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RADIX: rhizoslide platform allowing high throughput digital image analysis of root system expansion

Overview of attention for article published in Plant Methods, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

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5 tweeters

Citations

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9 Dimensions

Readers on

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31 Mendeley
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Title
RADIX: rhizoslide platform allowing high throughput digital image analysis of root system expansion
Published in
Plant Methods, January 2016
DOI 10.1186/s13007-016-0140-8
Pubmed ID
Authors

Le Marié, Chantal, Kirchgessner, Norbert, Flütsch, Patrick, Pfeifer, Johannes, Walter, Achim, Hund, Andreas, Chantal Le Marié, Norbert Kirchgessner, Patrick Flütsch, Johannes Pfeifer, Achim Walter, Andreas Hund

Abstract

Phenotyping of genotype-by-environment interactions in the root-zone is of major importance for crop improvement as the spatial distribution of a plant's root system is crucial for a plant to access water and nutrient resources of the soil. However, so far it is unclear to what extent genetic variations in root system responses to spatially varying soil resources can be utilized for breeding applications. Among others, one limiting factor is the absence of phenotyping platforms allowing the analysis of such interactions. We developed a system that is able to (a) monitor root and shoot growth synchronously, (b) investigate their dynamic responses and (c) analyse the effect of heterogeneous N distribution to parts of the root system in a split-nutrient setup with a throughput (200 individual maize plants at once) sufficient for mapping of quantitative trait loci or for screens of multiple environmental factors. In a test trial, 24 maize genotypes were grown under split nitrogen conditions and the response of shoot and root growth was investigated. An almost double elongation rate of crown and lateral roots was observed under high N for all genotypes. The intensity of genotype-specific responses varied strongly. For example, elongation of crown roots differed almost two times between the fastest and slowest growing genotype. A stronger selective root placement in the high-N compartment was related to an increased shoot development indicating that early vigour might be related to a more intense foraging behaviour. To our knowledge, RADIX is the only system currently existing which allows studying the differential response of crown roots to split-nutrient application to quantify foraging behaviour in genome mapping or selection experiments. In doing so, changes in root and shoot development and the connection to plant performance can be investigated.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Other 3 10%
Professor > Associate Professor 3 10%
Other 4 13%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 58%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Arts and Humanities 1 3%
Psychology 1 3%
Other 3 10%
Unknown 5 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 September 2016.
All research outputs
#3,496,244
of 8,389,481 outputs
Outputs from Plant Methods
#135
of 291 outputs
Outputs of similar age
#97,230
of 253,022 outputs
Outputs of similar age from Plant Methods
#1
of 2 outputs
Altmetric has tracked 8,389,481 research outputs across all sources so far. This one has received more attention than most of these and is in the 57th percentile.
So far Altmetric has tracked 291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,022 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them