Evidence map›Paper›PMID 31795864›Full record

ArticleProceedings. Biological sciences2019

Testing predictions of inclusive fitness theory in inbreeding relatives with biparental care.

Elizabeth A Gow, Peter Arcese, Danielle Dagenais, Rebecca J Sardell, Scott Wilson, Jane M Reid

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 4 institutions in 3 countries.

Elizabeth A GowDepartment of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Peter ArceseDepartment of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Danielle DagenaisNatural Resources and Environmental Studies, University of Northern British Columbia, Prince George, British Columbia, Canada.
Rebecca J SardellSchool of Biological Sciences, University of Aberdeen, Aberdeen, Scotland.
Scott WilsonDepartment of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Jane M ReidSchool of Biological Sciences, University of Aberdeen, Aberdeen, Scotland.
University of Aberdeen · GBUniversity of British Columbia · CAEnvironment and Climate Change Canada · CAUniversity of Northern British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inclusive fitness theory predicts that parental care will vary with relatedness between potentially caring parents and offspring, potentially shaping mating system evolution. Systems with extra-pair paternity (EPP), and hence variable parent-brood relatedness, provide valuable opportunities to test this prediction. However, existing theoretical and empirical studies assume that a focal male is either an offspring's father with no inbreeding, or is completely unrelated. We highlight that this simple dichotomy does not hold given reproductive interactions among relatives, complicating the effect of EPP on parent-brood relatedness yet providing new opportunities to test inclusive fitness theory. Accordingly, we tested hierarchical hypotheses relating parental feeding rate to parent-brood relatedness, parent kinship and inbreeding, using song sparrows (

Indexed as

InbreedingSexual Behavior, AnimalAnimalsFemaleMalePasseriformesextra-pair paternityinbreedinginclusive fitnesskinshipparental careparent–offspring relatedness

Identifiers

PMID31795864
PMCPMC6939262
OpenAlexW2992855642

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.