BioCro II: a software package for modular crop growth simulations

Author:

Lochocki Edward B1ORCID,Rohde Scott1,Jaiswal Deepak123,Matthews Megan L14ORCID,Miguez Fernando5,Long Stephen P1678ORCID,McGrath Justin M169ORCID

Affiliation:

1. Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana–Champaign, Urbana, IL 61801, USA

2. Environmental Sciences and Sustainable Engineering Center, Indian Institute of Technology Palakkad, Palakkad, Kerala 678557, India

3. Department of Civil Engineering, Indian Institute of Technology Palakkad, Palakkad, Kerala 678557, India

4. Department of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL 61801, USA

5. Department of Agronomy, Iowa State University, Ames, IA 50011, USA

6. Plant Biology Department, University of Illinois, Urbana–Champaign, Urbana, IL 61801, USA

7. Crop Sciences Department, University of Illinois, Urbana–Champaign, Urbana, IL 61801, USA

8. Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK

9. USDA ARS Global Change and Photosynthesis Research Unit, Urbana, IL 61801, USA

Abstract

Abstract The central motivation for mechanistic crop growth simulation has remained the same for decades: to reliably predict changes in crop yields and water usage in response to previously unexperienced increases in air temperature and CO2 concentration across different environments, species and genotypes. Over the years, individual process-based model components have become more complex and specialized, increasing their fidelity but posing a challenge for integrating them into powerful multiscale models. Combining models is further complicated by the common strategy of hard-coding intertwined parameter values, equations, solution algorithms and user interfaces, rather than treating these each as separate components. It is clear that a more flexible approach is now required. Here we describe a modular crop growth simulator, BioCro II. At its core, BioCro II is a cross-platform representation of models as sets of equations. This facilitates modularity in model building and allows it to harness modern techniques for numerical integration and data visualization. Several crop models have been implemented using the BioCro II framework, but it is a general purpose tool and can be used to model a wide variety of processes.

Funder

Bill and Melinda Gates Foundation

Foundation for Food and Agriculture Research

Foreign, Commonwealth and Development Office

FFAR

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Agronomy and Crop Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Modeling and Simulation

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