Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation

Article


Allen, D. E., Bloesch, P. M., Orton, T. G., Schroeder, B. L., Skocaj, D. M., Wang, W., Masters, B. and Moody, P. M.. 2019. "Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation." Soil Research. 57 (7), pp. 738-754. https://doi.org/10.1071/SR19031
Article Title

Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation

ERA Journal ID5248
Article CategoryArticle
AuthorsAllen, D. E. (Author), Bloesch, P. M. (Author), Orton, T. G. (Author), Schroeder, B. L. (Author), Skocaj, D. M. (Author), Wang, W. (Author), Masters, B. (Author) and Moody, P. M. (Author)
Journal TitleSoil Research
Journal Citation57 (7), pp. 738-754
Number of Pages17
Year2019
PublisherCSIRO Publishing
Place of PublicationAustralia
ISSN0004-9573
1446-568X
1838-675X
1838-6768
Digital Object Identifier (DOI)https://doi.org/10.1071/SR19031
Web Address (URL)http://www.publish.csiro.au/sr/SR19031
Abstract

We explored soil properties as indices of mineralisable nitrogen (N) in sugarcane soils and whether we could increase the accuracy of predicting N mineralisation during laboratory incubations. Utilising historical data in combination with samples collected during 2016, we: (i) measured mineralised N over the course of short-term (14 days) and long-term (301 days) laboratory incubations; (ii) compared models representing mineralisation; then (iii) related model parameters to measured soil properties. We found measures representing the labile organic N pool (Hydrolysable NaOH organic N; amino sugar Illinois soil N test) best related to short-term mineralised N (R2 of 0.50–0.57, P < 0.001), while measures of CO2 production (3, 7, 10 and 14 days) best related to longer-term mineralised N (R2 of 0.75–0.84, P < 0.001). Indices were brought together to model the active and slow pools of a two-pool mineralisation model in the statistical framework of a mixed-effects model. Of the models that relied on measurement of one soil property, cumulative CO2 production (7 days) performed the best when considering all soil types; in a cross-validation test, this model gave an external R2 of 0.77 for prediction of the 301-day mineralised N. Since the mixed-effects model accounts for the various sources of uncertainty, we suggest this approach as a framework for prediction of in-field available N, with further measurement of long-term mineralised N in other soils to strengthen predictive certainty of these soil indices.

Keywordsexponential model, kinetics,soil N supply
ANZSRC Field of Research 2020300407. Crop and pasture nutrition
410604. Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)
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Byline AffiliationsDepartment of Environment and Resource Management, Queensland
Department of Environment and Science, Queensland
University of Southern Queensland
Sugar Research Australia, Australia
Department of Natural Resources, Mines and Energy, Queensland
Institution of OriginUniversity of Southern Queensland
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