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Generalized linear mixed models in dairy cattle breeding
- Source :
- Journal of dairy science. 81(5)
- Publication Year :
- 1998
-
Abstract
- Fitness and fertility traits of dairy cattle are of increasing importance and are often measured on a discrete scale. The development and application of generalized linear mixed models to the genetic analysis of these traits are reviewed. Because current genetic evaluation systems are predominantly based on animal models, the inferential challenges of highly parameterized generalized linear mixed models are discussed. Development and adoption of new methods for drawing appropriate inferences on dispersion parameters are essential. Recent hierarchical extensions have been proposed for generalized linear mixed models, allowing for complex dispersion patterns that accommodate heteroscedasticity and outlier robustness. Steady advances in available computing power have facilitated multiple-trait analyses involving continuous and discrete measures. Full Bayesian inference via the development of Markov Chain Monte Carlo methods will continue to allow even greater generality and dimensions in the genetic model.
- Subjects :
- Generalized linear model
Male
Mathematical optimization
Heteroscedasticity
Models, Genetic
Statistics as Topic
Markov chain Monte Carlo
Breeding
Bayesian inference
Generalized linear mixed model
symbols.namesake
Dairying
Genetic model
Outlier
Genetics
symbols
Econometrics
Animals
Animal Science and Zoology
Cattle
Female
Mathematics
Food Science
Gibbs sampling
Subjects
Details
- ISSN :
- 00220302
- Volume :
- 81
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of dairy science
- Accession number :
- edsair.doi.dedup.....e3acb52cba043eb45d1ab0628ef97d9f