Literature DB >> 10984159

Near-Infrared spectroscopic determination of carbon, total nitrogen, and ammonium-N in dairy manures.

J B Reeves1, J S Van Kessel.   

Abstract

The objective of this study was to investigate the feasibility of using near-infrared reflectance spectroscopy (NIRS) to determine nutrient concentrations in dairy manures. We assayed diverse dairy manures (n = 107), collected from dairy farms in the northeastern United States (CT, MD, NY, PA, and VA) by conventional means and NIRS for total C, total N, NH3-N, moisture, P, K, and pH. Samples were scanned from 400 to 2498 nm in polyethylene bags on a FOSS-NIR-Systems Model 6500 scanning monochromator equipped with a sample transport device. We developed calibrations using a one-out cross validation procedure under partial least-squares regression. Preliminary results showed that eight samples were outliers either because of inaccurate conventional analysis or because they were uncharacteristic (i.e., two samples had moisture content below 72%, while all others were above 78%). These outliers were removed from further consideration. Final calibration results with the remaining 99 samples demonstrated that NIRS can accurately determine the moisture (r2 = 0.945, root mean squared deviation or RMSD = 1.0%), total C (r2 = 0.950, RMSD = 0.40%), total N (r2 = 0.956, RMSD = 0.030%), and NH3-N (r2 = 0.967, RMSD = 0.013%) concentrations, but not P or K concentrations in dairy manures. In conclusion, NIRS was shown to be a viable alternative to conventional analysis procedures for determining moisture, total C, total N, and NH3-N in a very diverse set of dairy manures.

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Year:  2000        PMID: 10984159     DOI: 10.3168/jds.S0022-0302(00)75053-3

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  NIR monitoring of ammonia in anaerobic digesters using a diffuse reflectance probe.

Authors:  Chitra S Raju; Mette Marie Løkke; Sutaryo Sutaryo; Alastair J Ward; Henrik B Møller
Journal:  Sensors (Basel)       Date:  2012-02-21       Impact factor: 3.576

Review 2.  Proxy Measures and Novel Strategies for Estimating Nitrogen Utilisation Efficiency in Dairy Cattle.

Authors:  Anna Lavery; Conrad P Ferris
Journal:  Animals (Basel)       Date:  2021-01-29       Impact factor: 2.752

3.  Evaluating the Feasibility of a Low-Field Nuclear Magnetic Resonance (NMR) Sensor for Manure Nutrient Prediction.

Authors:  Xiaoyu Feng; Rebecca A Larson; Matthew F Digman
Journal:  Sensors (Basel)       Date:  2022-03-22       Impact factor: 3.576

4.  Fast and Accurate Quantification of Nitrogen and Phosphorus Constituents in Animal Slurries Using NMR Sensor Technology.

Authors:  Ole N Jensen; Michael Beyer; Morten K Sørensen; Maria Kreimeyer; Niels Chr Nielsen
Journal:  ACS Omega       Date:  2021-06-29
  4 in total

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