Application of random regression models in animal breeding

By L. Schaeffer. 2004

529 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/3970e0df18020745a57d9d27e2c31920ae1964a7

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Citations in the corpus

The development of animal personality: relevance, concepts and perspectives (2010, background): “However, more complicated models (e.g. Kirkpatrick & Heckman, 1989; Schaeffer, 2004) may be required when contexts do not fall along a continuum (e.”
An approach to estimate short‐term, long‐term and reaction norm repeatability (2015, background): “Schaeffer, L.R. (2004) Application of random regression models in animal breeding.”
Quantitative genetics of growth and cryptic evolution of body size in an island population (2007, methodology): “age (Kirkpatrick et al. 1990; Meyer 1998; Schaeffer 2004), a technique that allows estimation of age-specific heritabilities and genetic correlations between ages.”
Conclusions beyond support: overconfident estimates in mixed models (2008, unknown): “Random slope models are sometimes called random coefficient models (Singer and Willett 2003) or random regression (Schaeffer 2004).”
Quantifying individual variation in behaviour: mixed-effect modelling approaches. (2013, methodology): “…so are available in the statistical (Henderson 1982; Goldstein 1995; Snijders & Bosker 1999; McCulloch & Searle 2000; Pinheiro & Bates 2000; Gelman & Hill 2007; Zuur et al. 2009; Hadfield 2010; Hox 2010) and quantitative genetics literature (Lynch & Walsh 1998; Schaeffer 2004; Wilson et al. 2010).”
Random regression models to estimate test-day milk yield genetic parameters Holstein cows in Southeastern Brazil (2009, background): “According to Schaeffer (2004), onemajor application of RRM is the genetic evaluation of dairy cattle using test-day (TD) milk yield.”
The evolutionary ecology of individual phenotypic plasticity in wild populations (2007, methodology): “This type of mixed effect model, in which individual functions of continuous covariates are fitted as random effects, was introduced by Henderson (1982), and has been widely applied within the animal breeding literature (Meyer, 1998; Schaeffer, 2004 for review).”
Integrating animal temperament within ecology and evolution (2007, methodology): “Mixed-model ANOVAs with full-sib or a half-sib design (Fry, 1992), or with recent advances in random regression using the animal model (Schaeffer, 2004) could be used for estimating these parameters.”
The mathematical description of lactation curves in dairy cattle (2011, methodology): “Finally, lactation curve functions are used to fit additive genetic effects in random regression test day models (Schaeffer, 2004).”