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玉米茎杆纤维组分近红外反射光谱模型的建立
Establishment of near-infrared reflectance spectroscopy models of fiber composition in corn stalk
投稿时间:2019-06-13  修订日期:2019-08-02
中文关键词:玉米茎杆  木质素  纤维素  半纤维素  近红外光谱
英文关键词:Corn stalk  Lignin  Cellulose  Hemicellulose  Near infrared spectroscopy
基金项目:山东省现代农业产业技术体系玉米产业创新团队项目(SDAIT-02-01),山东省农业良种工程项目(2017LZGC005)
作者单位E-mail
刘世伟 青岛农业大学 2573870417@qq.com 
裴玉贺 青岛农业大学  
许莹莹   
朱凯丽   
宋希云   
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中文摘要:
      为了更快速、准确地测定玉米茎杆中木质素、纤维素和半纤维素的含量,本研究以200份玉米自交系作为试验材料,利用近红外反射光谱技术(NIRS)建立了三种茎杆组分的近红外光谱模型。结果表明在4017.94~8053.28、4017.94~8067.89和4027.08~8928.20谱区内建立的测定玉米茎杆木质素、纤维素和半纤维素含量的近红外光谱模型效果最好。利用偏最小二乘回归法(PLS)建立校正模型,木质素、纤维素和半纤维素的校正相关系数(RMRSQ)分别为0.9329、0.9251和0.9265,校正标准差(RMSEC)分别为1.57、1.68和1.18;选取30份玉米茎杆样品作为检验集对模型进行验证,木质素、纤维素和半纤维素的外部相关系数(RMRSQ)分别为0.9389、0.8911和0.9050,其预测标准差(RMSEP)分别为1.57、2.14和1.49。同样选取了30份茎秆样品对模型进行交叉验证,其相关系数(1-VR)分别为0.8973、0.9442和0.8918,交叉验证标准差(RMSECV)分别为1.87、2.32和1.43。研究结果表明所建模型质量较好,能快速、准确测量玉米茎杆木质素、纤维素和半纤维素含量,可为玉米抗倒伏育种研究提供技术支持。
英文摘要:
      In order to determine the contents of lignin, cellulose and hemicellulose more rapidly and accurately, the near-infrared reflectance spectroscopy(NIRS) models of fiber composition in corn stalk were constructed with 200 maize inbred lines as experimental materials. The results showed that the NIRS models of lignin, cellulose and hemicellulose content in maize stalk established in the spectral regions of 4017.94~8053.28, 4017.94~8067.89 and 4027.08~8928.20 were the best. The calibration model was established by partial least square regression (PLS), and the corrected correlation coefficients (RMRSQ) of lignin, cellulose and hemicellulose were 0.9329, 0.9251 and 0.9265, and the corrected standard deviation (RMSEC) were 1.57, 1.68 and 1.18, respectively. In order to verify the model, 30 corn stalk samples were selected as test set. The external correlation coefficients (RSQ) of lignin, cellulose and hemicellulose were 0.9389, 0.8911 and 0.9050, respectively, and the prediction standard deviations (SEP) were 1.57, 2.14 and 1.49, respectively. The models were also cross-validated with 30 stalk samples, and the cross-validation correlation coefficients (1-VR) were 0.8973, 0.9442 and 0.8918, respectively, and the standard deviation of cross validation (SECV) ware 1.87, 2.32 and 1.43, respectively. The results showed that the models have good quality and can determine the contents of lignin, cellulose and hemicellulose in corn stalk quickly and accurately, which will provide technical support for corn lodging resistance breeding research.
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