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Related Experiment Videos

Predicting nitrate leaching under potato crops using transfer functions.

M O Gasser1, J Caron, R Lagacé

  • 1Département des sols et de génie agroalimentaire, FSAA, Université Laval, Québec, QC, Canada G1K 7P4. mogasser@grr.ulaval.ca

Journal of Environmental Quality
|August 23, 2003
PubMed
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A simple model reasonably predicted nitrate leaching in sandy soils. This convective lognormal transfer (CLT) function approach helps evaluate nitrogen fertilizer management practices for potato and barley crops.

Area of Science:

  • Soil Science
  • Agronomy
  • Environmental Science

Background:

  • Nitrate leaching is a significant environmental and agricultural problem in cultivated soils, impacting water quality and nutrient availability.
  • Field-scale models are crucial for assessing and refining agricultural management practices to mitigate nitrate loss.
  • Sandy soils are particularly vulnerable to nitrate leaching due to their high permeability.

Purpose of the Study:

  • To evaluate a simple transfer function approach for predicting nitrate leaching in sandy soils.
  • To simulate nitrogen (N) cycling processes including mineralization, plant uptake, fertilizer dissolution, and nitrification.
  • To assess the model's predictive capability using field data from potato and barley cultivation.

Main Methods:

Related Experiment Videos

  • A convective lognormal transfer (CLT) function was combined with functional equations simulating key nitrogen cycle processes.
  • The model predicted solute concentrations as a function of drainage water under potato (Solanum tuberosum L.) and barley (Hordeum vulgare L.) crops.
  • Nitrate flux concentrations were measured in drainable lysimeters over a 1-m soil depth from April to December 1996.

    • Main Results:

    • The CLT approach reasonably predicted measured nitrate flux concentrations in lysimeters.
    • Under potato crops with average N fertilization of 16.9 g m⁻², mean nitrate leaching losses were 8.5 g N m⁻².
    • Model predictions aligned with observed increases in nitrate concentrations mid-season due to drainage and N fertilizer dynamics, and subsequent decreases due to plant uptake and fertilizer application timing.

    Conclusions:

    • The convective lognormal transfer (CLT) function provides a viable and simple method for predicting nitrate leaching in sandy agricultural soils.
    • The model effectively captures the influence of drainage, N fertilization, and crop uptake on nitrate flux concentrations throughout the growing season.
    • Findings support the use of this modeling approach for optimizing nitrogen management strategies to reduce environmental losses.