130 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut National de la Recherche AgronomiqueMA5 papers
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR4 papers
- Institut National Polytechnique de ToulouseFR4 papers
- Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicalesFR2 papers
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École Nationale Supérieure Agronomique de ToulouseFR2 papers
- Institut Agro MontpellierFR2 papers
- Laboratoire des Interactions Plantes Microbes EnvironnementFR2 papers
- Mathématiques et Informatique Appliquées ToulouseFR2 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR2 papers
- AgroécologieFR1 paper
9 papers
Comparison of Check-All-That-Apply and Adapted-Pivot-Test methods for wine descriptive analyses with a panel of untrained students
Sylvain Nougarede, Alice Diot, Elie Maza +5
The Check-All-That-Apply (CATA) method was compared to the Adapted-Pivot-Test (APT) method, a recently published method based on pair comparisons between a coded wine and a referen…
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…