Nitrogen is the most limiting nutrient for crop production in many of the world's agricultural
areas and its efficient use is important for the economic sustainability of crop** systems …

Crop growth models dynamically simulate processes of C, N and water balance on daily or
hourly time‐steps to predict crop growth and development and at season‐end, final yield …

The response of coffee (Coffea arabica L.) agronomical performance to changes in climate
and atmospheric carbon dioxide concentration ([CO 2]) is uncertain. Improving our …

This work compares the performance of AquaCrop, a crop simulation model developed by
FAO, with that of two well established models, CropSyst and WOFOST, in simulating …

Crop Systems Dynamics Page 1 Soil N Soil water Leaves Stems Seeds Roots Shoots
Remobilization Partitioning Sink strength C assimilates N assimilates Development stage N …

The sensitivity of soybean [Glycine max (L.) Merr.] main stem node accrual to ambient
temperature has been documented in greenhouse‐grown plants but not with field‐grown …

Crop simulation models can help scientists, government agencies and growers to evaluate
the best strategies to manage their crops in the field, according to the climate conditions …

We developed a methodology and an optimization tool that simplifies calibration of the
APSIM PLANT multi parameter input phenology module. The methodology and the tool were …

The introduction of a new cultivar in a process-based crop simulation model requires the
estimation of cultivar coefficients that define its growth and development characteristics. An …

Crop models are highly useful for simulating crop and soil processes in response to
variations in climate and management. However, if one wishes to simulate a crop's …