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Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops

Overview of attention for article published in Journal of Experimental Botany, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
4 X users
patent
2 patents

Citations

dimensions_citation
630 Dimensions

Readers on

mendeley
665 Mendeley
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1 CiteULike
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Title
Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops
Published in
Journal of Experimental Botany, May 2012
DOI 10.1093/jxb/ers111
Pubmed ID
Authors

A.P. Wasson, R.A. Richards, R. Chatrath, S.C. Misra, S.V. Sai Prasad, G.J. Rebetzke, J.A. Kirkegaard, J. Christopher, M. Watt

Abstract

Wheat yields globally will depend increasingly on good management to conserve rainfall and new varieties that use water efficiently for grain production. Here we propose an approach for developing new varieties to make better use of deep stored water. We focus on water-limited wheat production in the summer-dominant rainfall regions of India and Australia, but the approach is generally applicable to other environments and root-based constraints. Use of stored deep water is valuable because it is more predictable than variable in-season rainfall and can be measured prior to sowing. Further, this moisture is converted into grain with twice the efficiently of in-season rainfall since it is taken up later in crop growth during the grain-filling period when the roots reach deeper layers. We propose that wheat varieties with a deeper root system, a redistribution of branch root density from the surface to depth, and with greater radial hydraulic conductivity at depth would have higher yields in rainfed systems where crops rely on deep water for grain fill. Developing selection systems for mature root system traits is challenging as there are limited high-throughput phenotyping methods for roots in the field, and there is a risk that traits selected in the lab on young plants will not translate into mature root system traits in the field. We give an example of a breeding programme that combines laboratory and field phenotyping with proof of concept evaluation of the trait at the beginning of the selection programme. This would greatly enhance confidence in a high-throughput laboratory or field screen, and avoid investment in screens without yield value. This approach requires careful selection of field sites and years that allow expression of deep roots and increased yield. It also requires careful selection and crossing of germplasm to allow comparison of root expression among genotypes that are similar for other traits, especially flowering time and disease and toxicity resistances. Such a programme with field and laboratory evaluation at the outset will speed up delivery of varieties with improved root systems for higher yield.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 665 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 4 <1%
United States 3 <1%
Belgium 3 <1%
Germany 2 <1%
Argentina 2 <1%
United Kingdom 2 <1%
India 2 <1%
Canada 1 <1%
Slovenia 1 <1%
Other 4 <1%
Unknown 641 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 148 22%
Researcher 110 17%
Student > Master 79 12%
Student > Doctoral Student 53 8%
Student > Bachelor 48 7%
Other 112 17%
Unknown 115 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 388 58%
Environmental Science 41 6%
Biochemistry, Genetics and Molecular Biology 36 5%
Earth and Planetary Sciences 15 2%
Engineering 7 1%
Other 35 5%
Unknown 143 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 20 February 2024.
All research outputs
#2,381,357
of 25,362,278 outputs
Outputs from Journal of Experimental Botany
#525
of 7,214 outputs
Outputs of similar age
#14,347
of 175,719 outputs
Outputs of similar age from Journal of Experimental Botany
#2
of 48 outputs
Altmetric has tracked 25,362,278 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 92% 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 175,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.