Hu Chao, Bai Shi-qie, Zhang Yu, Yan Jia-jun, You Ming-hong, Li Da-xu, Bai Ling
Guang Pu Xue Yu Guang Pu Fen Xi. 2014 Aug;34(8):2085-8.
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 (Ri) and external validation coefficient of determination (Rval2) were 0.95317 and 0.90455, 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 0.95108. The results show that using NIRS to determine chicory IVDMD is feasible, and provided a rapid analysis method for the determination IVDMD of chicory.
菊苣(Cichorium intybus L.)是一种新型的高产优质饲草,具有很高的推广利用价值。体外干物质消化率(IVDMD)是饲草营养价值评价的重要指标之一。为研究建立菊苣IVDMD近红外光谱定量分析模型,采集了72个不同基因型、不同生长阶段的菊苣地上部分材料共204个样本,通过傅里叶变换近红外漫反射光谱法,利用不同回归算法,比较不同光谱范围和光谱预处理方法,建立了8个菊苣IVDMD近红外光谱校准模型,并选取了最佳校准模型参数。其校准决定系数(Ri)和外部验证决定系数(Rval2)分别为0.95317和0.90455,校准标准差(RMSEC)和预测标准差(RMSEP)分别为1.977 99%和2.008 82%,预测值与化学值之间的相关系数(r)为0.95108。结果表明,利用近红外光谱法测定菊苣IVDMD是可行的,为菊苣IVDMD的测定提供了一种快速分析方法。