Evidence map›Paper›PMID 34870229›Full record

ArticlePlant phenomics (Washington, D.C.)2021

Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging.

M R Shao, N Jiang, M Li, A Howard, K Lehner, J L Mullen, S L Gunn, J K McKay, C N Topp

Open access · goldAbstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 4% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pearl millet response to drought: A review.Frontiers in plant science · 2023
    Pooled it
  2. Article
  3. Review
  4. AnFrontiers in plant science · 2026
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  7. Article
  8. Article
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  11. Recent trends in root phenomics of plant systems with available methods- discrepancies and consonances.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Article
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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

9 authors at 2 institutions in 1 country.

M R ShaoDonald Danforth Plant Science Center, Saint Louis, MO, USA.ORCID https://orcid.org/0000-0003-0773-7024
N JiangDonald Danforth Plant Science Center, Saint Louis, MO, USA.ORCID https://orcid.org/0000-0001-7997-7655
M LiDonald Danforth Plant Science Center, Saint Louis, MO, USA.ORCID https://orcid.org/0000-0002-5964-1764
A HowardDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, USA.
K LehnerDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, USA.
J L MullenDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, USA.
S L GunnDonald Danforth Plant Science Center, Saint Louis, MO, USA.ORCID https://orcid.org/0000-0003-2299-7035
J K McKayDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO, USA.ORCID https://orcid.org/0000-0003-4311-5513
C N ToppDonald Danforth Plant Science Center, Saint Louis, MO, USA.ORCID https://orcid.org/0000-0001-9228-6752
Donald Danforth Plant Science Center · USColorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The root system is critical for the survival of nearly all land plants and a key target for improving abiotic stress tolerance, nutrient accumulation, and yield in crop species. Although many methods of root phenotyping exist, within field studies, one of the most popular methods is the extraction and measurement of the upper portion of the root system, known as the root crown, followed by trait quantification based on manual measurements or 2D imaging. However, 2D techniques are inherently limited by the information available from single points of view. Here, we used X-ray computed tomography to generate highly accurate 3D models of maize root crowns and created computational pipelines capable of measuring 71 features from each sample. This approach improves estimates of the genetic contribution to root system architecture and is refined enough to detect various changes in global root system architecture over developmental time as well as more subtle changes in root distributions as a result of environmental differences. We demonstrate that root pulling force, a high-throughput method of root extraction that provides an estimate of root mass, is associated with multiple 3D traits from our pipeline. Our combined methodology can therefore be used to calibrate and interpret root pulling force measurements across a range of experimental contexts or scaled up as a stand-alone approach in large genetic studies of root system architecture.

Identifiers

PMID34870229
PMCPMC8603028
OpenAlexW3213167105

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.