Evidence map›Paper›PMID 37446973›Full record

ArticlePlants (Basel, Switzerland)2023

Best Procedures for Leaf and Stem Water Potential Measurements in Grapevine: Cultivar and Water Status Matter.

Martina Tomasella, Alberto Calderan, Alenka Mihelčič, Francesco Petruzzellis, Riccardo Braidotti, Sara Natale, Klemen Lisjak, Paolo Sivilotti, Andrea Nardini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2023. 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. Article
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.

Martina TomasellaDepartment of Life Sciences, University of Trieste, via L. Giorgieri 10, 34127 Trieste, Italy.ORCID 0000-0002-1470-1030
Alberto CalderanDepartment of Life Sciences, University of Trieste, via L. Giorgieri 10, 34127 Trieste, Italy.ORCID 0000-0002-2733-396X
Alenka MihelčičDepartment of Fruit Growing, Agricultural Institute of Slovenia, Viticulture and Enology, Hacquetova Ulica 17, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-0748-8024
Francesco PetruzzellisDepartment of Life Sciences, University of Trieste, via L. Giorgieri 10, 34127 Trieste, Italy.ORCID 0000-0002-3635-8501
Riccardo BraidottiDepartment of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Via delle Scienze 206, 33100 Udine, Italy.ORCID 0000-0001-6173-0072
Sara NataleDepartment of Life Sciences, University of Trieste, via L. Giorgieri 10, 34127 Trieste, Italy.
Klemen LisjakDepartment of Fruit Growing, Agricultural Institute of Slovenia, Viticulture and Enology, Hacquetova Ulica 17, SI-1000 Ljubljana, Slovenia.
Paolo SivilottiDepartment of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Via delle Scienze 206, 33100 Udine, Italy.ORCID 0000-0003-1405-6358
Andrea NardiniDepartment of Life Sciences, University of Trieste, via L. Giorgieri 10, 34127 Trieste, Italy.

Funding

European Union Acquavitis
6 · The paper itself

Abstract

The pressure chamber is the most used tool for plant water status monitoring. However, species/cultivar and seasonal effects on protocols for reliable water potential determination have not been properly tested. In four grapevine cultivars and two times of the season (early season, Es; late season, Ls, under moderate drought), we assessed the maximum sample storage time before leaf water potential (Ψ

Indexed as

leaf samplingleaf water potentialpressure chamberstem water potentialVitis viniferawater status

Identifiers

PMID37446973
PMCPMC10346302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.