Using APSIM-soiltemp to simulate soil temperature in the podding zone of peanut
Yash Chauhan A D , Graeme Wright A , Nageswara Rao Rachaputi A , Stephen Krosch A , Michael Robertson B , John Hargreaves C and Alan Broome AA Department of Primary Industries and Fisheries, Kingaroy, Qld 4610, Australia.
B CSIRO Sustainable Ecosystems, 306 Biosciences Precinct, Carmody Road, Qld 4067, Australia.
C Agricultural Production Systems Research Unit, PO Box 102, Toowoomba, Qld 4350, Australia.
D Corresponding author. Email: yash.chauhan@dpi.qld.gov.au
Australian Journal of Experimental Agriculture 47(8) 992-999 https://doi.org/10.1071/EA06137
Submitted: 4 April 2006 Accepted: 2 March 2007 Published: 16 July 2007
Abstract
Measurement or accurate simulation of soil temperature is important for improved understanding and management of peanuts (Arachis hypogaea L.), due to their geocarpic habit. A module of the Agricultural Production Systems Simulator Model (APSIM), APSIM-soiltemp, which uses input of ambient temperature, rainfall and solar radiation in conjunction with other APSIM modules, was evaluated for its ability to simulate surface 5 cm soil temperature in 35 peanut on-farm trials conducted between 2001 and 2005 in the Burnett region (25°36′S to 26°41′S, 151°39′E to 151°53′E). Soil temperature simulated by the APSIM-soiltemp module, from 30 days after sowing until maturity, closely matched the measured values (R2 ≥ 0.80) in the first three seasons (2001–04). However, a slightly poorer relationship (R2 = 0.55) between the observed and the simulated temperatures was observed in 2004–05, when the crop was severely water stressed. Nevertheless, over all the four seasons, which were characterised by a range of ambient temperature, leaf area index, radiation and soil water, each of which was found to have significant effects on soil temperature, a close 1 : 1 relationship (R2 = 0.85) between measured and simulated soil temperatures was observed. Therefore, the pod zone soil temperature simulated by the module can be generally relied on in place of measured input of soil temperature in APSIM applications, such as quantifying climatic risk of aflatoxin accumulation.
Additional keyword: modelling.
Acknowledgements
The authors thank all the peanut growers in the Burnett region of south-east Queensland who allowed measurements of soil temperature in their fields. Financial support from the Grains Research and Development Corporation (GRDC) under projects DAQ543 and DAQ 00070, the Australian Centre for International Agricultural Research (ACIAR) under project PHT 97/017, and the Peanut Co. of Australia (PCA) is gratefully acknowledged.
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