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The application of random regression models in turkey egg production

Published online by Cambridge University Press:  23 November 2017

A Kranis*
Affiliation:
Roslin Institute, Roslin, Midlothian, Scotland, United Kingdom
G Su
Affiliation:
Danish Institute of Agricultural Sciences, Foulum, Tjele, Denmark
D Sorensen
Affiliation:
Danish Institute of Agricultural Sciences, Foulum, Tjele, Denmark
J A Woolliams
Affiliation:
Roslin Institute, Roslin, Midlothian, Scotland, United Kingdom
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Extract

The common methodology for the genetic evaluation of the egg production in poultry is to use cumulative data. However, the source and the scale of variation in egg laying are not constant during the whole period and thus, longitudinal models might offer more accurate predictions. Random Regression Models (RRMs) allow for differences in the phenotypic trajectory within a population and for these to be decomposed for each individual into genetic and environmental components. A similar approach is widely used in dairy cattle, where RRMs have underpinned the development of test day models for genetic evaluation. The objective of this study was to investigate the application of RRMs in the egg production of turkeys.

Type
Theatre presentations
Copyright
Copyright © The American Society of International Law 2016

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References

Ali, T. E., and Schaeffer, L. R.. 1987. Accounting for covariances among test-day milk yield in dairy cows. Canadian Journal of Animal Science 67: 637-644.CrossRefGoogle Scholar