菊苣(Cichorium intybus L.)是一种新型的高产优质饲用牧草, 具有极大的推广利用价值。体外干物质消化率(in vitro dry matter digestibility, IVDMD)是评价饲草营养价值的重要指标之一。建立菊苣体外干物质消化率的NIRS定量分析模型的研究, 采集了72个品种、 不同基因型、 不同生长发育时期的204个菊苣地上部分为样品, 应用傅里叶变换近红外漫反射光谱技术, 通过采用不同的回归算法, 比较不同的光谱范围和光谱预处理方法, 建立了8个菊苣体外干物质消化率(IVDMD)的近红外漫反射光谱校正模型, 从中选出最佳参数的校正模型。其校正决定系数(R2cal)和外部验证决定系数(R2val)分别为0.953 17和0.904 55, 校正标准差(RMSEC)和预测标准差(RMSEP)分别为1.977 99%和2.008 82%, 预测值与化学值间的相关系数(r)达0.951 08。结果表明, 利用近红外漫反射光谱法来测定菊苣体外干物质消化率(IVDMD)是可行的, 可为菊苣体外干物质消化率(IVDMD)的测定提供快速的分析测定方法。

Chicory (Cichorium intybus L.) is a new type of forage grasses of high yield and quality with a great value of popularization and utilization. In vitro dry matter digestibility (IVDMD) is one of the important indicators of the nutritional value of forage evaluation. For the study of establishment of Chicory IVDMD NIRS quantitative analysis model, seventy-two species with different genotypes, different growth stages of 204 chicory samples of aboveground material were collected, and by Fourier transform near-infrared diffuse reflectance spectroscopy, through the use of different regression algorithms, can comparing different spectral ranges and spectral pretreatment methods, eight chicory IVDMD NIRS calibration models were established, and the best calibration model parameters were chosen. Its calibration coefficient of determination (R2cal) and external validation coefficient of determination (R2val) were 0.953 17 and 0.904 55, calibration standard deviation (RMSEC) and predictive standard deviation (RMSEP) was 1.977 99% and 2.008 82%, and the correlation coefficient (r) between predicted values and chemical values was 0.951 08. The results show that using NIRS to determine chicory IVDMD is feasible, and provided a rapid analysis method for the determination IVDMD of chicory.