Data · dataset · 2021
Data from: Quantifying inbreeding avoidance through extra-pair reproduction
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/sx5q8o
Description
Abstract
Extra-pair reproduction is widely hypothesised to allow females to avoid inbreeding with related socially-paired males. Consequently, numerous field studies have tested the key predictions that extra-pair offspring are less inbred than females’ alternative within-pair offspring, and that the probability of extra-pair reproduction increases with a female's relatedness to her socially-paired male. However such studies rarely measure inbreeding or relatedness sufficiently precisely to detect subtle effects, or consider biases stemming from failure to observe inbred offspring that die during early development.
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Analyses of multi-generational song sparrow (Melospiza melodia) pedigree data showed that most females had opportunity to increase or decrease the coefficient of inbreeding of their offspring through extra-pair reproduction with neighbouring males. In practice, observed extra-pair offspring had lower inbreeding coefficients than females’ within-pair offspring on average, while the probability of extra-pair reproduction increased substantially with the coefficient of kinship between a female and her socially-paired male.
However, simulations showed that such effects could simply reflect bias stemming from inbreeding depression in early offspring survival. The null hypothesis that extra-pair reproduction is random with respect to kinship therefore cannot be definitively rejected in song sparrows, and existing general evidence that females avoid inbreeding through extra-pair reproduction requires re-evaluation given such biases. Usage notes breed.data.dryad.use This file contains data required for the simulation that quantifies the consequences of observation failure due to offspring mortality for estimates of inbreeding avoidance through extra-pair reproduction. data.epy.dryad.use This file contains the data for the basic analysis of inbreeding avoidance through extra-pair reproduction. data.fems.dryad.use This file contains the data for the analyses of extra-pair reproduction, clutch size, probability of offspring mortality and brood size in relation to a female's kinship with her socially paired male. data.neighbours.dryad.use This dataset describes the coefficient of kinship between each focal female and her first-, second- and non-neighbour males. neighbours.na.dryad.use This file contains data required for the simulation that quantifies the consequences of observation failure due to offspring mortality for estimates of inbreeding avoidance through extra-pair reproduction. neighbours1.dryad.use This file contains data required for the simulation that quantifies the consequences of observation failure due to offspring mortality for estimates of inbreeding avoidance through extra-pair reproduction. neighbours2.dryad.use This file contains data required for the simulation that quantifies the consequences of observation failure due to offspring mortality for estimates of inbreeding avoidance through extra-pair reproduction. ped.data.dryad.use This file contains data required for the simulation that quantifies the consequences of observation failure due to offspring mortality for estimates of inbreeding avoidance through extra-pair reproduction. simulationRcode.dryad.use This simulation code quantifies the consequences of observation failure (ie pre-banding mortality) for estimates of the pattern of occurrence of extra-pair reproduction in relation to the kinship between a female and her socially-paired male, and the degree of inbreeding avoidance through extra-pair reproduction.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FSX5Q8O ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/sx5q8o ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Crop and pasture production 72% · Simulation 75%
Provenance · 2 source records, 21 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/SX5Q8O | 9 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/SX5Q8O | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3004 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:other | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |