Evidence map›Paper›PMID 39805920›Full record

ArticleScientific reports2025

Mind the leaf anatomy while taking ground truth with portable chlorophyll meters.

Zuzana Lhotáková, Eva Neuwirthová, Markéta Potůčková, Lucie Červená, Lena Hunt, Lucie Kupková, Petr Lukeš, Petya Campbell, Jana Albrechtová

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Zuzana LhotákováDepartment of Plant Experimental Biology, Faculty of Science, Charles University, Viničná 5, 12800, Prague, Czech Republic. zuzana.lhotakova@natur.cuni.cz.
Eva NeuwirthováDepartment of Plant Experimental Biology, Faculty of Science, Charles University, Viničná 5, 12800, Prague, Czech Republic.
Markéta PotůčkováDepartment of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 12800, Prague, Czech Republic.
Lucie ČervenáDepartment of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 12800, Prague, Czech Republic.
Lena HuntDepartment of Plant Experimental Biology, Faculty of Science, Charles University, Viničná 5, 12800, Prague, Czech Republic.
Lucie KupkováDepartment of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Albertov 6, 12800, Prague, Czech Republic.
Petr LukešGlobal Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 60300, Brno, Czech Republic.
Petya CampbellUniversity of Maryland Baltimore County and NASA/Goddard Space Flight Center, Code 618, Greenbelt, MD, 20771, USA.
Jana AlbrechtováDepartment of Plant Experimental Biology, Faculty of Science, Charles University, Viničná 5, 12800, Prague, Czech Republic.

Funding

NASA, LCLUC Program NNH17ZDA001N-LCLUC 80NSSC18K0337The Ministry of Agriculture of the Czech Republic QL24010275The ministry of Education, Youth and Sports of Czech Republic LTAUSA18154
6 · The paper itself

Abstract

A wide range of portable chlorophyll meters are increasingly being used to measure leaf chlorophyll content as an indicator of plant performance, providing reference data for remote sensing studies. We tested the effect of leaf anatomy on the relationship between optical assessments of chlorophyll (Chl) against biochemically determined Chl content as a reference. Optical Chl assessments included measurements taken by four chlorophyll meters: three transmittance-based (SPAD-502, Dualex-4 Scientific, and MultispeQ 2.0), one fluorescence-based (CCM-300), and vegetation indices calculated from the 400-2500 nm leaf reflectance acquired using an ASD FieldSpec and a contact plant probe. Three leaf types with different anatomy were included: dorsiventral laminar leaves, grass leaves, and needles. On laminar leaves, all instruments performed well for chlorophyll content estimation (R

Indexed as

ChlorophyllPlant LeavesRemote Sensing TechnologyChlorophyllChlorophyllLeaf pigmentsLeaf structureLeaf with hypodermisRemote sensingVegetation index

Identifiers

PMID39805920
PMCPMC11730753

What OpenQuestion holds

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LicenceCC BY
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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.