Evidence map›Paper›PMID 39090317›Full record

ArticleHeredity2024

Inbreeding depression affects the growth of seedlings of an African timber species with a mixed mating reproductive system, Pericopsis elata (Harms) Meeuwen.

Dieu -Merci Assumani Angbonda, Crispin M Ilunga-Mulala, Nils Bourland, Hans Beeckman, Faustin Boyemba, Hulda Hatakiwe, Jean Pierre Ngongo, Olivier J Hardy

Abstract read
In one paragraph

Article in Heredity, 2024. 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.

Dieu -Merci Assumani Angbonda *Faculté de Gestion des Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of the Congo. asssumani@gmail.com.ORCID 0000-0003-3817-9862
Crispin M Ilunga-Mulala *Forest Is Life, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.ORCID 0000-0003-4456-0846
Nils BourlandService of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium.
Hans BeeckmanService of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium.ORCID 0000-0001-8954-6277
Faustin BoyembaLaboratoire d'Ecologie et Aménagement Forestier (LECAFOR), Université de Kisangani, Kisangani, Democratic Republic of the Congo.
Hulda HatakiweCenter for International Forestry Research (CIFOR), Kisangani, Democratic Republic of the Congo.
Jean Pierre NgongoEvolutionary Biology and Ecology Unit CP 160/12, Faculté des Sciences, Université Libre de Bruxelles, Brussels, Belgium.
Olivier J HardyEvolutionary Biology and Ecology Unit CP 160/12, Faculté des Sciences, Université Libre de Bruxelles, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selfing or mating between related individuals can lead to inbreeding depression (ID), which can influence the survival, growth and evolution of populations of tree species. As selective logging involves a decrease in the density of congeneric partners, it could lead to increasing biparental inbreeding or self-fertilization, exposing the population to higher ID. We assessed the influence of inbreeding on the growth of a commercial timber species, Pericopsis elata (Fabaceae), which produced about 54% of self-fertilized seedlings in a natural population of the Congo basin. We followed the survival and growth of 540 plants raised in a plantation along a gradient of plant density (0.07-15.9 plants per m

Indexed as

Inbreeding DepressionSeedlingsCongoFabaceaeInbreedingReproductionSelf-FertilizationTrees

Identifiers

PMID39090317
PMCPMC11436979

What OpenQuestion holds

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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.