Chapter 1 Introduction

The whole project is based on (Sim 2014) PhD work. Without his hard-work, I will have no data to do the masters.

The eventual goal is to have an APSUMX-Lucerne model to simulate lucerne yield under dryland conditions. Then we can use it to do what if scenario experiments in silico. (Teixeira et al. 2020) developed the concept of using APSIMX models and Rshiny to explore effects of management on crop performance and potential environmental outcomes. Figure 1.1 demonstrates an example of lucerne yield map under optimal conditions. A robust lucerne model is essential to achieve this goal. The master project is set up to start the journey of having such model. However, I only scratched the surface of APSIMX model development for incoporating water deficit mechanism and the model is still far from production ready.

Figure 1.1: A demonstration yield map generated by robust Lucerne model.

References

Sim, R. E. 2014. “Water extraction and use of seedling and established dryland lucerne crops.” PhD thesis, Lincoln University, Canterbury, New Zealand.

Teixeira, Edmar., Anne-Gaelle. Ausseil, Eric. Burgueño, Hamish. Brown, Rogerio. Cichota, Marcus. Davy, Frank. Ewert, et al. 2020. “A Spatial Analysis Framework to Assess Responses of Agricultural Landscapes to Climates and Soils at Regional Scale.” Edited by Wilfried. Mirschel, Vitaly V. Terleev, and Karl-Otto Wenkel, 495–508. https://doi.org/10.1007/978-3-030-37421-1_25.