Special Issue "Plant Stress Physiology Modelling"

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editor

Prof. Dr. William L. Bauerle
E-Mail Website
Guest Editor
Department of Horticulture and Landscape Architecture, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA
Interests: plant ecophysiology; stress physiology; plant responses to climate change; multiple stress interactions; plant carbon and water exchange; spatially explicit physiological modelling; plant species intraspecific differences

Special Issue Information

Dear Colleagues,

Multiple environmental factors simultaneously influence plant growth and development. Plant responses to multiple stimuli are seldom uniform throughout the life of a plant. Because a multitude of factors and interactions are closely interwoven and plants are integrated biological entities, plant stress physiological modelling offers a means of understanding and predicting plant dynamic metabolic regulation.

Despite our current understanding of the concomitant responses, there are still open questions and challenges. For example, we lack the ability to adequately predict the impact of fluctuating stress exposure on plant performance. Moreover, we need to understand the environmental impact of discontinuous stress exposure on plant performance over the time frame of a plant’s life cycle. Mathematic biological approaches are needed to examine long‐term abiotic stress constraint in plants. Therefore, in this Special Issue, articles that focus on modeling physiological responses to fluctuating and/or discontinuous plant stress are welcome. Stress response assessments that are integrated over a plant’s life cycle are of special interest to understand the whole‐plant stress response mechanism.

Original research papers, perspectives, hypotheses, opinions, reviews, modeling approaches, and methods that focus on plant stress physiology modelling are welcome, describing dynamic physiological stress response modelling in model plants, crop plants, and tree species.

Prof. Dr. William L. Bauerle
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Plants is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate variability
  • dynamic stress
  • fluctuating response
  • mechanistic
  • modelling
  • intermittent stress
  • process
  • seasonality

Published Papers (1 paper)

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Research

Open AccessArticle
Simulation of Phosphorus Chemistry, Uptake and Utilisation by Winter Wheat
Plants 2019, 8(10), 404; https://doi.org/10.3390/plants8100404 - 09 Oct 2019
Abstract
The phosphorus (P) supply from soils is crucial to crop production. Given the complexity involved in P-cycling, a model that can simulate the major P-cycling processes and link with other nutrients and environmental factors, e.g., soil temperature and moisture, would be a useful [...] Read more.
The phosphorus (P) supply from soils is crucial to crop production. Given the complexity involved in P-cycling, a model that can simulate the major P-cycling processes and link with other nutrients and environmental factors, e.g., soil temperature and moisture, would be a useful tool. The aim of this study was to describe a process-based P module added to the SPACSYS (Soil Plant and Atmosphere Continuum System) model and to evaluate its predictive capability on the dynamics of P content in crops and the impact of soil P status on crop growth. A P-cycling module was developed and linked to other modules included in the SPACSYS model. We used a winter wheat (Triticum aestivum, cv Xi-19) field experiment at Rothamsted Research in Harpenden to calibrate and validate the model. Model performance statistics show that the model simulated aboveground dry matter, P accumulation and soil moisture dynamics reasonably well. Simulated dynamics of soil nitrate and ammonium were close to the observed data when P fertiliser was applied. However, there are large discrepancies in fields without P fertiliser. This study demonstrated that the SPACSYS model was able to investigate the interactions between carbon, nitrogen, P and water in a single process-based model after the tested P module was implemented. Full article
(This article belongs to the Special Issue Plant Stress Physiology Modelling)
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