Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits sitespecific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propa...

Sugarcane is one of the world's main carbohydrates sources. We analysed the APSIM-Sugar (AS) and DSSAT/CANEGRO (DC) models to determine their structural differences, and how these differences affect their predictions of crop growth and production. The AS model under predicted yield at the hotter sites, because the algorithm for computing the degree-days is based in only one upper cardinal tempe...

Rainfall variability has a significant impact on crop production with manifestations in frequent crop failure in semiarid areas. This study used the parameterized APSIM crop model to investigate how rainfall variability may affect yields of improved sorghum varieties based on long-term historical rainfall and projected climate. Analyses of historical rainfall indicate a mix of nonsignificant an...

In the Central Rift Valley of Ethiopia (CRV), actual productivity most cereals is less than 3 t ha−1 associated with low input use and poor crop management. After calibrating validating Agricultural Production System Simulator (APSIM) using experimental data, we explored prioritized promising intensification options for rainfed maize wheat that enable to narrow prevailing yield gaps in CRV, qua...

Forage brassicas have historically been used in high rainfall/irrigated temperate livestock systems, but there is increasing interest diverse forage drier mixed crop-livestock farming systems. Computer-based modelling an important decision support tool agriculture to explore the adaptability of crops different climates and agronomic management practices, existing tools for are limited environme...

APSIM Nwheat is a crop system simulation model, consisting of modules that incorporate aspects of soil water, nitrogen (N), crop residues, and crop growth and development. The model was applied to simulate aboveand belowground growth, grain yield, water and N uptake, and soil water and soil N of wheat crops in the Netherlands. Model outputs were compared with detailed measurements of field expe...