Analysis of nitrogen fractions in silage by near-infrared spectroscopy

被引:4
|
作者
Hermida, M
Lois, A
Rodriguez-Otero, JL [1 ]
机构
[1] Univ Santiago, Fac Vet, Inst Invest & Anal Alimentos, Lugo 27002, Galicia, Spain
[2] Diputac Prov Pontevedra, Lab Mouriscade, Lalin 36500, Galicia, Spain
关键词
NIR spectroscopy; nitrogen fractions; silage;
D O I
10.1021/jf0401423
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Total nitrogen, soluble nitrogen (SN), nonprotein nitrogen (NPN), and acid-detergent insoluble nitrogen (ADIN) were analyzed in grass silage by near-infrared (NIR) spectroscopy. A set of 144 samples was used to calibrate the instrument by modified partial least-squares regression, and the following statistical results were achieved: standard error of calibration (SEC) = 0.449 and square correlation coefficient (R-2) = 0.98 for total nitrogen x 6.25, SEC = 0.425 and R-2 = 0.95 for SN x 6.25, SEC = 0.414 and R-2 = 0.94 for NPN x 6.25, and SEC = 0.139 and R-2 = 0.84 for ADIN x 6.25. To validate the calibration performed, a set of 48 silage samples was used. Standard errors of prediction were 0.76, 0.64, 0.63, and 0.25 for total nitrogen, SN, NPN, and ADIN (all of them multiplied by 6.25), respectively, and R-2 for the regression of measurements by reference method versus NIR analysis were 0.94, 0.92, 0.90, and 0.48 for total nitrogen, SN, NPN, and ADIN, respectively. To compare the results obtained by NIR spectroscopy with those obtained by the reference methods for total nitrogen, SN, and NPN of the validation set, linear regression and paired t tests were applied, and the results were not significantly different (p = 0.05). When mean square prediction error analysis was applied, it could be concluded that for total nitrogen, SN, and NPN, a robust calibration model was obtained and that the main error was unexplained error. Statistical data for ADIN were worse than those of the other parameters; as a result NIR spectroscopy is not an effective method for quantitative analyses of ADIN in silage; nevertheless, it may be an acceptable method for semiquantitative evaluation.
引用
收藏
页码:1374 / 1378
页数:5
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