The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Multilevel Selection 1: Quantitative Genetics of Inheritance and Response to Selection
Open accessAbstract
Interaction among individuals is universal, both in animals and in plants, and substantially affects evolution of natural populations and responses to artificial selection in agriculture. Although quantitative genetics has successfully been applied to many traits, it does not provide a general theory accounting for interaction among individuals and selection acting on multiple levels. Consequently, current quantitative genetic theory fails to explain why some traits do not respond to selection among individuals, but respond greatly to selection among groups. Understanding the full impacts of heritable interactions on the outcomes of selection requires a quantitative genetic framework including all levels of selection and relatedness. Here we present such a framework and provide expressions for the response to selection. Results show that interaction among individuals may create substantial heritable variation, which is hidden to classical analyses. Selection acting on higher levels of organization captures this hidden variation and therefore always yields positive response, whereas individual selection may yield response in the opposite direction. Our work provides testable predictions of response to multilevel selection and reduces to classical theory in the absence of interaction. Statistical methodology provided elsewhere enables empirical application of our work to both natural and domestic populations.
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
Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
The genetical evolution of social behaviour. I
Hamilton, W. D. (1964) · Journal of Theoretical Biology · doi:10.1016/0022-5193(64)90038-4 · Cited by 15,725
THE GENETICAL STRUCTURE OF POPULATIONS
WRIGHT, S. (1949) · Annals of Eugenics · doi:10.1111/j.1469-1809.1949.tb02451.x · Cited by 6,753
Genetics and Analysis of Quantitative Traits
(2002) · Journal of Animal Breeding and Genetics · doi:10.1046/j.1439-0388.2002.00356.x · Cited by 6,092
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
THE INTERPRETATION OF POPULATION STRUCTURE BY F-STATISTICS WITH SPECIAL REGARD TO SYSTEMS OF MATING
Wright, S. (1965) · Evolution · doi:10.1111/j.1558-5646.1965.tb01731.x · Cited by 3,625
Fehr, E., & Fischbacher, U. (2003) · Nature · doi:10.1038/nature02043 · Cited by 3,475 · cited 2×
“One of those issues is the evolution of altruism (Wilson 1985, 2005; Woodcock and Heath 2002; Fehr and Fischbacher 2003; Cooper and Wallace 2004; Hamilton and Taborsky 2005; Okasha 2005) and the importance of kin selection to this process (Hamilton 1964; Michod 1982; Day and Taylor 1997; Griffin…”
BackgroundThe diversity–stability debate
McCann, K. S. (2000) · Nature · doi:10.1038/35012234 · Cited by 3,143
Will a Large Complex System be Stable?
MAY, R. M. (1972) · Nature · doi:10.1038/238413a0 · Cited by 2,869
Cited by
Resilience in farm animals: biology, management, breeding and implications for animal welfare
Colditz, I. G., & Hine, B. C. (2016) · Animal Production Science · doi:10.1071/an15297 · Cited by 388
Metadata
- Authors
- Bijma, P., Muir, W. M., & Van Arendonk, J. A. M.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-01-01
- Volume
- 175
- Issue
- 1
- Pages
- 277-288
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2132362070
- Cited by
- 351
- References
- 61
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- green
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: Multilevel Selection 1: Quantitative Genetics of Inheritance and Response to Selection. https://app.cochat.ai/papers/10.1534/genetics.106.062711
- The paper
- Bijma, P., Muir, W. M., & Van Arendonk, J. A. M. (2007). Multilevel Selection 1: Quantitative Genetics of Inheritance and Response to Selection. Genetics. https://doi.org/10.1534/genetics.106.062711
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.