The use of mechanistic crop models can optimize the efficiency of breeding programs.
Author - Rachel Shekar
Rachel Shekar
Quantification of pasture ground cover and botanical composition for sustainable grazing management
A combination of high resolution multi-spectral imagery and supervised learning effectively distinguishes between pasture species and seasonal changes in botanical composition.
Target enzymes for improved photosynthesis
Modeling the activity of enzymes in the Calvin Benson Cycle identifies key enzymes to improve photosynthesis.
The Role of Adaptive Strategies in Plant Modelling
How can plant modelers introduce a genetic dimension into physiological models at different organizational scales in a meaningful way?
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.
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.
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.
‘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.
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.
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.
Modelling practices that support crop improvement
Credibility and transdisciplinarity play crucial roles in modelling to advance crop adaptation and plant improvement.
Key Eucalyptus traits for high yield under climate change identified
Global sensitivity analysis was used to identify key traits for Eucalyptus adaptation to climate variability and change in Brazil.
in silico Plants Maximizes the Visibility of Your Paper
Having your paper accepted is not the end of the production process.
in silico Plants now listed on Directory of Open Access Journals
Listing in Directory of Open Access Journals verifies isP’s high level of openness and adherence to best practice and also increases your article’s discoverability. in silico Plants is proud to announce that it is now...
