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Cited by 403

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Postmating Female Control: 20 Years of Cryptic Female Choice

Open access
Firman, Renée C., Gasparini, Clelia, Manier, Mollie K., Pizzari, Tommaso·2017·Trends in Ecology & Evolution
DOI 10.1016/j.tree.2017.02.010
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Abstract

Cryptic female choice (CFC) represents postmating intersexual selection arising from female-driven mechanisms at or after mating that bias sperm use and impact male paternity share. Although biologists began to study CFC relatively late, largely spurred by Eberhard's book published 20 years ago, the field has grown rapidly since then. Here, we review empirical progress to show that numerous female processes offer potential for CFC, from mating through to fertilization, although seldom has CFC been clearly demonstrated. We then evaluate functional implications, and argue that, under some conditions, CFC might have repercussions for female fitness, sexual conflict, and intersexual coevolution, with ramifications for related evolutionary phenomena, such as speciation. We conclude by identifying directions for future research in this rapidly growing field.

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Metadata

Authors
Firman, R. C., Gasparini, C., Manier, M. K., & Pizzari, T.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2017-05
Volume
32
Issue
5
Pages
368-382
ISSN
0169-5347 (ISSN-L)
DOI
10.1016/j.tree.2017.02.010
OpenAlex
W2597188003
Cited by
403
References
75
FWCI
4.41
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Postmating Female Control: 20 Years of Cryptic Female Choice. https://app.cochat.ai/papers/10.1016/j.tree.2017.02.010
The paper
Firman, R. C., Gasparini, C., Manier, M. K., & Pizzari, T. (2017). Postmating Female Control: 20 Years of Cryptic Female Choice. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2017.02.010

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.