Agroecology is often considered as the ultimate and most comprehensive solution to the
many challenges of the agricultural and food system, also referred to as the agri-food …

Most crop models were developed and tested in homogeneous field conditions. However,
these crop models are increasingly applied beyond the field scale for larger regions …

Wheat grain protein concentration is an important determinant of wheat quality for human
nutrition that is often overlooked in efforts to improve crop production. We tested and applied …

The potential impact of global temperature change on global crop yield has recently been
assessed with different methods. Here we show that grid-based and point-based simulations …

Food security and agriculture productivity assessments in sub‐Saharan Africa (SSA) require
a better understanding of how climate and other drivers influence regional crop yields. In this …

We show the error in water-limited yields simulated by crop models which is associated with
spatially aggregated soil and climate input data. Crop simulations at large scales (regional …

Keeping global temperatures below 2.0° C above pre-industrial condition and pursuing
efforts toward the more ambitious 1.5° C goal in the late 21 st century was the main target …

Climate change has already been affecting the regional suitability of grapevines with
significant advances in phenology being observed globally in the last few decades. This has …

The uncertainties associated with crop model inputs can affect the spatio-temporal variance
of simulated yields, particularly under suboptimal irrigation. The aim of this study was to …

For spatial crop and agro-systems modelling, there is often a discrepancy between the scale
of measured driving data and the target resolution. Spatial data aggregation is often …