Evidence map›Paper›PMID 42015955›Full record

ArticleEvolutionary applications2026

Effect of Genetic Ancestry on Ecologically Important Fitness Traits in Hybridizing

Erik Szamosvári, Roman Ufimov, Nicola G Criscuolo, Luisa Bresadola, Stefano Castiglione, Angela Cicatelli, Christian Lexer, Marcela van Loo

Abstract read
In one paragraph

Article in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Erik SzamosváriDepartment of Forest Growth, Silviculture & Genetics Austrian Research Centre for Forests (BFW) Vienna Austria.ORCID https://orcid.org/0009-0008-2715-0072
Roman UfimovDepartment of Forest Growth, Silviculture & Genetics Austrian Research Centre for Forests (BFW) Vienna Austria.ORCID https://orcid.org/0000-0002-9753-5858
Nicola G CriscuoloDepartment of Botany and Biodiversity Research, Faculty of Life Sciences University of Vienna Vienna Austria.ORCID https://orcid.org/0000-0002-0394-0888
Luisa BresadolaDepartment of Biology University of Fribourg Fribourg Switzerland.ORCID https://orcid.org/0000-0002-8993-8323
Stefano CastiglioneDepartment of Chemistry and Biology "A. Zambelli" University of Salerno Fisciano Italy.ORCID https://orcid.org/0000-0002-0632-4677
Angela CicatelliDepartment of Chemistry and Biology "A. Zambelli" University of Salerno Fisciano Italy.ORCID https://orcid.org/0000-0001-6996-3495
Christian LexerDepartment of Botany and Biodiversity Research, Faculty of Life Sciences University of Vienna Vienna Austria.ORCID https://orcid.org/0000-0002-7221-7482
Marcela van LooDepartment of Forest Growth, Silviculture & Genetics Austrian Research Centre for Forests (BFW) Vienna Austria.ORCID https://orcid.org/0000-0001-7176-2967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest trees and their hybrids exhibit diverse adaptive strategies, reflected in functional traits that enhance fitness under varying biotic and abiotic stresses. Hybrid zones serve as natural experiments for studying evolutionary processes and have also garnered attention for their relevance in adaptive nature conservation and forest management, particularly in response to climate change and habitat fragmentation. However, the influence of genetic ancestry on ecologically relevant traits in hybrid zones remains insufficiently studied and understood. We investigated in this study the effects of genetic ancestry on juvenile survival, clonality, vegetative growth, and leaf hairiness in hybridizing

Indexed as

clonalitygenetic ancestrygrowthhairinesspoplarsurvival

Identifiers

PMID42015955
PMCPMC13093791

What OpenQuestion holds

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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.