Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region
Technical report
Title | Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region |
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Report Type | Technical report |
Authors | Ghahramani, Afshin (Author), An-Vo, Duc-Anh (Author), Rochecouste, John (Author), Mushtaq, Shahbaz (Author), Roberton, Stirling (Author), Bennett, John McLean (Author) and Cockfield, Geoff (Author) |
Institution of Origin | University of Southern Queensland |
Number of Pages | 41 |
Series | USQ CSAS Publication 1006897-18-DRAFT |
Year | 2018 |
Publisher | University of Southern Queensland |
Place of Publication | Toowoomba, Australia |
Abstract | The aim of this review was to identify knowledge gaps in Decision Support Systems (DSSs) for assessing the economics of adopting soil constraints amelioration options. To achieve the aim, we considered available DSSs developed by research and development corporations (RDCs), primary sectors and those in the commercial domain. Literature review was also conducted involving peer-reviewed articles and reports to consolidate our findings. A summary of the knowledge gaps and challenges, especially related to development of DSSs on economics of soil constraints amelioration have been presented below. Most DSSs for managing soil-constraints do not include economic assessment. Currently, there is no framework or DSS for growers to analyse the economic impact of the whole of farm soil constraints amelioration in the Northern region. If present for outside the Northern region, economic analyses are confined to the calculation of income from the crop grown during the amelioration process. There is no clear path for farmers or farm advisors for them to analyse: There is a lack of data to quantify the combined effect of multiple soil constraints on yield: It is essential to quantify the combined effect of multiple soil constraints on yield penalty. There is no data for characterising the interactive effect of multiple constraints but modelling will provide some insight for the approximations to be included in a new DSS. The capabilities of biophysical modelling for simulation of the cropping systems with soil constraints will be evaluated and modified if required (and possible). APSIM has been used for modelling cropping systems with soil constraints, but with extensive parametrisations and including expert opinions for tunings. |
ANZSRC Field of Research 2020 | 410604. Soil chemistry and soil carbon sequestration (excl. carbon sequestration science) |
300205. Agricultural production systems simulation | |
300207. Agricultural systems analysis and modelling | |
410605. Soil physics | |
410699. Soil sciences not elsewhere classified | |
300202. Agricultural land management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Centre for Sustainable Agricultural Systems |
Centre for Applied Climate Sciences |
https://research.usq.edu.au/item/q5830/towards-an-economic-decision-support-system-for-amelioration-of-soil-constraints-in-the-northern-grains-region
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