Assessing the impact of traits on wheat yield and stability under climate change.

Studies model the local influence of phloem resistance on taproot and lateral root growth.

Researchers find combining multiple types of models improves crop yield predictions, outperforming single models.

A new model identifies the morphological features that determine stalk bending strength.

Computational model may help unravel the complex processes of drought tolerance.

A novel approach uniting maths, physics, and biology has uncovered how diverse rim shapes in carnivorous pitcher plants relate to strategies for catching different insect prey.

A guide to combining ecophysiological and genomic models.

Assessing the reliability of root water uptake simulations

The 'virtual leaf' that simulates leaf physiology in 3D, promises breakthroughs in understanding plant responses to environmental changes and boosting our agricultural strategies.

Are you using callipers and microscopes to measure seeds? Well, not anymore! Traitor comes to the rescue of seed scientists and technicians.

SIMPLACE offers a flexible and transparent approach to developing customized crop models

A novel machine learning-based study using digitized herbarium collections provides insights into the relationship between leaf size and climate across different plant species, and demonstrates the benefit of human involvement in training the AI model.