Prediction of Composition of Broiler Chicken Excreta Using Near-infrared Reflectance Spectroscopy

作者: I. T. Kadim , W. Al-Marzooqi , O. Mahgoub , K. Annamalai

DOI: 10.24200/JAMS.VOL10ISS1PP13-19

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摘要: Near-infrared reflectance spectroscopic (NIRS) calibrations were developed for the prediction of content dry matter (DM); nitrogen (N), ether extract (EE), neutral detergent fibre (NDF), acid (ADF), gross energy (GE), calcium (Ca) and phosphate (P) in broiler excreta samples. The chemical composition was determined by conventional analysis methods laboratory compared with NIRS. Excreta samples (n = 72) oven dried (60 o C) analyzed DM, N, EE, NDF, ADF, GE, Ca P. values (mean ± SD) as follows: DM: 31.46 7.65 (range:19.14 - 44.51), N: 5.85 2.88 (range: 4.85 -7.00), EE: 1.37 0.25 0.88-1.99), ADF: 16.71 1.99 12.11-19.97), NDF: 26.26 1.63 22.03-30.21), GE: 15.27 0.33 14.52-16.11), Ca: 2.57 0.22 2.16-3.01), P: 1.79 0.15 1.41-2.11). then scanned a NIRS model 5000 analyzer spectra obtained each sample. Calibration equations software used modified partial least square regression statistic, it is most suitable natural products. For samples, coefficient determination (R 2 ) standard error (SEP) DM 0.97, 1.27, N 0.95, 0.72, EE 0.92, 0.07, ADF 0.87, 0.78, NDF 0.88, GE 0.89; 0.24, 0.96, 0.06, P 0.93, 0.09, respectively. results indicate that possible to calibrate predict major constituents

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