Evidence map›Paper›PMID 30093527›Full record

ArticlePlant physiology2018

Components of Water Use Efficiency Have Unique Genetic Signatures in the Model C

Max J Feldman, Patrick Z Ellsworth, Noah Fahlgren, Malia A Gehan, Asaph B Cousins, Ivan Baxter

Abstract read
In one paragraph

Article in Plant physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Harnessing Setaria as a Model for CPlants (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Explainable deep learning in plant phenotyping.Frontiers in artificial intelligence · 2023
    Review
  11. Article
  12. Genetics as a key to improving crop photosynthesis.Journal of experimental botany · 2022
    Article
  13. Article
  14. Multi-omics intervention inFrontiers in plant science · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Max J FeldmanDonald Danforth Plant Science Center, St. Louis, Missouri 63132.ORCID 0000-0002-5415-4326
Patrick Z EllsworthSchool of Biological Sciences, Washington State University, Pullman, Washington 99164.ORCID 0000-0002-0795-5200
Noah FahlgrenDonald Danforth Plant Science Center, St. Louis, Missouri 63132.ORCID 0000-0002-5597-4537
Malia A GehanDonald Danforth Plant Science Center, St. Louis, Missouri 63132.ORCID 0000-0002-3238-2627
Asaph B CousinsSchool of Biological Sciences, Washington State University, Pullman, Washington 99164.
Ivan BaxterDonald Danforth Plant Science Center, St. Louis, Missouri 63132 ibaxter@danforthcenter.org.ORCID 0000-0001-6680-1722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant growth and water use are interrelated processes influenced by genetically controlled morphological and biochemical characteristics. Improving plant water use efficiency (WUE) to sustain growth in different environments is an important breeding objective that can improve crop yields and enhance agricultural sustainability. However, genetic improvement of WUE using traditional methods has proven difficult due to the low throughput and environmental heterogeneity of field settings. To overcome these limitations, this study utilizes a high-throughput phenotyping platform to quantify plant size and water use of an interspecific

Indexed as

Multifactorial InheritanceAllelesChromosome MappingGenotypePhenotypeSetaria PlantWaterWater

Identifiers

PMID30093527
PMCPMC6181048

What OpenQuestion holds

Textmetadata
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.