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Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania

Citation

Phelan, DC and Harrison, MT and McLean, G and Cox, H and Pembleton, KG and Dean, GJ and Parsons, D and do Amaral Richter, ME and Pengilley, G and Hinton, SJ and Mohammed, CL, Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania, Agricultural Systems, 167 pp. 113-124. ISSN 0308-521X (2018) [Refereed Article]


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Copyright Statement

2018 Elsevier Ltd.

DOI: doi:10.1016/j.agsy.2018.09.003

Abstract

Well-designed agricultural decision support tools (DS) equip farmers with a rapid, easy way to compare multiple scenarios as well as the influence of different management strategies on crop production. One such tool, CropARM (http://www.armonline.com.au) assists users in establishing a framework of risk, with simulations incorporating climate scenarios and management actions, such as fertiliser rates, sowing time, row spacing, and irrigation regimes. When used in conjunction with soil and climate characteristics, biophysical model-based DS tools provide information that complements farmer experience and helps establish a framework for risk management given local climate characteristics. In this study, we used the APSIM model to provide the simulation data necessary to expand CropARM for new management conditions and environments in southern Australia. Prior to this work being undertaken, no CropARM data was available for Tasmania and no sites in CropARM allowed users to compare rainfed and irrigated wheat crops. This study collated data from 27 plots across ten sites in Tasmania, from the period 1981 to 2011, under both rainfed and irrigated conditions. APSIM was parameterised with these field observations and the subsequent scenario simulations were used to populate CropARM. Wheat cultivars used in the parameterisation of APSIM include Brennan, Isis, Mackeller, Revenue, Tennant (winter types) and Kellalac (spring type). The validation showed reliable model parameterisation, with an r2 value of close to 1, which is considered satisfactory. 670,680 simulations were undertaken and incorporated within the CropARM database for wheat cropping systems across Tasmania. With regularly updated climate streams, the free online framework provided by CropARM gives users the ability to assess downside risks associated with several different crop management alternatives, and by simultaneously comparing multiple scenarios, users can select management options that are likely to adhere most closely with their desired management objectives.

Item Details

Item Type:Refereed Article
Keywords:CropARM, decision-support tool, wheat, modelling, APSIM, nitrogen, management, crop, grain, yield, biomass
Research Division:Agricultural and Veterinary Sciences
Research Group:Crop and Pasture Production
Research Field:Agronomy
Objective Division:Plant Production and Plant Primary Products
Objective Group:Winter Grains and Oilseeds
Objective Field:Wheat
UTAS Author:Phelan, DC (Mr David Phelan)
UTAS Author:Harrison, MT (Dr Matthew Harrison)
UTAS Author:Dean, GJ (Mr Geoffrey Dean)
UTAS Author:do Amaral Richter, ME (Miss Maria do Amaral Richter)
UTAS Author:Pengilley, G (Dr Georgie Pengilley)
UTAS Author:Hinton, SJ (Miss Sue Hinton)
UTAS Author:Mohammed, CL (Professor Caroline Mohammed)
ID Code:128671
Year Published:2018
Deposited By:TIA - Research Institute
Deposited On:2018-10-05
Last Modified:2019-03-21
Downloads:0

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