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Data from: Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the examp
负责人:
Plate, Manuel
关键词:
simulation studies animal breeding direct and maternal effects honeybees infinitesimal model finite locus model
DOI:
doi:10.5061/dryad.1nh544n
摘要:
Stochastic simulation studies of animal breeding have mostly relied on either the infinitesimal genetic model or finite polygenic models
Data from: Comparison of non-Gaussian quantitative genetic models for migration and stabilizing selection
负责人:
关键词:
gene flow;quantitative genetic;admixture;multilocus;migration load;migration-selection balance;infinitesimal model;Models\/Simulations;non-Gaussian;linkage disequilibrium
DOI:
doi:10.5061/dryad.s808f
摘要:
of the population mean from the optimum are highly similar across the different models, so that the non-Gaussian infinitesimal model forms a good approximation. It does
Data from: How does epistasis influence the response to selection?
负责人:
关键词:
quantitative genetics;population genetics
DOI:
doi:10.5061/dryad.s5s7r
摘要:
Much of quantitative genetics is based on the "infinitesimal model", under which selection has a negligible effect on the gene
Data from: Inferring heterogeneous evolutionary processes through time: from sequence substitution to phylogeography
负责人:
关键词:
phylogeography;phylogenetics;Epoch Model;BEAGLE;Bayesian inference;BEAST
DOI:
doi:10.5061/dryad.qp747
摘要:
e, we propose an evolutionary approach that explicitly relaxes the time-homogeneity assumption by allowing the specification of different infinitesimal
Data from: Inference of genetic architecture from chromosome partitioning analyses is sensitive to genome variation, sample size, heritability
负责人:
关键词:
chromosome partitioning;Birds;mesogenic;Genome wide association studies;quantitative genetics;polygenic traits;Ecological Genetics;oligogenic
DOI:
doi:10.5061/dryad.vg57647
摘要:
ng from these studies is that most traits are controlled by many loci of small effect, confirming the infinitesimal model of quantitative genetics

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