Rapid analysis of layer manure using near-infrared reflectance spectroscopy

文献类型： 外文期刊

第一作者： Xing, L.

作者： Xing, L.;Chen, L. J.;Han, L. J.;Xing, L.;Chen, L. J.;Han, L. J.

作者机构：

关键词： near-infrared reflectance spectroscopy;modified partial least squares;layer manure;prediction

期刊名称：POULTRY SCIENCE （ 影响因子：3.352； 五年影响因子：3.679 ）

ISSN： 0032-5791

年卷期： 2008 年 87 卷 7 期

页码：

收录情况： SCI

摘要： Diverse samples (n=91) were used to investigate the feasibility of near-infrared reflectance spectroscopy (NIRS) technology for rapid analysis of the nutrient composition of layer manure. Near-infrared reflectance spectroscopy calibration models for moisture, organic matter, total N, ammonium N, total P, total K, Cu, Fe, Mg, and Na were developed by using the modified partial least squares method. Results showed that the NIRS method could provide accurate predictions of moisture, organic matter, total N, and ammonium N concentrations, with a correlation coefficient of validation (r(v)(2)) and a ratio of SD over the root mean square error of prediction (RPD) of 0.86 (2.68), 0.89 (2.91), 0.88 (2.75), and 0.88 (2.62), respectively. Total P (r(v)(2)=0.80, RPD=2.01) could be approximately determined by NIRS. It was difficult to determine total K (r(v)(2)=0.58, RPD=1.51), Cu (r(v)(2)=0.48, RPD=1.38), Fe (r(v)(2)=0.55, RPD=1.47), Mg (r(v)(2)= 0.60, RPD=1.51), and Na (r(v)(2)=0.62, RPD=1.87) by NIRS.

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