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Article << Previous     |     Next >>   Contents Vol 47(8)

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, Alan Broome A

A 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
 
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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.

Keywords: modelling.


   
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