Mechanistic Modelling of Carbon Partitioning

Minchin, P. E. H.

doi:10.1007/1-4020-6034-3_10

Cited by 13 publications

(7 citation statements)

References 34 publications

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“…For instance, at temperate and boreal latitudes, C is withdrawn from storage at the beginning of the growing season to support cambial activity and shoot growth. Plants also prioritize C sinks, ranking their importance, for example, seeds > leaves > cambium > roots > storage (Minchin, ), although the ranking is not static and likely to change with phenology, plant age and plant stress (e.g. drought, defoliation).…”

Section: Ways Forwardmentioning

confidence: 99%

Moving beyond photosynthesis: from carbon source to sink‐driven vegetation modeling

2013

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Section: Ways Forwardmentioning

confidence: 99%

Moving beyond photosynthesis: from carbon source to sink‐driven vegetation modeling

2013

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“…However, the presence of relays remains hypothetical at the moment as there has been no substantial experimental evidence in favour or against the existence of solute relays, although continuous leakage and reloading of solutes has been observed along the phloem translocation pathway (Minchin and Thorpe, 1987;McQueen et al, 2005;Thorpe and Minchin, 1996). Nevertheless, a theoretical treatment of the subject of solute relays is still important (Minchin 2007).…”

Section: Accepted Manuscript 4 Linking Powered By Extmentioning

confidence: 99%

Linking phloem function to structure: Analysis with a coupled xylem–phloem transport model

Hölttä

Mencuccini

Nikinmaa

2009

Journal of Theoretical Biology

202

188

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Cite this article as: T. Hölttä, M. Mencuccini and E. Nikinmaa, Linking phloem function to structure: Analysis with a coupled xylem-phloem transport model, Journal of Theoretical Biology (2009Biology ( ), doi:10.1016Biology ( /j.jtbi.2009 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. We carried out a theoretical analysis of phloem transport based on Münch hypothesis by developing a coupled xylem-phloem transport model. Results showed that the maximum sugar transport rate of the phloem was limited by solution viscosity and that transport requirements were strongly affected by prevailing xylem water potential. The minimum number of xylem and phloem conduits required to sustain transpiration and assimilation, respectively, were calculated. At its maximum sugar transport rate, the phloem functioned with a high turgor pressure difference between the sugar sources and sinks but the turgor pressure difference was reduced if additional parallel conduits were added or solute relays were introduced. Solute relays were shown to decrease the number of parallel sieve tubes needed for phloem transport, leading to a more uniform turgor pressure and allowing faster information transmission within the phloem. Because xylem water potential affected both xylem and phloem transport, the conductance of the two systems was found to be coupled such that large structural investments in the xylem reduced the need for investment in the phloem and vice versa.

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“…Beyond biological control, the ability to use L-systems to couple structure with function has led to a diverse community of researchers who are focussed on understanding and modelling the interactions between plant structure and function. The most established models focus on the partitioning of nutrients and hormones within a plant (Minchin, 2007;Prusinkiewicz et al, 2009), with a particular emphasis on forestry and woody plants (Perttunen et al, 1998). FSPMs have also been used to examine topics such as the genetic control of plant development (Dun et al, 2007;Bilsborough et al, 2011), light capture and interception (Evers et al, 2007) and plant manipulation, such as pruning or training, (Costes et al, 2006).…”

Section: Virtual Plants: a Digital Laboratorymentioning

confidence: 99%

Chasing the Dream: A Systems Modelling Approach to Biological Control

Skirvin¹

2011

Acta Hortic.

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Sustainable production with reduced reliance on pesticides places some big demands on the effectiveness of biological control of pest and disease problems within horticultural production systems. There is currently a need to integrate and synthesise knowledge from all aspects of the production system to determine the most effective strategies for biological control of pests and disease. For this a systems-based modelling approach is appropriate, due to the inclusive nature of this approach and its focus on understanding processes and their interactions. The development of a systems approach for biological control in horticulture is incredibly daunting due to the huge diversity of crops, pests, natural enemies and production practices in horticulture. New and up-and-coming sensor and production technologies combined with new modelling approaches have however, great potential to either simplify the system to a manageable level or provide a common framework for modelling that will greatly enhance the ability to take a systems approach to coping with reduced pesticides. Current models are primarily oriented towards enhancing the understanding of a system and its processes, however, often with limited focus on producing practically useful outcomes. For the future, there will be a need to translate research models into practically useful tools, through the simplification of the research models, so that there is rapid transfer of knowledge and understanding from researchers to growers.

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Mechanistic Modelling of Carbon Partitioning

Cited by 13 publications

References 34 publications

Moving beyond photosynthesis: from carbon source to sink‐driven vegetation modeling

Moving beyond photosynthesis: from carbon source to sink‐driven vegetation modeling

Linking phloem function to structure: Analysis with a coupled xylem–phloem transport model

Chasing the Dream: A Systems Modelling Approach to Biological Control

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