Editors
Karine Chenu
Stephen Long
Amy Marshall-Colon
Przemyslaw Prusinkiewicz
Rachel Shekar
Xin-Guang Zhu
Publish with in silico Plants
in silico Plants (isP) is an open-access, peer reviewed online journal dealing with all aspects of plant modelling. The journal aims to provide a single home for work from currently disparate research areas, publishing interdisciplinary, multidisciplinary and cross-disciplinary research at the interface between mathematics, computer science, ‘omics, plant biology, crop science, ecology, and forestry.
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Authors interested in publishing in in silico Plants may be able to publish their paper Open Access using funds available through their institution’s agreement with OUP.
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in silico Plants is seeking submissions to several upcoming virtual special issues.
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Special Issue: Functional-Structural Plant Models
This special issue focuses on recent advances in FSPMs dealing with plant ecophysiology, phenotyping, biophysics, morphogenesis and data sciences, and provides biological insights of plants, from cellular to canopy level.
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Special Issues Archive
in silico Plants is committed to producing high-quality special issues on a wide range of topics in the plant sciences.
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Most Cited
The interaction between carbon and flows within the vasculature is at the centre of most growth and developmental processes. Understanding how these fluxes influence each other, and how they respond to heterogeneous environmental conditions, is important to answer diverse questions in agricultural ...
Plant specialized metabolites mediate interactions between plants and the environment and have significant agronomical/pharmaceutical value. Most genes involved in specialized metabolism (SM) are unknown because of the large number of metabolites and the challenge in differentiating SM genes from ...
Eucalyptus -breeding efforts have been made to identify clones of superior performance for growth and yield and how they will interact with global climate changes. This study performs a global sensitivity analysis for assessing the impact of genetic traits on Eucalyptus yield across contrasting ...
Plant-breeding programs are designed and operated over multiple cycles to systematically change the genetic makeup of plants to achieve improved trait performance for a Target Population of Environments (TPE). Within each cycle, selection applied to the standing genetic variation within a ...
In silico plant modelling is the use of dynamic crop simulation models to evaluate hypothetical plant traits (phenology, processes and plant architecture) that will enhance crop growth and yield for a defined target environment and crop management (weather, soils, limited resource). To be useful ...
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Legume plants such as soybean produce two major types of root lateral organs, lateral roots and root nodules. A robust computational framework was developed to predict potential gene regulatory networks (GRNs) associated with root lateral organ development in soybean. A genome-scale expression data ...
Gene regulatory networks (GRNs) are defined by a cascade of transcriptional events by which signals, such as hormones or environmental cues, change development. To understand these networks, it is necessary to link specific transcription factors (TFs) to the downstream gene targets whose expression ...
The downside risk of crop production affects the entire supply chain of the agricultural industry nationally and globally. This also has a profound impact on food security, and thus livelihoods, in many parts of the world. The advent of high temporal, spatial and spectral resolution remote sensing ...
Plant phenotypes are often descriptive, rather than predictive of crop performance. As a result, extensive testing is required in plant breeding programmes to develop varieties aimed at performance in the target environments. Crop models can improve this testing regime by providing a predictive ...
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isP is listed on Directory of Open Access Journals
isP is 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.
Meet the Editors
Meet the Editors
isP is edited by a panel of high-profile founding editors: Stephen Long (Chief, Illinois & Lancaster), Karine Chenu (Queensland), Amy Marshall-Colon (Illinois), Przemyslaw Prusinkiewicz (Calgary), and Xin-Guang Zhu (Shanghai).
isP on Youtube
Maize Reproductive Failure under Drought Quantified
A short introduction to "On the Dynamic Determinants of Reproductive Failure under Drought in Maize", by Carlos D Messina, Graeme L Hammer, Greg McLean, Mark Cooper, Erik J van Oosterom, Francois Tardieu, Scott C Chapman, Alastair Doherty, and Carla Gho.
Dynamic modeling of the iron deficiency in plants
A short introduction to "Dynamic modeling of the iron deficiency modulated transcriptome response in Arabidopsis thaliana roots", by Alexandr Koryachko, Anna Matthiadis, Samiul Haque, Durreshahwar Muhammad, Joel J Ducoste, James M Tuck, Terri A Long, and Cranos M Williams.
The modelling, allocation and redistribution of biomass
A short introduction to "A generic approach to modelling the allocation and redistribution of biomass to and from plant organs", by Hamish E Brown, Neil I Huth, Dean P Holzworth, Edmar I Teixeira, Enli Wang, Rob F Zyskowski, Bangyou Zheng.
in silico Plants on Youtube
Visit the isP Youtube channel to watch more videos which provide short introductions to key pieces of research.
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