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Towards a multiscale crop modelling framework for climate change adaptation assessment
Predicting the consequences of manipulating genotype (G) and agronomic management (M)
on agricultural ecosystem performances under future environmental (E) conditions remains …
on agricultural ecosystem performances under future environmental (E) conditions remains …
Decomposing crop model uncertainty: A systematic review
Crop models are essential tools for analysing the effects of climate variability, change on
crop growth and development and the potential impact of adaptation strategies. Despite their …
crop growth and development and the potential impact of adaptation strategies. Despite their …
Maize yield and nitrate loss prediction with machine learning algorithms
Pre-growing season prediction of crop production outcomes such as grain yields and
nitrogen (N) losses can provide insights to farmers and agronomists to make decisions …
nitrogen (N) losses can provide insights to farmers and agronomists to make decisions …
[HTML][HTML] Effects of shade and deficit irrigation on maize growth and development in fixed and dynamic AgriVoltaic systems
IA Ramos-Fuentes, Y Elamri, B Cheviron… - Agricultural Water …, 2023 - Elsevier
Maize production is essential for global food security and represents a major supply in
several value chains. However, the projected effects of climate change are likely to decrease …
several value chains. However, the projected effects of climate change are likely to decrease …
Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt
Abstract We used the Agricultural Production Systems sIMulator (APSIM) to predict and
explain maize and soybean yields, phenology, and soil water and nitrogen (N) dynamics …
explain maize and soybean yields, phenology, and soil water and nitrogen (N) dynamics …
No perfect storm for crop yield failure in Germany
Large-scale crop yield failures are increasingly associated with food price spikes and food
insecurity and are a large source of income risk for farmers. While the evidence linking …
insecurity and are a large source of income risk for farmers. While the evidence linking …
Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios
Concerns over climate change are motivated in large part because of their impact on human
society. Assessing the effect of that uncertainty on specific potential impacts is demanding …
society. Assessing the effect of that uncertainty on specific potential impacts is demanding …
Soil organic matter as catalyst of crop resource capture
The positive effect of soil organic matter (SOM) on crop yield has historically been attributed
to the ability of SOM to supply crops with nitrogen and water. Whether management-induced …
to the ability of SOM to supply crops with nitrogen and water. Whether management-induced …
[HTML][HTML] Mixing process-based and data-driven approaches in yield prediction
Yield prediction models can be divided between data-driven and process-based models
(crop growth models). The first category contains many different types of models with …
(crop growth models). The first category contains many different types of models with …
Substantial differences in crop yield sensitivities between models call for functionality‐based model evaluation
Crop models are often used to project future crop yield under climate and global change and
typically show a broad range of outcomes. To understand differences in modeled responses …
typically show a broad range of outcomes. To understand differences in modeled responses …