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Literature DB >> 17660553

Multilevel selection 3: modeling the effects of interacting individuals as a function of group size.

Abstract

Bijma et al. (2007a,b) presented a quantitative genetic theory of multilevel selection and showed how to estimate the relevant parameters using standard restricted maximum-likelihood (REML) methodology. Extending their results we develop a wider class of models that provide a more realistic framework for capturing the effects of interacting individuals. These models also make use of standard REML techniques and include the original model as a special case.

Mesh：

Year: 2007 PMID： 17660553 PMCID： PMC2013684 DOI： 10.1534/genetics.107.075622

Source DB: PubMed Journal: Genetics ISSN： 0016-6731 Impact factor: 4.562

6 in total

1. The genetic analysis of age-dependent traits: modeling the character process.

Authors: S D Pletcher; C J Geyer
Journal: Genetics Date: 1999-10 Impact factor: 4.562

2. Direct estimation of genetic principal components: simplified analysis of complex phenotypes.

Authors: Mark Kirkpatrick; Karin Meyer
Journal: Genetics Date: 2004-12 Impact factor: 4.562

3. Multilevel selection 1: Quantitative genetics of inheritance and response to selection.

Authors: Piter Bijma; William M Muir; Johan A M Van Arendonk
Journal: Genetics Date: 2006-11-16 Impact factor: 4.562

4. Multilevel selection 2: Estimating the genetic parameters determining inheritance and response to selection.

Authors: Piter Bijma; William M Muir; Esther D Ellen; Jason B Wolf; Johan A M Van Arendonk
Journal: Genetics Date: 2006-11-16 Impact factor: 4.562

5. Incorporation of competitive effects in forest tree or animal breeding programs.

Authors: William M Muir
Journal: Genetics Date: 2005-05-23 Impact factor: 4.562

6. Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML.

Authors: Troy M Fischer; Arthur R Gilmour; Julius H J van der Werf
Journal: Genet Sel Evol Date: 2004 May-Jun Impact factor: 4.297

6 in total

12 in total

9. Phenotypic and evolutionary consequences of social behaviours: interactions among individuals affect direct genetic effects.

Authors: Barbora Trubenová; Reinmar Hager
Journal: PLoS One Date: 2012-11-30 Impact factor: 3.240

10. Indirect genetic effects and kin recognition: estimating IGEs when interactions differ between kin and strangers.

Authors: S W Alemu; P Berg; L Janss; P Bijma
Journal: Heredity (Edinb) Date: 2013-10-30 Impact factor: 3.821

Multilevel selection 3: modeling the effects of interacting individuals as a function of group size.

1. The genetic analysis of age-dependent traits: modeling the character process.

2. Direct estimation of genetic principal components: simplified analysis of complex phenotypes.

3. Multilevel selection 1: Quantitative genetics of inheritance and response to selection.

4. Multilevel selection 2: Estimating the genetic parameters determining inheritance and response to selection.

5. Incorporation of competitive effects in forest tree or animal breeding programs.

6. Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML.

1. Estimating indirect genetic effects: precision of estimates and optimum designs.

2. Multilevel selection 4: modeling the relationship of indirect genetic effects and group size.

3. Dynamic network partnerships and social contagion drive cooperation.

Review 4. The quantitative genetics of indirect genetic effects: a selective review of modelling issues.

5. Cryptic evolution: does environmental deterioration have a genetic basis?

Review 6. Competition as a source of constraint on life history evolution in natural populations.

7. Indirect genetic effects and the dynamics of social interactions.

8. Indirect genetic effects and the evolution of aggression in a vertebrate system.

9. Phenotypic and evolutionary consequences of social behaviours: interactions among individuals affect direct genetic effects.

10. Indirect genetic effects and kin recognition: estimating IGEs when interactions differ between kin and strangers.