Evidence map›Paper›PMID 41797817›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Toward efficient screening systems for sunflower drought tolerance: a comparative and molecular perspective.

Malin Alf, Alessia Ronchi, Aleksandra Radanović, Florian Schilling, Kimon Ionas, Boško Dedić, Srđan Bursać, Siniša Jocić, Zeena D Costa Rodriguez, Serena Varotto and 2 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

12 authors.

Malin AlfDepartment of Plant Genetics, Institute of Biological Sciences, University of Rostock, Rostock, Germany.
Alessia RonchiDepartment of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Padua, Italy.
Aleksandra RadanovićInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
Florian SchillingDepartment of Plant Genetics, Institute of Biological Sciences, University of Rostock, Rostock, Germany.
Kimon IonasInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
Boško DedićInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
Srđan BursaćInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
Siniša JocićInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
Zeena D Costa RodriguezDepartment of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Padua, Italy.
Serena VarottoDepartment of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Padua, Italy.
Dragana MiladinovićInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Novi Sad, Serbia.
Renate HornDepartment of Plant Genetics, Institute of Biological Sciences, University of Rostock, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The observed longer and more frequent periods of drought in recent years have drawn more focus on efficient breeding techniques for drought-tolerant crops. Several systems have been used to simulate drought conditions in order to select drought-tolerant lines. However, little is known about the comparability of different screening methods. We compared four different systems in terms of the information provided on drought tolerance, namely, two

Indexed as

abscisic acidclimate-resilient sunflowerdrought stressin vitro screeningpot trialstranscriptome

Identifiers

PMID41797817
PMCPMC12961277

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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.