Determination of Main Fiber Compositions of Alfalfa Hay by Near Infrared Reflectance Spectroscopy
NIE Zhi-dong1,HAN Jian-guo1*,YU Zhu1,ZHONG Yong2,LIU Fu-yuan2
1. Institute of Grassland Science, China Agricultural University, Beijing 100094, China 2. Gansu Branch of Chengdu Daye International Investment Co. Ltd., Jiuquan 735000, China
Abstract：Sixty alfalfa samples, with different growth stage, cultivars, and preparing method (drying by oven, shade and sun), were selected to study the potential of determination of cellulose, hemicellulose and lignin content in the present research. The result showed that the correlation coefficient of cross-validation (RCV), determination coefficient of external validation(r2) and the ratio of standard deviation to root mean square error of prediction(RPD) of cellulose and lignin were 0.97, 0.97 and 4.44, and 0.94, 0.94 and 4.08, respectively. This indicated the feasibility of determining cellulose and lignin content of alfalfa using near infrared reflectance spectroscopy. Hemicellulose was not predicted accurately by NIRS in this study, due to the lowest accuracy (RCV=0.39, r2=0.29, RPD=1.09). The exact determination of cellulose and lignin using near infrared reflectance spectroscopy will be useful to quality control in alfalfa production and quickly analyzing the fiber composition of alfalfa samples in breeding research.
聂志东1,韩建国1*,玉 柱1,仲 勇2,刘富渊2. 近红外反射光谱法测定苜蓿干草主要纤维成分的研究[J]. 光谱学与光谱分析, 2008, 28(05): 1045-1048.
NIE Zhi-dong1,HAN Jian-guo1*,YU Zhu1,ZHONG Yong2,LIU Fu-yuan2. Determination of Main Fiber Compositions of Alfalfa Hay by Near Infrared Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(05): 1045-1048.
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