A conceptual framework for the modelling of sodicity constraints to crops
Despite their negative consequences to crop yield, how soil constraints interact with plant physiological processes is poorly understood. I will develop a conceptual modelling framework that integrates the biophysical and biogeochemical processes by which soil constraints impact crops to unravel the complex soil-plant interactions that occur in cropping systems. Sodicty is the focus in this pilot as it presents both physical and geochemical constraints to crop growth. Interfaced with existing crop models, the framework will streamline future multidisciplinary research aimed at addressing soil constraints by facilitating the discovery of novel avenues for soil management and improving our mechanistic understanding of the soil-plant system.
- Knowledge-guided machine-learning optimisation of soil constraint management
- Improving the representation of soil productivity/constraints in existing DSS and modelling platforms
- Pipeline for quantification of climate risk on crop productivity of dominant soil types in Queensland, under future climate change scenarios
- Scoping study of the requirements for the development of CaneMAPPs
- Diagnosis frameworks for multiple and complex soil constraints