Sustainable Food Production

2013 Edition
| Editors: Paul Christou, Roxana Savin, Barry A. Costa-Pierce, Ignacy Misztal, C. Bruce A. Whitelaw

Animal Breeding, Modeling in

  • Lawrence R. Schaeffer
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-5797-8_335

Definition of the Subject

Modeling in animal breeding involves describing the major factors that influence the performance ability or production level of animals in order to predict the genetic merit of future progeny for that ability. Successful modeling depends on good record collection systems, accurate pedigree records, and sophisticated statistical models. Models have evolved over time as computer technology has advanced. Genetic evaluation of dairy bulls began in the early 1930s using simple daughter averages for milk production in selection index procedures of Lush and his students [1]. Genetic evaluation systems spread to all livestock and to many countries due to Lush. Henderson [2] introduced best linear unbiased prediction (BLUP) around 1950, and this methodology is still widely used in animal breeding except that the models are more detailed and complex. Gianola and others [3, 4] taught animal breeders how to use Bayesian methods which are especially useful for...

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Animal and Poultry ScienceCentre for Genetic Improvement of Livestock, University of GuelphGuelphCanada