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Dairy manure nutrient analysis using quick tests.

A Singh1, J R Bicudo

  • 1Department of Biosystems and Agricultural Engineering, University of Kentucky 128 CE Barnhart Building, Lexington, KY 40546, USA.

Environmental Technology
|June 25, 2005
PubMed
Summary

Quick tests for manure nutrient analysis are reliable when calibrated regionally. Developing specific calibration equations for local farms significantly improves accuracy in estimating nutrients like total nitrogen and phosphorus.

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Area of Science:

  • Agricultural Science
  • Soil Science
  • Environmental Science

Background:

  • Accurate on-farm assessment of manure nutrient content is crucial for efficient fertilizer management and environmental protection.
  • Traditional laboratory analysis is time-consuming and costly for immediate pre-application nutrient evaluation.
  • Quick tests offer a potential solution for rapid, on-site manure analysis.

Purpose of the Study:

  • To evaluate the accuracy of hydrometers, electrical conductivity (EC) meter/pens, and Agros N meter for on-farm manure nutrient assessment.
  • To compare the performance of these quick tests against standard laboratory methods.
  • To determine the effectiveness of regional versus combined calibration equations for nutrient estimation.

Main Methods:

  • Collected manure samples from 34 dairy farms in central Kentucky (Barren, Hart, Monroe counties).

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  • Assessed nutrient content using hydrometers, EC meter/pens, and Agros N meter.
  • Developed regression equations using both combined and individual county datasets.
  • Compared quick test results with standard laboratory analysis.

    • Main Results:

    • Hydrometer estimates for total nitrogen showed high accuracy with county-specific regressions (R² = 0.61-0.93).
    • Hydrometers also provided reasonably accurate estimates for total nitrogen and phosphorus (R² > 0.70).
    • Agros N meter and EC meter/pens demonstrated good correlation with lab methods for ammoniacal nitrogen, especially with Hart County data (R² = 0.70-0.87).

    Conclusions:

    • Regional calibration equations for quick manure tests are more accurate than universal ones.
    • Farm similarity in management, housing, and feed within a region enhances calibration reliability.
    • Developing farm-specific calibration curves is recommended for maximum accuracy; confidence intervals should always be provided.