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

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Master 9 16%
Student > Ph. D. Student 7 12%
Professor > Associate Professor 4 7%
Other 4 7%
Other 7 12%
Unknown 14 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 43%
Biochemistry, Genetics and Molecular Biology 3 5%
Engineering 2 3%
Business, Management and Accounting 1 2%
Computer Science 1 2%
Other 4 7%
Unknown 22 38%
Attention Score in Context

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
#14,783,193
of 25,373,627 outputs
Outputs from Plant Methods
#668
of 1,262 outputs
Outputs of similar age
#186,491
of 346,160 outputs
Outputs of similar age from Plant Methods
#4
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 346,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.