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Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops

Overview of attention for article published in Frontiers in Plant Science, November 2016
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Citations

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184 Dimensions

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363 Mendeley
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Title
Root System Architecture and Abiotic Stress Tolerance: Current Knowledge in Root and Tuber Crops
Published in
Frontiers in Plant Science, November 2016
DOI 10.3389/fpls.2016.01584
Pubmed ID
Authors

M. A. Khan, Dorcus C. Gemenet, Arthur Villordon

Abstract

The challenge to produce more food for a rising global population on diminishing agricultural land is complicated by the effects of climate change on agricultural productivity. Although great progress has been made in crop improvement, so far most efforts have targeted above-ground traits. Roots are essential for plant adaptation and productivity, but are less studied due to the difficulty of observing them during the plant life cycle. Root system architecture (RSA), made up of structural features like root length, spread, number, and length of lateral roots, among others, exhibits great plasticity in response to environmental changes, and could be critical to developing crops with more efficient roots. Much of the research on root traits has thus far focused on the most common cereal crops and model plants. As cereal yields have reached their yield potential in some regions, understanding their root system may help overcome these plateaus. However, root and tuber crops (RTCs) such as potato, sweetpotato, cassava, and yam may hold more potential for providing food security in the future, and knowledge of their root system additionally focuses directly on the edible portion. Root-trait modeling for multiple stress scenarios, together with high-throughput phenotyping and genotyping techniques, robust databases, and data analytical pipelines, may provide a valuable base for a truly inclusive 'green revolution.' In the current review, we discuss RSA with special reference to RTCs, and how knowledge on genetics of RSA can be manipulated to improve their tolerance to abiotic stresses.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 362 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 18%
Researcher 53 15%
Student > Master 45 12%
Student > Bachelor 33 9%
Student > Doctoral Student 25 7%
Other 36 10%
Unknown 107 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 43%
Biochemistry, Genetics and Molecular Biology 40 11%
Environmental Science 11 3%
Social Sciences 5 1%
Engineering 4 1%
Other 24 7%
Unknown 123 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 April 2023.
All research outputs
#8,176,150
of 24,674,524 outputs
Outputs from Frontiers in Plant Science
#5,307
of 23,478 outputs
Outputs of similar age
#116,057
of 317,609 outputs
Outputs of similar age from Frontiers in Plant Science
#71
of 425 outputs
Altmetric has tracked 24,674,524 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 23,478 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 76% 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 317,609 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 63% of its contemporaries.
We're also able to compare this research output to 425 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.