Evidence map›Paper›PMID 37053244›Full record

ArticlePloS one2023

Leaf functional traits and pathogens: Linking coffee leaf rust with intraspecific trait variation in diversified agroecosystems.

Stephanie Gagliardi, Jacques Avelino, Adam R Martin, Marc Cadotte, Elias de Melo Virginio Filho, Marney E Isaac

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
3.4field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

6 authors at 3 institutions in 3 countries.

Stephanie GagliardiDepartment of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.ORCID 0000-0003-1612-0173
Jacques AvelinoCIRAD, UMR PHIM, Montpellier, France.ORCID 0000-0003-1983-9431
Adam R MartinDepartment of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
Marc CadotteDepartment of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
Elias de Melo Virginio FilhoCentro Agronómico Tropical de Investigación y Enseñanza, Turrialba, Costa Rica.
Marney E IsaacDepartment of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.ORCID 0000-0002-5975-833X
University of Toronto · CACentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRCentro Agronomico Tropical de Investigacion y Ensenanza Catie · CR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has demonstrated that intraspecific functional trait variation underpins plant responses to environmental variability. However, few studies have evaluated how trait variation shifts in response to plant pathogens, even though pathogens are a major driver of plant demography and diversity, and despite evidence of plants expressing distinct strategies in response to pathogen pressures. Understanding trait-pathogen relationships can provide a more realistic understanding of global patterns of functional trait variation. We examined leaf intraspecific trait variability (ITV) in response to foliar disease severity, using Coffea arabica cv. Caturra as a model species. We quantified coffee leaf rust (CLR) severity-a fungal disease prominent in coffee systems-and measured key coffee leaf functional traits under contrasting, but widespread, management conditions in an agroforestry system. We found that coffee plants express significant ITV, which is largely related to shade tree treatment and leaf position within coffee canopy strata. Yet within a single plant canopy stratum, CLR severity increased with increasing resource conserving trait values. However, coffee leaves with visible signs of disease expressed overall greater resource acquiring trait values, as compared to plants without visible signs of disease. We provide among the first evidence that leaf traits are correlated with foliar disease severity in coffee, and that functional trait relationships and syndromes shift in response to increased disease prevalence in this plant-pathogen system. In doing so, we address a vital gap in our understanding of global patterns of functional trait variation and highlight the need to further explore the potential role of pathogens within established global trait relationships and spectra.

Indexed as

BasidiomycotaCoffeaPhenotypePlant Leaves

Identifiers

PMID37053244
PMCPMC10101423
OpenAlexW4365442658

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.