Evidence map›Paper›PMID 42382250›Full record

ArticlePlant phenomics (Washington, D.C.)2026

Unraveling plant phenotype to genotype associations with daily hyperspectral traits in

Marie C Klein, Christopher Ys Wong, J Grey Monroe, Jack Bailey-Bale, Thomas N Buckley, Jin-Gui Chen, Mengjun Shu, Timothy J Tschaplinski, Gerald A Tuskan, Troy S Magney and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Marie C KleinDepartment of Plant Sciences, University of California Davis, Davis, CA, 95616, USA.
Christopher Ys WongDepartment of Plant Sciences, University of California Davis, Davis, CA, 95616, USA.
J Grey MonroeDepartment of Plant Sciences, University of California Davis, Davis, CA, 95616, USA.
Jack Bailey-BaleDepartment 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.
Jin-Gui ChenBiosciences Division and the Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Mengjun ShuBiosciences Division and the Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Timothy J TschaplinskiBiosciences Division and the Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Gerald A TuskanBiosciences Division and the Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Troy S MagneyDepartment of Plant Sciences, University of California Davis, Davis, CA, 95616, USA.
Gail TaylorDepartment 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

Hyperspectral remote sensing is a powerful, high-throughput phenotyping tool that quantifies physiologically and structurally relevant wavelengths across diverse genotypes and over varying temporal scales. In this study, we combined tower-based continuous hyperspectral sensing with genome-wide association studies to analyze 1423 wavebands (400-900 nm) and derivative vegetation indices across 505 genotypes and the genetic architecture of hyperspectral phenotypes over time in

Indexed as

CarotenoidsChlorophyllChloroplastsField-basedGenetic basis of hyperspectral traitsHeritabilityHyperspectral GWASHyperspectral remote sensingPoplarVegetation indices

Identifiers

PMID42382250
PMCPMC13316257

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.