Evidence map›Paper›PMID 34451720›Full record

ArticlePlants (Basel, Switzerland)2021

Modeling Carbon Balance and Sugar Content of

Linda Salvi, Eleonora Cataldo, Sofia Sbraci, Francesca Paoli, Maddalena Fucile, Eleonora Nistor, Giovan Battista Mattii

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. 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
0.7field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

7 authors at 2 institutions in 2 countries.

Linda SalviDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144 Florence, Italy.ORCID 0000-0001-5029-9926
Eleonora CataldoDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144 Florence, Italy.ORCID 0000-0001-6191-2044
Sofia SbraciDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144 Florence, Italy.
Francesca PaoliDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144 Florence, Italy.
Maddalena FucileDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144 Florence, Italy.
Eleonora NistorDepartment of Horticulture, Banat University of Agricultural Sciences and Veterinary Medicine, 300645 Timișoara, Romania.
Giovan Battista MattiiDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50144 Florence, Italy.
University of Florence · ITUnivesity of Life Science "King Mihai I" from Timisoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental factors might influence the carbon balance and sugar content in grapevine. In this two-year research, the STELLA software was employed to predict dry matter accumulation in Sangiovese vines, comparing the traditional vertical shoot positioning (VSP) and the single high wire (SHW) trellis systems. Every week, vegetative, eco-physiological and grape quality parameters were collected for 15 tagged vines per trellis system to set up the software. Significant differences in photosynthesis were recorded in 2014, with higher values in VSP (23-25% more). Shoot growth was significantly higher in VSP (20-25% more), whereas higher dry matter (30%) and yield (9-11% more) were detected for SHW. At harvest, berry composition suggested a slower ripening in SHW compared to VSP, which was linked to the shading of clusters in SHW. Finally, for the first time, linear regressions were found between measured berry sugar content and STELLA-estimated dry matter (R

Indexed as

climate changegrapevine managementphotosynthesisqualitysingle high wire trellisSTELLA softwarevertical shoot positioning trellisyield

Identifiers

PMID34451720
PMCPMC8402180
OpenAlexW3193540468

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.