Literature DB >> 15869648

Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model.

M T Allen1, P Prusinkiewicz, T M DeJong.   

Abstract

Functional-structural plant models simulate the development of plant structure, taking into account plant physiology and environmental factors. The L-PEACH model is based on the development of peach trees. It demonstrates the usefulness of L-systems in constructing functional-structural models. L-PEACH uses L-systems both to simulate the development of tree structure and to solve differential equations for carbohydrate flow and allocation. New L-system-based algorithms are devised for simulating the behavior of dynamically changing structures made of hundreds of interacting, time-varying, nonlinear components. L-PEACH incorporates a carbon-allocation model driven by source-sink interactions between tree components. Storage and mobilization of carbohydrates during the annual life cycle of a tree are taken into account. Carbohydrate production in the leaves is simulated based on the availability of water and light. Apices, internodes, leaves and fruit grow according to the resulting local carbohydrate supply. L-PEACH outputs an animated three-dimensional visual representation of the growing tree and user-specified statistics that characterize selected stages of plant development. The model is applied to simulate a tree's response to fruit thinning and changes in water stress. L-PEACH may be used to assist in horticultural decision-making processes after being calibrated to specific trees.

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Year:  2005        PMID: 15869648     DOI: 10.1111/j.1469-8137.2005.01348.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  58 in total

1.  Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons?

Authors:  MengZhen Kang; LiLi Yang; BaoGui Zhang; Philippe de Reffye
Journal:  Ann Bot       Date:  2010-12-23       Impact factor: 4.357

2.  Simulation of the evolution of root water foraging strategies in dry and shallow soils.

Authors:  Michael Renton; Pieter Poot
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

3.  Computing competition for light in the GREENLAB model of plant growth: a contribution to the study of the effects of density on resource acquisition and architectural development.

Authors:  Paul-Henry Cournède; Amélie Mathieu; François Houllier; Daniel Barthélémy; Philippe de Reffye
Journal:  Ann Bot       Date:  2007-11-23       Impact factor: 4.357

4.  Does the structure-function model GREENLAB deal with crop phenotypic plasticity induced by plant spacing? A case study on tomato.

Authors:  Qiaoxue Dong; Gaëtan Louarn; Yiming Wang; Jean-Francois Barczi; Philippe de Reffye
Journal:  Ann Bot       Date:  2008-01-16       Impact factor: 4.357

5.  Using a 3-D virtual sunflower to simulate light capture at organ, plant and plot levels: contribution of organ interception, impact of heliotropism and analysis of genotypic differences.

Authors:  Hervé Rey; Jean Dauzat; Karine Chenu; Jean-François Barczi; Guillermo A A Dosio; Jérémie Lecoeur
Journal:  Ann Bot       Date:  2008-01-24       Impact factor: 4.357

6.  AmapSim: a structural whole-plant simulator based on botanical knowledge and designed to host external functional models.

Authors:  Jean-François Barczi; Hervé Rey; Yves Caraglio; Philippe de Reffye; Daniel Barthélémy; Qiao Xue Dong; Thierry Fourcaud
Journal:  Ann Bot       Date:  2007-08-31       Impact factor: 4.357

7.  A three-dimensional statistical reconstruction model of grapevine (Vitis vinifera) simulating canopy structure variability within and between cultivar/training system pairs.

Authors:  Gaëtan Louarn; Jérémie Lecoeur; Eric Lebon
Journal:  Ann Bot       Date:  2008-01-16       Impact factor: 4.357

8.  Using virtual plants to analyse the light-foraging efficiency of a low-density cotton crop.

Authors:  Jean Dauzat; Pascal Clouvel; Delphine Luquet; Pierre Martin
Journal:  Ann Bot       Date:  2008-01-08       Impact factor: 4.357

9.  Roles for auxin, cytokinin, and strigolactone in regulating shoot branching.

Authors:  Brett J Ferguson; Christine A Beveridge
Journal:  Plant Physiol       Date:  2009-02-13       Impact factor: 8.340

10.  Plant growth modelling and applications: the increasing importance of plant architecture in growth models.

Authors:  Thierry Fourcaud; Xiaopeng Zhang; Alexia Stokes; Hans Lambers; Christian Körner
Journal:  Ann Bot       Date:  2008-04-03       Impact factor: 4.357

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