Literature DB >> 21631538

Links between root developmental traits and foraging performance.

Loïc Pagès1.   

Abstract

We designed a simple dynamic and stochastic architectural model with six parameters to link the foraging performance of root systems to their developmental processes. Soil foraging was quantified by the volume enveloping the roots until a given uptake distance. Many simulated architectures were obtained by combining four different values for each parameter. The rate of soil colonization was mainly defined by individual root elongation rates and interbranch distances. Less intuitively, we showed that differentiation of elongation rates among the roots increased this colonization rate. Uptake efficiency--the ratio of the actual colonized volume to the volume of a unique cylinder with the same length and a radius corresponding to the uptake distance--declined with root system size. Nevertheless, large variations in efficiency existed among root systems for a given size, typically in a 4- to 10-fold range. Therefore, the 'efficiency gain' was defined as the deviation from the average trend in efficiency versus size. Between-root differentiation in elongation rates increased this gain. The level of hierarchy between mother and lateral roots, as well as the variation of elongation rates among lateral roots, was also shown to contribute to this optimization. Several parameter combinations could lead to similar efficiency gains.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21631538     DOI: 10.1111/j.1365-3040.2011.02371.x

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  12 in total

1.  Relationships between root diameter, root length and root branching along lateral roots in adult, field-grown maize.

Authors:  Qian Wu; Loïc Pagès; Jie Wu
Journal:  Ann Bot       Date:  2016-01-07       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.  Branching patterns of root systems: quantitative analysis of the diversity among dicotyledonous species.

Authors:  Loïc Pagès
Journal:  Ann Bot       Date:  2014-07-25       Impact factor: 4.357

4.  Branching patterns of root systems: comparison of monocotyledonous and dicotyledonous species.

Authors:  Loïc Pagès
Journal:  Ann Bot       Date:  2016-09-15       Impact factor: 4.357

5.  Seeking stable traits to characterize the root system architecture. Study on 60 species located at two sites in natura.

Authors:  Loïc Pagès; Jocelyne Kervella
Journal:  Ann Bot       Date:  2018-06-28       Impact factor: 4.357

6.  CRootBox: a structural-functional modelling framework for root systems.

Authors:  Andrea Schnepf; Daniel Leitner; Magdalena Landl; Guillaume Lobet; Trung Hieu Mai; Shehan Morandage; Cheng Sheng; Mirjam Zörner; Jan Vanderborght; Harry Vereecken
Journal:  Ann Bot       Date:  2018-04-18       Impact factor: 4.357

7.  A New Phenotyping Pipeline Reveals Three Types of Lateral Roots and a Random Branching Pattern in Two Cereals.

Authors:  Sixtine Passot; Beatriz Moreno-Ortega; Daniel Moukouanga; Crispulo Balsera; Soazig Guyomarc'h; Mikael Lucas; Guillaume Lobet; Laurent Laplaze; Bertrand Muller; Yann Guédon
Journal:  Plant Physiol       Date:  2018-05-11       Impact factor: 8.340

8.  Soil Tillage Management Affects Maize Grain Yield by Regulating Spatial Distribution Coordination of Roots, Soil Moisture and Nitrogen Status.

Authors:  Xinbing Wang; Baoyuan Zhou; Xuefang Sun; Yang Yue; Wei Ma; Ming Zhao
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

9.  Capturing 3D Water Flow in Rooted Soil by Ultra-fast Neutron Tomography.

Authors:  Christian Tötzke; Nikolay Kardjilov; Ingo Manke; Sascha E Oswald
Journal:  Sci Rep       Date:  2017-07-21       Impact factor: 4.379

10.  Aristotle and adding an evolutionary perspective to models of plant architecture in changing environments.

Authors:  Michael Renton
Journal:  Front Plant Sci       Date:  2013-07-31       Impact factor: 5.753

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