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.
Rachel Shekar
138 posts
Rachel (she/her) is a Founding and Managing Editor of in silico Plants. She has a Master’s Degree in Plant Biology from the University of Illinois. She has over 15 years of academic journal editorial
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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.
Modelling Three-Dimensional Leaf Shape Variation
L-Cucumber’s leaf prototype mimics leaf shape of stressed plants.
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