The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genetic quality and sexual selection: an integrated framework for good genes and compatible genes
Abstract
Why are females so choosy when it comes to mating? This question has puzzled and marveled evolutionary and behavioral ecologists for decades. In mating systems in which males provide direct benefits to the female or her offspring, such as food or shelter, the answer seems straightforward — females should prefer to mate with males that are able to provide more resources. The answer is less clear in other mating systems in which males provide no resources (other than sperm) to females. Theoretical models that account for the evolution of mate choice in such nonresource‐based mating systems require that females obtain a genetic benefit through increased offspring fitness from their choice. Empirical studies of nonresource‐based mating systems that are characterized by strong female choice for males with elaborate sexual traits (like the large tail of peacocks) suggest that additive genetic benefits can explain only a small percentage of the variation in fitness. Other research on genetic benefits has examined nonadditive effects as another source of genetic variation in fitness and a potential benefit to female mate choice. In this paper, we review the sexual selection literature on genetic quality to address five objectives. First, we attempt to provide an integrated framework for discussing genetic quality. We propose that the term ‘good gene’ be used exclusively to refer to additive genetic variation in fitness, ‘compatible gene’ be used to refer to nonadditive genetic variation in fitness, and ‘genetic quality’ be defined as the sum of the two effects. Second, we review empirical approaches used to calculate the effect size of genetic quality and discuss these approaches in the context of measuring benefits from good genes, compatible genes and both types of genes. Third, we discuss biological mechanisms for acquiring and promoting offspring genetic quality and categorize these into three stages during breeding: (i) precopulatory (mate choice); (ii) postcopulatory, prefertilization (sperm utilization); and (iii) postcopulatory, postfertilization (differential investment). Fourth, we present a verbal model of the effect of good genes sexual selection and compatible genes sexual selection on population genetic variation in fitness, and discuss the potential trade‐offs that might exist between mate choice for good genes and mate choice for compatible genes. Fifth, we discuss some future directions for research on genetic quality and sexual selection.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Searle, S. R., Casella, G., & McCulloch, C. E. (1992) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316856 · Cited by 1,926
Wedekind, C., & Füri, S. (1997) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1997.0204 · Cited by 494
Cited by
Sexual selection and mate choice
Andersson, M., & Simmons, L. W. (2006) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.03.015 · Cited by 1,258
Disgust: evolved function and structure
Tybur, J. M., Lieberman, D., Kurzban, R., & DeScioli, P. (2013) · Psychological Review · doi:10.1037/a0030778 · Cited by 810
Mate Choice and Genetic Quality: A Review of the Heterozygosity Theory
Kempenaers, B. (2007) · Advances in the Study of Behavior · doi:10.1016/s0065-3454(07)37005-8 · Cited by 322
García-Navas, V., Ortego, J., & Sanz, J. J. (2009) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2009.0417 · Cited by 96
(2005) · Cited by 49
Metadata
- Authors
- NEFF, B. D., & PITCHER, T. E.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2004-11-19
- Volume
- 14
- Issue
- 1
- Pages
- 19-38
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W1585309374
- Cited by
- 750
- References
- 2
- FWCI
- 43.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genetic quality and sexual selection: an integrated framework for good genes and compatible genes. https://app.cochat.ai/papers/10.1111/j.1365-294x.2004.02395.x
- The paper
- NEFF, B. D., & PITCHER, T. E. (2005). Genetic quality and sexual selection: an integrated framework for good genes and compatible genes. Molecular Ecology. https://doi.org/10.1111/j.1365-294x.2004.02395.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.