Computational Models
Under pressure: How do plants strike a balance between growth and defense?
A novel modelling approach explores how resource availability, competition pressure and insect herbivore pressure drive selection.
Computational Models
SoyFACE for 3D soybean canopy modelling under elevated carbon dioxide
New mathematical model dissects how soybean plants might grow larger in the future.
Computational Models
Reuse, don’t lose, process-based models and components
A new system automatically transforms existing process-based crop models into different languages and simulation platforms.
Close Encounters
Computer simulation highlights the importance of pollinator diversity
Sharing pollinators can cause problems when pollen competes for transport
Computational Models
Call for papers: Functional-Structural Plant Models
in silico Plants is pleased to welcome submissions for an upcoming virtual special issue on Functional-Structural Plant Modelling.
Computational Models
‘What’s your favorite isP article and why?’
The editors of in silico Plants are delighted to share with you an Editor’s Choice selection of key papers that highlight some of the best current plant modelling research published in the journal.
Computational Models
Agent Based Models in Plant Science
Agent-based modelling models systems as an interaction between different units, or agents. An example would be something like SimCity. In a review in Annals of
Computational Models
Computing modelling and photosynthesis
One way to improve crop yields is to improve photosynthesis, but how can scientists do this? Alexandrina Stirbet and colleagues review mathematical modelling as a tool
Computational Models
Two decades of “virtual” plant simulations: what’s next?
The FSPM approach has demonstrated considerable progress, but has yet to reach its full potential in terms of integration and heuristic knowledge production.
Computational Models
Floras of the Future: A look at Flora of North America Online
Staying up to date and making all treatments machine-readable will broaden the project’s appeal, but it’s no small feat.
Cells, Genes & Molecules
Transferring annotation information between species through machine learning
A new machine learning strategy allows genomic knowledge to be transferred from information-rich to information-poor species.
Cells, Genes & Molecules
A new tool for discovering transcriptional regulators of co-expressed genes
TF DEACoN is an in silico “screen” to identify candidate transcription factors using a public database.