Estimating genetic parameters in natural populations using the "animal model".

By L. Kruuk. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2004

1,143 citations recorded by the source corpus.

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Citations in the corpus

A framework for the study of genetic variation in migratory behaviour (2006, positive): “In populations where pedigrees are known, the estimation of genetic components can be improved upon by simultaneous consideration of phenotypes of all relatives and amongyear environmental effects by using so-called animal models (Kruuk 2004).”
The evolutionary ecology of individual phenotypic plasticity in wild populations (2007, methodology): “…natural populations, genetic components of variance are most straightforwardly calculated by using a so-called ‘animal model’, a form of linear mixed model that incorporates a pedigree-derived matrix of relatedness across individuals (for more details on see e.g. Lynch & Walsh, 1998; Kruuk, 2004).”
Bridging the gap between the genotype and the phenotype: linking genetic variation, selection and adaptation in fishes (2008, methodology): “and Kruuk, L.E.B. (2005) How to use molecular”
Microevolutionary Response to Climatic Change (2004, methodology): “With the development of new statistical techniques (Henderson, 1986; Knott et al., 1995) and the increase of computer power it is now possible to estimate breeding values for large, unbalanced data sets, like those obtained in longterm studies on natural populations in the field (Kruuk, 2004).”
Eco-evolutionary dynamics (2016, methodology): “…eco-evolutionary dynamics was caused by the need to first develop simple and robust ways to measure selection (Lande 1982; Lande & Arnold 1983), fitness (Clutton-Brock 1991; McGraw & Caswell 1996; Coulson et al. 2006b) and genetic variance for fitness-related traits (Kruuk 2004; Kruuk et al. 2008).”
Thermal ramping rate influences evolutionary potential and species differences for upper thermal limits in Drosophila (2010, methodology): “The animal model method (Kruuk 2004) was adopted to partition the observed phenotypic variance (VP) in knockdown resistance and compute the variance components [additive (VA), environmental (VE) and phenotypic variance (VP)] using all known relationships among individuals (Wombat ver.”
Local adaptation of timing of reproduction: females are in the driver's seat (2009, positive): “Additive genetic female or male components were then included, using the pedigrees of breeding blue tits in each studied population to fit a quantitative genetic ‘animal model’ (Lynch & Walsh 1998; Kruuk 2004).”
Comparing parent–offspring regression with frequentist and Bayesian animal models to estimate heritability in wild populations: a simulation study for Gaussian and binary traits (2013, methodology): “…is a key genetic parameter in regard to whether natural selection is able to generate evolution on a trait or not, it has been the focus of many studies in various species (Mousseau & Roff 1987; Falconer & Mackay 1996; Kruuk 2004; Roffn, 2007;Hill &Kirkpatrick 2010).*Correspondence author.”
Climate change and evolution: disentangling environmental and genetic responses (2008, methodology): “…in population means Information about actual genetic — rather than phenotypic (includes an environmental component) — changes in mean trait values between generations can be achieved using predicted breeding values estimable from pedigreebased data with an ‘animal model’ approach (Kruuk 2004).”
Temperament, risk assessment and habituation to novelty in eastern chipmunks, Tamias striatus (2008, methodology): “The BLUP method provides estimates of random effects independent of other terms within a model, standardized to a mean of zero (Kruuk 2004).”
Estimating Effects and Making Predictions from Genome-Wide Marker Data (2010, methodology): “This model has also been used in evolutionary genetic studies [29] and in QTL linkage mapping studies in human pedigrees [2].”
GCTA: a tool for genome-wide complex trait analysis. (2011, background): “BLUP is widely used by plant and animal breeders to quantify the breeding value of individuals in artificial selection programs(14) and also by evolutionary geneticists.(15) Consider Equations 1 and 2, i.”
Phenotypic plasticity and evolutionary demographic responses to climate change: taking theory out to the field (2013, methodology): “Recently Lande (2009) used Gavrilets and Scheiner’s model (1993a, b) to analyse the evolutionary dynamics of linear reaction norms in a new environment, beyond the usual range of variation.”
Phenotypic changes in spring arrival: evolution, phenotypic plasticity, effects of weather and condition (2007, background): “…permitted without written consent of the publisher Clim Res 35: 5–23, 2007 that recent advances in breeding times have been smaller in long-distance migrants than in short-distance migrants or resident bird species (Lehikoinen et al. 2004, Pulido & Widmer 2005, Rubolini et al. 2007, this issue).”