Evidence map›Paper›PMID 32764130›Full record

ArticlePlant physiology2020

Predicting Stomatal Closure and Turgor Loss in Woody Plants Using Predawn and Midday Water Potential.

Thorsten Knipfer, Nicolas Bambach, M Isabel Hernandez, Megan K Bartlett, Gabriela Sinclair, Fiona Duong, Daniel A Kluepfel, Andrew J McElrone

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Plant physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 76 citations in OpenAlex.

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  12. Phenotypic, Metabolic and Genetic Adaptations of theInternational journal of molecular sciences · 2024
    Review
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  15. Acclimation of the GrapevinePlants (Basel, Switzerland) · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Thorsten KnipferDepartment of Viticulture and Enology, University of California, Davis, California 95616 tmknipfer@ucdavis.edu.ORCID 0000-0001-5945-7273
Nicolas BambachDepartment of Viticulture and Enology, University of California, Davis, California 95616.
M Isabel HernandezDepartment of Viticulture and Enology, University of California, Davis, California 95616.ORCID 0000-0001-9889-5508
Megan K BartlettDepartment of Viticulture and Enology, University of California, Davis, California 95616.
Gabriela SinclairDepartment of Viticulture and Enology, University of California, Davis, California 95616.
Fiona DuongDepartment of Viticulture and Enology, University of California, Davis, California 95616.
Daniel A KluepfelUnited States Department of Agriculture-Agricultural Research Service, Crops Pathology and Genetics Research Unit, Davis, California 95616.
Andrew J McElroneDepartment of Viticulture and Enology, University of California, Davis, California 95616.
University of California, Davis · USAgricultural Research Service · USUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge about physiological stress thresholds provides crucial information about plant performance and survival under drought. In this study, we report on the triphasic nature of the relationship between plant water potential (Ψ) at predawn and midday and describe a method that predicts Ψ at stomatal closure and turgor loss exclusively from this water potential curve (WP curve). The method is based on a piecewise linear regression model that was developed to predict the boundaries (termed Θ

Indexed as

Adaptation, PhysiologicalDehydrationDroughtsCircadian RhythmJuglansModels, TheoreticalPlant LeavesPlant StomataPrunus dulcisVitisWaterWater

Identifiers

PMID32764130
PMCPMC7536669
OpenAlexW3048271113

What OpenQuestion holds

Textmetadata
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.