activity
20132026
most citedGenetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modeling and genome-wide association

110 citations · 153 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.OT2026★ 7 cited

Sunflower nested core collections for association studies and phenomics

Marie Coque, Sébastien Mesnildrey, Michel Romestant +4

In order to develop association studies and to improve the phenotypic description for abiotic and biotic stress related traits, nested core collections of 48, 96, 144 and 384 sunfl…

eess.IV2023★ 2 cited

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…

q-bio.GN2017★ 110 cited

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…

q-bio.PE2014★ 6 cited

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…

q-bio.QM2013★ 28 cited

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…

q-bio.MN2013

Bridging physiological and evolutionary time scales in a gene regulatory network

Gwenaëlle Marchand, Vân Anh Huynh-Thu, Nolan Kane +9

Gene regulatory networks (GRN) govern phenotypic adaptations and reflect the trade-offs between physiological responses and evolutionary adaptation that act at different time scale…