Advances in Statistical Methods for Genetic Improvement of Livestock [electronic resource] /

Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates the statistical foundations of animal breeding. This text will prove useful as a reference source to animal breeders, quantitative geneticists and statisticians working in these areas. It will also serve as a text in graduate courses in animal breeding methodology with prerequisite courses in linear models, statistical inference and quantitative genetics.

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Bibliographic Details
Main Authors: Gianola, Daniel. editor., Hammond, Keith. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1990
Subjects:Life sciences., Agriculture., Cell biology., Forestry., Statistics., Life Sciences., Statistics for Life Sciences, Medicine, Health Sciences., Cell Biology.,
Online Access:http://dx.doi.org/10.1007/978-3-642-74487-7
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