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.

Using a mathematical model to test a proposed cambial cell division feedback loop.

Models enable the optimization of multiple trait trade-offs.

Plant modelers do not also need to be software engineers thanks to Cropbox framework

Modelling unveils the role of photorespiration in stabilizing the Calvin cycle.

Modeling differences in reproductive effort between iteroparous and semelparous reproductive strategies in Bromeliaceae

Active carbon pools need to be included for accurate simulation of plant growth patterns under fluctuating environments.

Scientists have made a significant step towards building the world’s first digital plant by developing a sophisticated computational model which has also solved one of the most enduring plant science mysteries—the role of the biological clock. Anyone who has suffered from jet lag can identify with the devastating effects of a disrupted biological clock. Now […]

Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.

Identification of traits affecting pollen performance

Introducing cageminer, an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks

The best method depends on your goal, need for accuracy, and computing allowance