Evidence map›Paper›PMID 41743113›Full record

ArticleQuantitative plant biology2026

Recommendations for assessing xylogenesis in angiosperm trees.

Lorène J Marchand, Peter Prislan, Jožica Gričar, Cristina Nabais, Elena Larysch, Roberto Silvestro, Omar Flores, Cyrille B K Rathgeber, Patrick Fonti

Abstract read
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Article in Quantitative plant biology, 2026. 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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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

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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

9 authors.

Lorène J MarchandPLECO Plants and Ecosystems Research Group, University of Antwerp, Belgium.ORCID https://orcid.org/0000-0002-9633-0228
Peter PrislanDepartment of Forest Yield and Silviculture, Slovenian Forestry Institute, Slovenia.ORCID https://orcid.org/0000-0002-3932-6388
Jožica GričarDepartment of Forest Physiology and Genetics, Slovenian Forestry Institute, Slovenia.
Cristina NabaisCentre for Functional Ecology, Department of Life Sciences, University of Coimbra Faculty of Sciences and Technology, Portugal.
Elena LaryschChair of Forest Growth and Dendroecology, University of Freiburg, Germany.
Roberto SilvestroLaboratoire Sur Les Écosystèmes Terrestres Boréaux, Département Des Sciences Fondamentales, Université du Québec à Chicoutimi, Canada.
Omar FloresPLECO Plants and Ecosystems Research Group, University of Antwerp, Belgium.
Cyrille B K RathgeberSILVA, Université de Lorraine, AgroParisTech, INRAE, France.ORCID https://orcid.org/0000-0001-7359-8320
Patrick FontiSwiss Federal Institute for Forest, Snow, and Landscape Research, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding wood formation is critical for interpreting tree growth and carbon allocation under changing environmental conditions. While major progress has been made for gymnosperms, harmonized approaches for studying xylogenesis in angiosperms remain limited. Here, we present practical recommendations for observing and analysing xylogenesis in angiosperm trees, illustrated from examples from temperate and sub-Mediterranean forests. The perspective includes guidance on identifying xylem cell types in histological sections, defining developmental phenophases and establishing a workflow for data collection (and analysis). Annotated images are provided to support reproducibility and inter-observer consistency. We also discuss key challenges unique to angiosperms, including cell-type-specificities and wood type differences. Future research priorities include conserving histological images, extending xylogenesis to branches and coarse roots, enabling cross-biome comparisons and advancing kinetic analysis. This framework supports the coordinated expansion of angiosperm xylogenesis studies, enabling deeper insights into tree functioning in a changing world.

Indexed as

methodologywood formationwood typexylem cell types

Identifiers

PMID41743113
PMCPMC12930227

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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.