Predicting the consequences of manipulating genotype (G) and agronomic management (M)
on agricultural ecosystem performances under future environmental (E) conditions remains …

Crop growth models simulate the relationship between plants and the environment to predict
the expected yield for applications such as crop management and agronomic decision …

Interactions between soil quality and climate change may influence the capacity of
croplands to produce sufficient food. Here, we address this issue by using a new dataset of …

Closing the yield gap between actual and potential wheat yields in Australia is important to
meet the growing global demand for food. The identification of hotspots of the yield gap …

Performance measures (PMs) and corresponding performance evaluation criteria (PEC) are
important aspects of calibrating and validating hydrologic and water quality models and …

Projections of climate change impacts on crop yields are inherently uncertain. Uncertainty is
often quantified when projecting future greenhouse gas emissions and their influence on …

The potential impacts of climate change on crop productivity are of widespread interest to
those concerned with addressing climate change and improving global food security. Two …

Potential consequences of climate change on crop production can be studied using
mechanistic crop simulation models. While a broad variety of maize simulation models exist …

Crop models of crop growth are increasingly used to quantify the impact of global changes
due to climate or crop management. Therefore, accuracy of simulation results is a major …

A broad scope of crop models with varying demands on data inputs is being used for several
purposes, such as possible adaptation strategies to control climate change impacts on future …