Evidence map›Paper›PMID 32025056›Full record

ArticlePlant and soil2017

Methods to estimate changes in soil water for phenotyping root activity in the field.

W R Whalley, A Binley, C W Watts, P Shanahan, I C Dodd, E S Ober, R W Ashton, C P Webster, R P White, M J Hawkesford

Abstract read
In one paragraph

Article in Plant and soil, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
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  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Wheat root systems as a breeding target for climate resilience.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  13. Article
  14. Deficit Alternate Drip Irrigation Increased Root-Soil-Plant Interaction, Tomato Yield, and Quality.International journal of environmental research and public health · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review: New sensors and data-driven approaches-A path to next generation phenomics.Plant science : an international journal of experimental plant biology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

W R Whalley1Rothamsted Research, Harpenden, AL5 2JQ UK.
A Binley2Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ UK.
C W Watts1Rothamsted Research, Harpenden, AL5 2JQ UK.
P Shanahan2Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ UK.
I C Dodd2Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ UK.
E S Ober3NIAB, Huntingdon Road, Cambridge, CB3 0LE UK.
R W Ashton1Rothamsted Research, Harpenden, AL5 2JQ UK.
C P Webster1Rothamsted Research, Harpenden, AL5 2JQ UK.
R P White1Rothamsted Research, Harpenden, AL5 2JQ UK.
M J Hawkesford1Rothamsted Research, Harpenden, AL5 2JQ UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThere is an urgent need to develop new high throughput approaches to phenotype roots in the field. Excavating roots to make direct measurements is labour intensive. An alternative to excavation is to measure soil drying profiles and to infer root activity.

methodsWe grew 23 lines of wheat in 2013, 2014 and 2015. In each year we estimated soil water profiles with electrical resistance tomography (ERT), electromagnetic inductance (EMI), penetrometer measurements and measurements of soil water content. We determined the relationships between the measured variable and soil water content and matric potential.

resultsWe found that ERT and penetrometer measurements were closely related to soil matric potential and produced the best discrimination between wheat lines. We found genotypic differences in depth of water uptake in soil water profiles and in the extent of surface drying.

conclusionsPenetrometer measurements can provide a reliable approach to comparing soil drying profiles by different wheat lines, and genotypic rankings are repeatable across years. EMI, which is more sensitive to soil water content than matric potential, and is less effective in drier soils than the penetrometer or ERT, nevertheless can be used to rapidly screen large populations for differences in root activity.

Indexed as

EMIERTPenetrometerPhenotypingRootsSoil water profiles

Identifiers

PMID32025056
PMCPMC6979655

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.