Evidence map›Paper›PMID 27099619›Full record

ArticleEvolutionary applications2016

Intense selective hunting leads to artificial evolution in horn size.

Gabriel Pigeon, Marco Festa-Bianchet, David W Coltman, Fanie Pelletier

Abstract read
In one paragraph

Article in Evolutionary applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  20. Stable body size of Alpine ungulates.Royal Society open science · 2020
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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.

Gabriel PigeonDépartement de Biologie and Centre d'Études Nordiques Université de Sherbrooke Sherbrooke QC Canada; Département de Biologie Canada Research Chair in Evolutionary Demography and Conservation Université de Sherbrooke Sherbrooke QC Canada.
Marco Festa-BianchetDépartement de Biologie and Centre d'Études Nordiques Université de Sherbrooke Sherbrooke QC Canada.
David W ColtmanDepartment of Biological Sciences University of Alberta Edmonton AB Canada.
Fanie PelletierDépartement de Biologie and Centre d'Études Nordiques Université de Sherbrooke Sherbrooke QC Canada; Département de Biologie Canada Research Chair in Evolutionary Demography and Conservation Université de Sherbrooke Sherbrooke QC Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential for selective harvests to induce rapid evolutionary change is an important question for conservation and evolutionary biology, with numerous biological, social and economic implications. We analyze 39 years of phenotypic data on horn size in bighorn sheep (Ovis canadensis) subject to intense trophy hunting for 23 years, after which harvests nearly ceased. Our analyses revealed a significant decline in genetic value for horn length of rams, consistent with an evolutionary response to artificial selection on this trait. The probability that the observed change in male horn length was due solely to drift is 9.9%. Female horn length and male horn base, traits genetically correlated to the trait under selection, showed weak declining trends. There was no temporal trend in genetic value for female horn base circumference, a trait not directly targeted by selective hunting and not genetically correlated with male horn length. The decline in genetic value for male horn length stopped, but was not reversed, when hunting pressure was drastically reduced. Our analysis provides support for the contention that selective hunting led to a reduction in horn length through evolutionary change. It also confirms that after artificial selection stops, recovery through natural selection is slow.

Indexed as

conservation biologycontemporary evolutionquantitative genetics

Identifiers

PMID27099619
PMCPMC4831456

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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.