Evidence map›Paper›PMID 39204955›Full record

ArticleSensors (Basel, Switzerland)2024

Using Dynamic Laser Speckle Imaging for Plant Breeding: A Case Study of Water Stress in Sunflowers.

Sherif Bouzaouia, Maxime Ryckewaert, Daphné Héran, Arnaud Ducanchez, Ryad Bendoula

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

5 authors.

Sherif BouzaouiaITAP, INRAE, Institut Agro, University of Montpellier, 34060 Montpellier, France.ORCID 0009-0002-5605-0464
Maxime Ryckewaert(LIRMM) Laboratory of Computer Science, Robotics and Microelectronics of Montpellier, Inria, (CNRS) National Center for Scientific Research, University of Montpellier, 34392 Montpellier, France.ORCID 0000-0002-9494-797X
Daphné HéranITAP, INRAE, Institut Agro, University of Montpellier, 34060 Montpellier, France.ORCID 0000-0002-1014-7976
Arnaud DucanchezITAP, INRAE, Institut Agro, University of Montpellier, 34060 Montpellier, France.ORCID 0000-0003-3651-2801
Ryad BendoulaITAP, INRAE, Institut Agro, University of Montpellier, 34060 Montpellier, France.ORCID 0000-0002-2794-1252

Funding

ANR Digital Agriculture ANR-16- CONV-0004
6 · The paper itself

Abstract

This study focuses on the promising use of biospeckle technology to detect water stress in plants, a complex physiological mechanism. This involves monitoring the temporal activity of biospeckle pattern to study the occurrence of stress within the leaf. The effects of water stress in plants can involve physical and biochemical changes. Some of these changes may alter the optical scattering properties of leaves. The present study therefore proposes to test the potential of a biospeckle measurement to observe the temporal evolution in different varieties of sunflower plants under water stress. An experiment applying controlled water stress with osmotic shock using polyethylene glycol 6000 (PEG) was conducted on two sunflower varieties: one sensitive, and the other more tolerant to water stress. Temporal monitoring of biospeckle activity in these plants was performed using the average value of difference (AVD) indicator. Results indicate that AVD highlights the difference in biospeckle activity between day and night, with lower activity at night for both varieties. The addition of PEG entailed a gradual decrease in values throughout the experiment, particularly for the sensitive variety. The results obtained are consistent with the behaviour of the varieties submitted to water stress. Indeed, a few days after the introduction of PEG, a stronger decrease in AVD indicator values was observed for the sensitive variety than for the resistant variety. This study highlights the dynamics of biospeckle activity for different sunflower varieties undergoing water stress and can be considered as a promising phenotyping tool.

Indexed as

HelianthusLasersPlant BreedingPlant LeavesDehydrationPolyethylene GlycolsStress, PhysiologicalWaterPolyethylene GlycolsWaterbiospeckledigital agriculturephenotypingwater stress

Identifiers

PMID39204955
PMCPMC11360077

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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.