Ammonia volatilisation losses from urea applied to acidic cropping soils is regulated by pH buffering capacity
L. O. Hearn A B * , L. Barton A , G. D. Schwenke C and D. V. Murphy A DA SoilsWest, School of Agriculture and Environment, The University of Western Australia, Crawley, WA 6009, Australia.
B Agriculture Victoria Research, Horsham, Vic. 3400, Australia.
C New South Wales Department of Primary Industries, Tamworth Agricultural Institute, Calala, NSW 2340, Australia.
D SoilsWest, Centre for Sustainable Farming Systems, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia.
Soil Research 61(7) 685-696 https://doi.org/10.1071/SR23044
Submitted: 10 March 2023 Accepted: 24 July 2023 Published: 8 August 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
Abstract
Context: Ammonia (NH3) volatilisation can be a significant nitrogen (N) loss pathway in the grains industry following the surface broadcast application of urea. However, the extent of urea volatilisation from acidic soils and the soil properties that regulate this N loss pathway have not been investigated widely.
Aims: We conducted a laboratory incubation experiment to measure NH3 volatilisation loss potential following the broadcast application of urea prills (1–2 mm diameter; 50 kg N ha−1) onto moistened acidic and neutral cropping soils, sampled from four long-term cropping research sites.
Methods: The selected soils varied in pH, clay content, organic carbon, pH buffering capacity (pHBC) and cation exchange capacity. Volatilised NH3 was captured in a phosphoric acid trap after 7, 14 and 21 days and then measured using colorimetric analysis. We compared the measured NH3 losses with predicted NH3 losses derived from an existing empirical NH3 volatilisation prediction model.
Key results: Of the applied urea-N, 0.9–25% was volatilised. Cumulative NH3 losses were strongly related (R2 = 0.77) with soil pHBC derived from a pedotransfer function. The existing NH3 loss model generally had poor predictive capacity (RMSE = 34%).
Conclusions: Using clay content as a surrogate variable for pHBC in the predictive model for sandy kaolinitic soils where it is largely a function of organic carbon content can cause poor estimates of NH3 volatilisation loss potential.
Implications: Grain production on sandy, acidic soils with low pHBC could lead to substantial NH3 volatilisation losses if urea is broadcast.
Keywords: acid soils, ammonia volatilisation, cation exchange capacity, cropping systems, kaolinitic clay, nitrogen fertiliser, organic carbon, pH buffering capacity.
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