Evidence map›Paper›PMID 41068292›Full record

ArticleScientific reports2025

Heritability of early seedling growth in Taxus baccata, a declining conifer.

Igor J Chybicki, Jan Suszka, Katarzyna Meyza, Grzegorz Iszkuło

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Igor J ChybickiDepartment of Genetics, Kazimierz Wielki University, Chodkiewicza 30, Bydgoszcz, 85-064, Poland. igorchy@ukw.edu.pl.ORCID https://orcid.org/0000-0003-4054-8890
Jan SuszkaInstitute of Dendrology, Polish Academy of Sciences, Parkowa 5, Kórnik, 62-035, Poland.ORCID https://orcid.org/0000-0001-6877-8458
Katarzyna MeyzaDepartment of Genetics, Kazimierz Wielki University, Chodkiewicza 30, Bydgoszcz, 85-064, Poland.ORCID https://orcid.org/0000-0002-7204-8674
Grzegorz IszkułoInstitute of Dendrology, Polish Academy of Sciences, Parkowa 5, Kórnik, 62-035, Poland.ORCID https://orcid.org/0000-0003-2067-729X

Funding

Narodowe Centrum Nauki UMO-2014/15/B/NZ9/04404
6 · The paper itself

Abstract

In the face of ongoing climate change, understanding adaptive potential is crucial for conserving the functional biodiversity of forests. In trees, early growth influences competitive ability, rendering seedling attributes suitable candidates for adaptive traits. However, determining whether any trait contributes to the evolutionary potential requires proving its heritability. Such knowledge is important, among others, for understanding the current status of declining tree species, such as the common yew. In this study, we aimed to estimate the heritability of early seedling growth in yew. To achieve this, we collected seeds from two remnant populations and subjected them to germination. We then established a greenhouse experiment to grow seedlings. Using paternity analyses, we determined the relatedness between seedlings. Subsequently, the additive genetic variance in the height of 4-month-old seedlings was estimated using a Bayesian model, taking into account maternal and population effects. Our results indicated that seedling height heritability was 0.17 to 0.46, depending on the level of conservatism applied, while we found no apparent maternal effect, despite the significant variation in germination between mother trees. The findings suggest that early growth may be subject to evolutionary change in yew, provided that the trait is an important fitness component.

Indexed as

SeedlingsTaxusBayes TheoremGenetic VariationGerminationDeclining speciesPaternitySeedling performanceVariance partitioningYew

Identifiers

PMID41068292
PMCPMC12511307

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Registered trials

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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.