Worker-Queen conflict and the evolution of social insects
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Publication:1240685
DOI10.1016/0040-5809(77)90035-1zbMath0363.92018OpenAlexW2063635782WikidataQ44231133 ScholiaQ44231133MaRDI QIDQ1240685
Publication date: 1977
Published in: Theoretical Population Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0040-5809(77)90035-1
Related Items (15)
Social evolution and genetic interactions in the short and long term ⋮ Inclusive fitness models with two sexes ⋮ Hamilton's rule ⋮ Darwinian selection and altruism ⋮ Behavioural interactions selecting for symmetry and asymmetry in sexual reproductive systems of eusocial species ⋮ Theories of kin and group selection: A population genetics perspective ⋮ Towards a genetic theory for the evolution of the sex ratio II. Haplodiploid and diploid models with sibling and parental control of the brood sex ratio and brood size ⋮ Further remarks on Darwinian selection and altruism ⋮ On the evolution of sex determination and the sex ratio in haplodiploid populations ⋮ Wright-Fisher model of social insects with haploid males and diploid females ⋮ Reproductive success for social hymenoptera ⋮ Relatedness and inclusive fitness with inbreeding ⋮ Competition, kin selection, and evolutionary stable strategies ⋮ On the survival probability of a slightly advantageous mutant gene in a multitype population: A multidimensional branching process model ⋮ Optimal rates of dispersal. I: Haploid populations
Cites Work
- Resource partitioning among competing species - a coevolutionary approach
- Phenotypic structure and bifurcation behavior of population models
- On the founder effect and the evolution of altruistic traits
- Random evolutionarily stable strategies
- Competition between phenotypes
- Methods of matrix algebra
- On the neighbor effect and the evolution of altruistic traits
- A theory of group selection.
- Evolution of continuous variation: direct approach through joint distribution of genotypes and phenotypes.
- A Generalization of a Theorem of Bôcher
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