An improved model of nitrogen release for surface-applied controlled-release fertilizer

Fujinuma, Ryosuke, Balster, Nick J. and Norman, John M. (2009) An improved model of nitrogen release for surface-applied controlled-release fertilizer. Soil Science Society of America Journal, 73 6: 2043-2050.


Author Fujinuma, Ryosuke
Balster, Nick J.
Norman, John M.
Title An improved model of nitrogen release for surface-applied controlled-release fertilizer
Journal name Soil Science Society of America Journal   Check publisher's open access policy
ISSN 0361-5995
1435-0661
Publication date 2009-11
Sub-type Article (original research)
DOI 10.2136/sssaj2009.0085
Volume 73
Issue 6
Start page 2043
End page 2050
Total pages 8
Place of publication Madison, WI, United States
Publisher Soil Science Society of America
Language eng
Formatted abstract Empirical temperature models are commonly used to estimate N release from polymer-coated controlled-release fertilizers (CRFs) under field conditions where the influence of soil moisture is negligible. For surface-applied CRF in bare-root nurseries, the effect of soil moisture may be important. To quantify the effect of soil moisture on N release from surface-applied CRF, two experiments were conducted in a sandy-textured soil: (i) a laboratory experiment to develop two semiempirical models that characterized the effect of soil temperature (T model) and moisture (MT model) on N release, and (ii) a field experiment to evaluate the precision of these models. In the laboratory experiment, the N release from CRF (urea, 41–0–0, ∼2-mo release) was measured under 16 combinations of four soil temperatures (5, 10, 23, and 35°C) and four soil moisture contents (0.002, 0.04, 0.11, 0.22 kg kg−1). The calculated time constants for each abiotic combination showed that both soil temperature and soil moisture content controlled the cumulative N release (CNR). The difference between model estimates and field measurements of CNR indicated that the T model significantly underestimated CNR by as much as 18% (P < 0.01). In contrast, this difference was reduced to 8% using the MT model; the slope of the least-square fit for the MT model was not significantly different from unity at the 1% level and just significant at 5% (P = 0.052). Therefore, we argue that a model parameterized by both soil temperature and soil moisture will improve estimates of CNR from surface-applied CRF in irrigated tree nurseries.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
 
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Created: Wed, 11 Jul 2012, 14:05:03 EST by Ryosuke Fujinuma on behalf of School of Agriculture and Food Sciences