Calibration of crop model is standard practice, and it involves estimation of crop parameters
based upon observed field data. It is the process of estimation of unknown parameters using …

Empirical and process-based models are currently used to predict crop yield at field and
regional levels. A mechanistic model named STICS (Multidisciplinary Simulator for Standard …

Climate change poses a significant threat to agriculture, highlighting the need for adaptation
strategies to reduce its impacts. Agronomic adaptation strategies, such as changes in …

Soil-crop models are widely used as valuable tools to assess the combined effects of
crop** practices, soil management and climate on the agro-environmental indicators …

Modelling N transformations within crop** systems is crucial for N management
optimization in order to increase N use efficiency and reduce N losses. Such modelling …

The growing demand for sustainable agriculture is raising interest in intercrop** for its
multiple potential benefits to avoid or limit the use of chemical inputs or increase the …

Net soil N mineralization is a driver for N uptake and N losses at an annual scale, but is itself
dependent on long-term N surplus and CN storage in agricultural systems. The accurate …

Spring barley (Hordeum vulgare L.) is an increasingly important cash crop in the province of
Quebec (Canada). Soil–crop models are powerful tools for analyzing and supporting …

Crop modelling is a critical tool for assessing the impact of climate change and for
evaluating adaptation strategies to ensure the sustainability of agricultural systems. In …

Context Agroforestry systems provide critical benefits for food security and climate change
mitigation. Yet, they are complex and heteregoneous sytems hard to optimize. The use of …