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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

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Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform.

Amy Marshall-Colon¹, Stephen P Long^1,2,3, Douglas K Allen⁴

¹Department of Plant Biology, University of Illinois at Urbana-Champaign, UrbanaIL, USA.

Frontiers in Plant Science

|May 31, 2017

Summary

A new integrated modeling platform, Crops in silico, connects isolated plant science efforts. This aims to accelerate crop yield improvements and enhance food security through virtual crop development and better environmental response predictions.

Keywords:

computational framework crop yield integration model multiscale

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Area of Science:

Plant biology
Computational biology
Systems biology

Background:

Multi-scale models link biological processes from genes to whole plants.
Integrating plant models with environmental models predicts responses to perturbations.
Current isolated efforts limit progress in crop improvement and understanding.

Purpose of the Study:

Introduce Crops in silico, an integrative, multi-scale modeling platform.
Unify isolated plant modeling efforts to create virtual crops.
Provide an open, accessible resource for the plant biology community.

Main Methods:

Development of an integrative and multi-scale modeling platform.
Community engagement through symposia and workshops to identify challenges.
Leveraging advances in high-performance computing and mechanistic plant understanding.

Main Results:

Identified major challenges in developing and deploying a shared modeling platform.
Established a framework for connecting gene networks, metabolism, physiology, and growth.
Facilitated the generation of virtual crops for research and development.

Conclusions:

A paradigm shift towards a connected community in plant modeling is needed.
Crops in silico offers a solution for integrated, multi-scale plant simulations.
This platform can accelerate crop yield, sustainability, and food security.