130 citations · 469 across the 9 of their papers we have counts for
9 papers
Prediction of sunflower leaf area at vegetative stage by image analysis and application to the estimation of water stress response parameters in post-registration varieties
Pierre Casadebaig, Nicolas Blanchet, Nicolas Bernard Langlade
The automatic measurement of developmental and physiological responses of sunflowers to water stress represents an applied challenge for a better knowledge of the varieties availab…
Current knowledge and future research opportunities for modeling annual crop mixtures. A review
Noémie Gaudio, Abraham J. Escobar-Gutiérrez, Pierre Casadebaig +18
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, c…
Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modeling and genome-wide association
Brigitte Mangin, Pierre Casadebaig, Eléna Cadic +14
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 modeling and…
A model-based approach to assist variety evaluation in sunflower crop
Pierre Casadebaig, Emmanuelle Mestries, Philippe Debaeke
Assessing the performance and the characteristics (e.g. yield, quality, disease resistance, abiotic stress tolerance) of new varieties is a key component of crop performance improv…
Using numerical plant models and phenotypic correlation space to design achievable ideotypes
Victor Picheny, Pierre Casadebaig, Ronan Trépos +4
Numerical plant models can predict the outcome of plant traits modifications resulting from genetic variations, on plant performance, by simulating physiological processes and thei…
Assessment of the potential impacts of plant traits across environments by combining global sensitivity analysis and dynamic modeling in wheat
Pierre Casadebaig, Bangyou Zheng, Scott Chapman +3
A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic and management information. Application of nume…
Sunflower phenotype optimization under climatic uncertainties using crop models
Victor Picheny, Ronan Trépos, Bastien Poublan +1
Accounting for the annual climatic variability is a well-known issue for simulation-based studies of environmental models. It often requires intensive sampling (e.g., averaging the…
Increased genetic diversity improves crop yield stability under climate variability: a computational study on sunflower
Pierre Casadebaig, Ronan Trépos, Victor Picheny +3
A crop can be represented as a biotechnical system in which components are either chosen (cultivar, management) or given (soil, climate) and whose combination generates highly vari…
A biomarker based on gene expression indicates plant water status in controlled and natural environments
Gwenaëlle Marchand, Baptiste Mayjonade, Didier Varès +9
Plant or soil water status are required in many scientific fields to understand plant responses to drought. Because the transcriptomic response to abiotic conditions, such as water…