Process-based crop models are popular tools to quantify the impact of changes due climate or management. Accurate simulation production for different agro-ecological conditions usin...

Farming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent fluxes through the soil, plant and atmosphere of the systemwell, but do not generally consider the biotic constraints that function within the system. We designed a method that allowed population models built in DYMEX to interact with APSIM. The simulator engine component of the DYMEX population-m...

For twenty four years, the Agricultural Production Systems sIMulator (APSIM) has grown from a farming systems framework used by a small number of people, into a large collection of models used by many thousands of modellers internationally. The software consists of many hundreds of thousands of lines of code in 6 different programming languages. The models are connected to each other using a ‘c...

Nitrogen (N) dynamics in ley-arable cropping systems require better understanding order to assess the potential of such contribute improved productivity and reduced nutrient losses crop production. Large inputs organic matter after termination ley phase result increased mineralization N availability subsequent crops. The description quantification this residual effect remains a major scientific...

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...

Biophysical simulation models (e.g. APSIM) using historical rainfall data are increasingly being used to provide yield and other data on crop rotations in various regions of Australia. However, to analyse the economics of these rotations it is desirable to incorporate the other main driver of profitability, price variation. Because the context was that APSIM was being used to simulate an existi...

El cambio climático (CC) afecta las condiciones meteorológicas actuales y repercute negativamente en el rendimiento de maíz, particularmente temporal. Para estimar los efectos del CC la productividad, se han utilizado modelos simulación crecimiento bajo diferentes escenarios climático. En este artículo hace una revisión sobre implementados globalmente, durante periodo 2006 a 2019; través, Scopu...

Stresses from heat and drought are expected to increasingly suppress crop yields, but the degree to which current models can represent these effects is uncertain. Here we evaluate the algorithms that determine impacts of heat and drought stress on maize in 16 major maize models by incorporating these algorithms into a standard model, the Agricultural Production Systems sIMulator (APSIM), and ru...

Intensification of agricultural systems has resulted in remarkable increases in productivity. However in grazed systems only about 10-20% of the N ingested by grazing animals is retained in animal products. The reminder is returned in excreta to the paddock in a spatially non-uniform fashion as dung and urine and then either accumulates in the soil or is lost via leaching or gaseous emissions. ...

Soil salinity is the main environmental limiting factor for current agricultural farming systems in Bangladesh coastal zone. Targeting crop selection to ameliorate its impact food production a priority ensure security, diversifying outputs and reducing smallholders' vulnerabilities. In this context, growth modelling emerges as useful tool exploring different scenarios selection. Studying spatia...