文献类型： 外文期刊

作者： Shang Chen ² ; Zhang Yue-xue ¹ ; Li Yan ¹ ; Hao Ruo-chao ¹ ; Tang Feng-lan ¹ ; Han Wei-bo ¹ ; Liu Jie-lin ¹ ;

作者机构： 1.Heilongjiang Acad Agr Sci, Inst Pratacultural Sci, Harbin 150086, Peoples R China

2.Harbin Normal Univ, Life Sci & Technol Inst, Harbin 150025, Peoples R China

关键词： Near-infrared reflectance spectroscopy;Content;Alfalfa;Crude protein;Crude fiber;Partial least squares (PLS)

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2009 年 29 卷 12 期

页码：

收录情况： SCI

摘要： Near-infrared reflectance spectroscopy (NIRS) calibrations of crude protein and crude fiber in 152 alfalfa samples were developed by means of partial least-squares (11,S) regression. Different interval wavelengths of 1, 2 and 5 nm and two kinds of samples (crude and fine) were set to collect spectral data and establish calibration respectively. The accuracy and repeatability of calibrations were verified so as to compare Superiority and inferiority. Results showed that the best validation result is the calibration by 2 nm interval wavelength and fine sample, and the correlation coefficients of calibration (R(2)) were 0.97 and 0.94 for crude protein and crude fiber. and the SECV of these parameters were 0.42 and 0.78 respectively. The coefficients of determination for validation (R(val)(2)) were 0.96 and 0.92. and the SEP of these parameters were 0.43 and 0.79. The experiment showed that it is feasible to evaluate the major quality traits of alfalfa by NIRS. All together, it provided a new model to verify the crude protein and fiber compositions of alfalfa.