棉籽油分含量近红外无损检测分析模型与应用  

Establishment and Application of Model for Determining Oil Content of Cottonseed Using Near Infrared Spectroscopy

作　　者：商连光[1] 李军会[2] 王玉美[3] 李玉华[1] 王丹[1] 熊敏[1] 华金平[1] 

机构地区：[1]中国农业大学农学与生物技术学院植物遗传育种系/作物杂种优势与利用教育部重点实验室/作物遗传改良北京市重点实验室,北京100193 [2]中国农业大学信息与电气工程学院电子工程系,北京100083 [3]湖北省农业科学院经济作物研究所,湖北武汉430064

出　　处：《光谱学与光谱分析》2015年第3期609-612,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(31371666)资助

摘　　要：棉花是一种重要的油料作物。建立快速、无损检测棉花种子含油量的方法,对于棉花油分育种工作中的材料鉴定、筛选具有重要意义。利用近红外光谱仪采集118份不同油分含量棉花种籽的近红外漫反射光谱,结合化学方法测定验证,建立了棉籽油分含量快速无损检测的近红外模型。光谱预处理方法采用一阶导数+多元散射校正(MSC),光谱范围5 446~8 848 cm^(-1),主成分维数为5,以基本覆盖陆地棉棉籽含油量范围的106份试验材料为校正样品集,利用偏最小二乘法(PLS)建立了棉籽仁油分含量近红外反射光谱(NIR)校正模型。校正模型决定系数R^2=0.975,校正标准差SEC=0.67。用外部验证样品集进行外部验证,对所建模型的实际预测能力进行检验。结果表明,油分含量预测值与化学值相关系数r=0.978,预测结果误差范围0.1%~1.7%,建立的模型具有很好的预测性。利用建立的模型对784份育种材料进行了油分含量预测,结果显示,该模型应用可以加快棉花育种材料的油分鉴定。Cotton is one of the important oil crops,and it is great significance for screening and identification of breeding materi-als to establish a method of the rapid,nondestructive testing of cotton seed oil content.In this study,near-infrared diffuse re-flection spectroscopy of 118 high and low oil materials were adopted to establish models for fast nondestructive determining oil content of cottonseed using near infrared spectroscopy （NIR）.One hundred and six cottonseed samples as calibration set that covered the range of seed oil content for upland cotton were used in this experiment.The spectral data of cottonseed were pro-cessed using the first derivative and multiplicative scatter correction （MSC）.The correction NIR model of oil content was built based on partial least squares （PLS）method with the spectral regions 5 446~8 848 cm-1 and main components （5）.The deter-mination coefficient （R 2 ）of calibration model was 0.975,standard error of calibration （SEC）was 0.67.The authors test the model’s actual ability to predict using external validation set.The correlation coefficient （r）of predicted values and the chemis-try value was 0.978,the range of prediction error was 0.1%~1.7%.The model established has good predictability.The oil content of 784 breeding stocks were predicted by NIR model,statistical analysis of predictable results elucidated that the NIR model of oil content developed can be well applied to selective breeding and oil related study in cotton.

关 键 词：棉花 近红外光谱 棉籽 油分 

分 类 号：S562[农业科学—作物学]