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Quantification of Root Growth Patterns From the Soil Perspective via Root Distance Models

Overview of attention for article published in Frontiers in Plant Science, July 2018
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Title
Quantification of Root Growth Patterns From the Soil Perspective via Root Distance Models
Published in
Frontiers in Plant Science, July 2018
DOI 10.3389/fpls.2018.01084
Pubmed ID
Authors

Steffen Schlüter, Sebastian R. G. A. Blaser, Matthias Weber, Volker Schmidt, Doris Vetterlein

Abstract

The rhizosphere, the fraction of soil altered by plant roots, is a dynamic domain that rapidly changes during plant growth. Traditional approaches to quantify root growth patterns are very limited in estimating this transient extent of the rhizosphere. In this paper we advocate the analysis of root growth patterns from the soil perspective. This change of perspective addresses more directly how certain root system architectures facilitate the exploration of soil. For the first time, we propose a parsimonious root distance model with only four parameters which is able to describe root growth patterns throughout all stages in the first 3 weeks of growth of Vicia faba measured with X-ray computed tomography. From these models, which are fitted to the frequency distribution of root distances in soil, it is possible to estimate the rhizosphere volume, i.e., the volume fraction of soil explored by roots, and adapt it to specific interaction distances for water uptake, rhizodeposition, etc. Through 3D time-lapse imaging and image registration it is possible to estimate root age dependent rhizosphere volumes, i.e., volumes specific for certain root age classes. These root distance models are a useful abstraction of complex root growth patterns that provide complementary information on root system architecture unaddressed by traditional root system analysis, which is helpful to constrain dynamic root growth models to achieve more realistic results.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 10 19%
Student > Master 7 13%
Student > Doctoral Student 3 6%
Lecturer > Senior Lecturer 2 4%
Other 6 11%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 32%
Environmental Science 8 15%
Engineering 6 11%
Earth and Planetary Sciences 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 15 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2018.
All research outputs
#20,529,980
of 23,099,576 outputs
Outputs from Frontiers in Plant Science
#16,592
of 20,724 outputs
Outputs of similar age
#288,198
of 329,805 outputs
Outputs of similar age from Frontiers in Plant Science
#418
of 480 outputs
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So far Altmetric has tracked 20,724 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.