Evidence map›Paper›PMID 42428603›Full record

ReviewEvolutionary applications2026

Generation Length: Often Ignored and Sometimes Misunderstood.

Fred W Allendorf, Nils Ryman

Abstract readReview
In one paragraph

Review in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Fred W AllendorfDivision of Biological Sciences University of Montana Missoula Montana USA.ORCID https://orcid.org/0000-0003-3663-6425
Nils RymanDepartment of Zoology Stockholm University Stockholm Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional mathematical models of population genetics have generally assumed discrete generations, but most species have overlapping generations. It is necessary to estimate generation length with overlapping generations for purposes of comparison with discrete-generation models. In populations with overlapping generations, generation length is the average age of parents at the time their progeny are born. Genetic risks associated with small populations depend on both effective population size and elapsed time in generations. In some cases, populations with larger effective size can lose heterozygosity more quickly than populations with smaller effective size because they have shorter generation length. Therefore, estimates of effective size alone cannot be used to predict the loss of heterozygosity over calendar time. Generation length is also required to estimate effective population size from the rate of loss of heterozygosity, to estimate the time of divergence between species using molecular data, and to use coalescent models for historical demographic analyses. Generation length is often not carefully defined or estimated in these cases. In some papers, authors have used the generation length only for females and have ignored males. A review of the literature indicates that the generation length for males and females can be substantially different in some species. In addition, a variety of proxies have been used in the literature for generation length. Many of these proxies do not provide reliable estimates of generation length. Accurate estimates of generation length require detailed life-history information that is unfortunately not available for many species. Analyses using these proxies for generation length should be treated with some skepticism. Most population genetics textbooks do not define generation length. It is hard to understand why such an important parameter in population genetics has been so ignored.

Indexed as

age at first reproductiondivergence timeeffective population sizegeneration lengthhistorical demographylife history

Identifiers

PMID42428603
PMCPMC13346920

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Registered trials

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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.