Jérôme Enjalbert

The paper develops a UAV-based imaging pipeline to predict plant density in wheat and pea crops, showing high heritability across diverse intercropping scenarios.

The paper develops a quantitative genetic model to analyze direct and social genetic effects in mono- and intercropped species, providing software for implementation and demonstrating its effectiveness through simulations.

This study investigates maize-bean intercropping through on-farm surveys and field assays, finding competition dominates over cooperation, primarily affecting bean yield and gene expression.

The paper analyzes the global evolution of the effector gene AvrStb6 in Zymoseptoria tritici, showing diversification, loss, and virulence gains linked to host resistance deployment.

This paper presents an automatic calibration method for a wheat model using adaptive design and Gaussian process metamodels, showing improved performance on both simulated and experimental data.