Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation
Article
Article Title | Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation |
---|---|
ERA Journal ID | 5248 |
Article Category | Article |
Authors | Allen, 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 Title | Soil Research |
Journal Citation | 57 (7), pp. 738-754 |
Number of Pages | 17 |
Year | 2019 |
Publisher | CSIRO Publishing |
Place of Publication | Australia |
ISSN | 0004-9573 |
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. |
Keywords | exponential model, kinetics,soil N supply |
ANZSRC Field of Research 2020 | 300407. Crop and pasture nutrition |
410604. Soil chemistry and soil carbon sequestration (excl. carbon sequestration science) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department 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 Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q588v/nitrogen-mineralisation-in-sugarcane-soils-in-queensland-australia-i-evaluation-of-soil-tests-for-predicting-nitrogen-mineralisation
207
total views8
total downloads0
views this month0
downloads this month