Evidence map›Paper›PMID 37040284›Full record

ArticlePlant phenomics (Washington, D.C.)2023

Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean.

Christopher Ys Wong, Matthew E Gilbert, Marshall A Pierce, Travis A Parker, Antonia Palkovic, Paul Gepts, Troy S Magney, Thomas N Buckley

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  3. Review
  4. Colored Leaves ofACS omega · 2026
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  9. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  10. Article
  11. Article
  12. Article
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  18. Biocultural diversity and crop improvement.Emerging topics in life sciences · 2023
    Review
  19. The Identification ofFoods (Basel, Switzerland) · 2023
    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

8 authors.

Christopher Ys WongDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Matthew E GilbertDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Marshall A PierceDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Travis A ParkerDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Antonia PalkovicDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Paul GeptsDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Troy S MagneyDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
Thomas N BuckleyDepartment of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proximal remote sensing offers a powerful tool for high-throughput phenotyping of plants for assessing stress response. Bean plants, an important legume for human consumption, are often grown in regions with limited rainfall and irrigation and are therefore bred to further enhance drought tolerance. We assessed physiological (stomatal conductance and predawn and midday leaf water potential) and ground- and tower-based hyperspectral remote sensing (400 to 2,400 nm and 400 to 900 nm, respectively) measurements to evaluate drought response in 12 common bean and 4 tepary bean genotypes across 3 field campaigns (1 predrought and 2 post-drought). Hyperspectral data in partial least squares regression models predicted these physiological traits (

Identifiers

PMID37040284
PMCPMC10076057

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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.