Phelan, David C. and Harrison, Matthew T. and McLean, Greg and Cox, Howard and Pembleton, Keith G. 
ORCID: https://orcid.org/0000-0002-1896-4516 and Dean, Geoff J. and Parsons, David and do Amaral Richter, Maria E. and Pengilley, Georgie and Hinton, Sue J. and Mohammed, Caroline L.
(2018)
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
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.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Published version cannot be displayed due to copyright restrictions. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Date Deposited: | 19 Feb 2019 05:24 |
| Last Modified: | 22 Feb 2019 00:22 |
| Uncontrolled Keywords: | CropARM; APSIM; biophysical modelling; parameterisation |
| Fields of Research (2008): | 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070103 Agricultural Production Systems Simulation 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070302 Agronomy |
| Fields of Research (2020): | 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300205 Agricultural production systems simulation 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300403 Agronomy |
| Socio-Economic Objectives (2008): | B Economic Development > 82 Plant Production and Plant Primary Products > 8205 Winter Grains and Oilseeds > 820507 Wheat |
| Identification Number or DOI: | https://doi.org/10.1016/j.agsy.2018.09.003 |
| URI: | http://eprints.usq.edu.au/id/eprint/35236 |
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