A. Heymans

Evidence that variation in root anatomy contributes to local adaptation in Mexican native maize

The paper uses machine learning to link root anatomical traits with environmental variation in Mexican maize, finding trait combinations that favor reduced axial conductance in cooler, drier highland areas.

Evidence for a multicellular symplasmic water pumping mechanism across vascular plant roots

The paper demonstrates a multicellular symplasmic water pumping mechanism in vascular plant roots by incorporating solute concentration gradients into water flow models, resolving a long-standing enigma about water movement uphill of water potential gradients.

Connecting the dots between root cross-section images and modelling tools to create a high resolution root system hydraulic maps in Zea mays.

The paper uses root cross-section images and modeling tools to generate high-resolution hydraulic conductivity maps for maize root types.

MARSHAL, a novel tool for virtual phenotyping of maize root system hydraulic architectures

The paper introduces MARSHAL, a tool for generating and analyzing maize root system hydraulic architectures, compatible with observations and useful for virtual breeding.

GRANAR, a new computational tool to better understand the functional importance of root anatomy

GRANAR generates digital root anatomical networks to estimate hydraulic properties and quantify anatomical influences on radial conductivity.