Sunflower is an annual species of the Asteraceae family, and it occupies a relevant position
in the world market business as one of the most important oilseed crops. Given the current …

Growing mixtures of annual arable crop species or genotypes is a promising way to improve
crop production without increasing agricultural inputs. To design optimal crop mixtures …

This study aims at develo** a robust and generic methodology, based on the use of high
resolution remote sensing data to provide accurate estimates of maize biomass and yield …

Climate change is characterized by higher temperatures, elevated atmospheric CO2
concentrations, extreme climatic hazards, and less water available for agriculture …

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 …

Understanding the genetic basis of phenotypic plasticity is crucial for predicting and
managing climate change effects on wild plants and crops. Here, we combined crop …

As a rainfed spring-sown crop, sunflower (Helianthus annuus L.) is increasingly exposed to
negative impacts of climate change, especially to high temperatures and drought stress …

A crop model with genetic inputs can potentially simulate yield for a large range of
genotypes, sites, and years, thereby indicating where and when a given combination of …

Due to significant changes in agro-ecological contexts, farmers need new solutions to
produce goods. Modelling complements field experiments in the design of new farming …

Background With up to 200 published contributions, the GreenLab mathematical model of
plant growth, developed since 2000 under Sino-French co-operation for agronomic …