Evidence map›Paper›PMID 34618089›Full record

ArticlePlant physiology2021

A digital sensor to measure real-time leaf movements and detect abiotic stress in plants.

Batist Geldhof, Jolien Pattyn, David Eyland, Sebastien Carpentier, Bram Van de Poel

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.8field-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, 45 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Batist GeldhofDepartment of Biosystems, Division of Crop Biotechnics, Molecular Plant Hormone Physiology Lab, University of Leuven, Leuven 3001, Belgium.ORCID 0000-0003-0025-1750
Jolien PattynDepartment of Biosystems, Division of Crop Biotechnics, Molecular Plant Hormone Physiology Lab, University of Leuven, Leuven 3001, Belgium.ORCID 0000-0001-5269-2799
David EylandDepartment of Biosystems, Division of Crop Biotechnics, Tropical Crop Improvement Laboratory, University of Leuven, Leuven 3001, Belgium.ORCID 0000-0002-9176-609X
Sebastien CarpentierDepartment of Biosystems, Division of Crop Biotechnics, Tropical Crop Improvement Laboratory, University of Leuven, Leuven 3001, Belgium.ORCID 0000-0002-7389-6405
Bram Van de PoelDepartment of Biosystems, Division of Crop Biotechnics, Molecular Plant Hormone Physiology Lab, University of Leuven, Leuven 3001, Belgium.ORCID 0000-0001-5638-2472
KU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant and plant organ movements are the result of a complex integration of endogenous growth and developmental responses, partially controlled by the circadian clock, and external environmental cues. Monitoring of plant motion is typically done by image-based phenotyping techniques with the aid of computer vision algorithms. Here we present a method to measure leaf movements using a digital inertial measurement unit (IMU) sensor. The lightweight sensor is easily attachable to a leaf or plant organ and records angular traits in real-time for two dimensions (pitch and roll) with high resolution (measured sensor oscillations of 0.36 ± 0.53° for pitch and 0.50 ± 0.65° for roll). We were able to record simple movements such as petiole bending, as well as complex lamina motions, in several crops, ranging from tomato to banana. We also assessed growth responses in terms of lettuce rosette expansion and maize seedling stem movements. The IMU sensors are capable of detecting small changes of nutations (i.e. bending movements) in leaves of different ages and in different plant species. In addition, the sensor system can also monitor stress-induced leaf movements. We observed that unfavorable environmental conditions evoke certain leaf movements, such as drastic epinastic responses, as well as subtle fading of the amplitude of nutations. In summary, the presented digital sensor system enables continuous detection of a variety of leaf motions with high precision, and is a low-cost tool in the field of plant phenotyping, with potential applications in early stress detection.

Indexed as

Circadian ClocksCrops, AgriculturalDigital TechnologyLactucaMovementMusaPlant LeavesSolanum lycopersicumStress, PhysiologicalZea mays

Identifiers

PMID34618089
PMCPMC8566216
OpenAlexW3198667119

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.