Studies model the local influence of phloem resistance on taproot and lateral root growth.
Category - Computational Models
Rachel Shekar
Increasing yield prediction accuracy
Researchers find combining multiple types of models improves crop yield predictions, outperforming single models.
Weathering the Storm: Understanding Maize Lodging Resistance
A new model identifies the morphological features that determine stalk bending strength.
Introducing the new CPlantBox
Computational model may help unravel the complex processes of drought tolerance.
Imaginary Plants Reveal the Physics of Real Killers
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.
Alun Salt
A.I. Assistant
Using Genomic Prediction to Improve Ecophysiological Crop Models
A guide to combining ecophysiological and genomic models.
Five Root Models Compete in Benchmarking Challenge
Assessing the reliability of root water uptake simulations
“Virtual Leaf” Unveils Hidden Realities of Plant Physiology
The 'virtual leaf' that simulates leaf physiology in 3D, promises breakthroughs in understanding plant responses to environmental changes and boosting our agricultural strategies.
Fi Gennu
Traitor: Unleashing the Power of Automation for Studying Seed Traits
Are you using callipers and microscopes to measure seeds? Well, not anymore! Traitor comes to the rescue of seed scientists and technicians.
Carlos A. Ordóñez-Parra
SIMPLACE: The Next Generation Platform for Agricultural Systems Analysis
SIMPLACE offers a flexible and transparent approach to developing customized crop models
Machine Learning Unfolds New Insights Into Leaf Traits and Climate
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...
The Mathematics of How Plants Combat Pollen Scarcity with Self-Pollination
Through innovative eco-evolutionary models, Kuangyi Xu offers fresh insights into how plants could self-rescue in times of pollen scarcity by balancing the benefits and costs of self-fertilization.
Dale Maylea
What drives cambium development?
Using a mathematical model to test a proposed cambial cell division feedback loop.
Unlocking the secret to breeding high yielding protein-rich wheat
Models enable the optimization of multiple trait trade-offs.
