Evidence map›Paper›PMID 40508243›Full record

ArticlePlants (Basel, Switzerland)2025

Enhancing Early Drought Detection in Plants: The Consideration of Organ Sensitivity, Parameter Selection, and Measurement Timing.

Guanqiang Zuo, Naijie Feng, Dianfeng Zheng

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Guanqiang ZuoCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524008, China.
Naijie FengCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524008, China.
Dianfeng ZhengCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524008, China.

Funding

Coastal Agricultural Engineering and Technology Research Center 230420020Guangdong Provincial Department of Agriculture and Rural Affairs 2024KJ31Guangdong Provincial Department of Education General Higher Education Key Area Special Project 2021ZDZX4027Postgraduate Innovation Forum of the Department of Education of Guangdong Province 2022XSLT036
6 · The paper itself

Abstract

Drought stress constitutes one of the most severe constraints to global agricultural productivity. Early drought detection is pivotal for sustainable agriculture, yet current approaches overlook critical dimensions of plant sensitivity. While advancements in photosynthetic parameter analysis (e.g., gas exchange, and chlorophyll fluorescence) have enhanced drought monitoring, three understudied factors limit progress: (1) differential drought sensitivity across plant organs (e.g., root nodules vs. leaves); (2) the selection of sensitive photosynthetic parameters and optimal measurement timing for stress detection; and (3) the identification of leaf layers most responsive to water deficits. By synthesizing insights from nodule physiology in legumes, cross-species evidence on multi-layered leaf senescence, and the temporal dynamics of stress sensitivity, this paper proposes a 'whole-plant sensitivity analysis' framework. Integrating organ-, parameter-, and time-specific perspectives, this paper aims to refine early drought detection in the field and enhance plant resilience research.

Indexed as

droughtlegumesorgan sensitivityparameter sensitivityphotosynthesistime sensitivity

Identifiers

PMID40508243
PMCPMC12158176

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.