is a major index for evaluating the quality of winter wheat. To assess the influences of calibrated methods on the detection of GPC in winter wheat by using near infrared spectroscopy, original spectra reflectance was firstly pre-processed with S-G smoothing, baseline correction, and multiple scattering correction. The successive projectionalgorithm (SPA) method was used to extract the important spectral bands of grain GPC in winter wheat. Multivariate statistical methods of partial leastsquares regression (PLSR), principalcomponent regression (PCR), support vector machine (SVM), and multivariable linear regression (MLR) were used to establish a spectral prediction model of GPC, and the model accuracy was evaluated. The following wavelengths extracted by the SPA method were highly related to the GPC: 1801, 1010, 1109, 2219, 2239, 871, 1361, 2284, 1925, 1849 and 1456 nm. Wecompared the performance of models established with different multivariate methods. The results showed that the model of GPC constructed with SVM+SPA outperformed other calibrated models withR2=0.9760 and 0.9581, RMSE=0.2481 and 0.3587 for calibrating model and validated model, respectively. Our results indicated that the combination of SPA and SVM method might be a fast and non-destructive one to measure the grain protein of winter wheat.

Key words: soil microbial biomass nitrogen, rice, soil microbial biomass carbon, fertilizer management, soil microbial quotient