Evidence map›Paper›PMID 31289689›Full record

ArticleEvolution letters2019

Genomic selection on breeding time in a wild bird population.

Phillip Gienapp, Mario P L Calus, Veronika N Laine, Marcel E Visser

Open access · goldAbstract read
In one paragraph

Article in Evolution letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 53 citations in OpenAlex.

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  8. Taking quantitative genomics into the wild.Proceedings. Biological sciences · 2022
    Article
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  13. Correlational selection in the age of genomics.Nature ecology & evolution · 2021
    Review
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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

4 authors at 2 institutions in 1 country.

Phillip GienappDepartment of Animal Ecology Netherlands Institute of Ecology (NIOO-KNAW) Wageningen The Netherlands.ORCID https://orcid.org/0000-0002-9368-8769
Mario P L CalusAnimal Breeding and Genomics Wageningen University & Research Wageningen The Netherlands.
Veronika N LaineDepartment of Animal Ecology Netherlands Institute of Ecology (NIOO-KNAW) Wageningen The Netherlands.
Marcel E VisserDepartment of Animal Ecology Netherlands Institute of Ecology (NIOO-KNAW) Wageningen The Netherlands.ORCID https://orcid.org/0000-0002-1456-1939
Netherlands Institute of Ecology · NLWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial selection experiments are a powerful tool in evolutionary biology. Selecting individuals based on multimarker genotypes (genomic selection) has several advantages over phenotype-based selection but has, so far, seen very limited use outside animal and plant breeding. Genomic selection depends on the markers tagging the causal loci that underlie the selected trait. Because the number of necessary markers depends, among other factors, on effective population size, genomic selection may be in practice not feasible in wild populations as most wild populations have much higher effective population sizes than domesticated populations. However, the current possibilities of cost-effective high-throughput genotyping could overcome this limitation and thereby make it possible to apply genomic selection also in wild populations. Using a unique dataset of about 2000 wild great tits (

Indexed as

Animal modelGBLUPgenomic breeding valuesphenologyquantitative genetic

Identifiers

PMID31289689
PMCPMC6591552
OpenAlexW2920014829

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.