Advances in statistical methods for genetic improvement of livestock

Bibliographic Information

Advances in statistical methods for genetic improvement of livestock

Daniel Gianola, Keith Hammond, eds.

(Advanced series in agricultural sciences, 18)

Springer-Verlag, c1990

  • : G.W.
  • : U.S.

Available at  / 9 libraries

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Note

Based on an international symposium held in Armidale, Australia, Feb. 16-20, 1987

Includes bibliographical references

Description and Table of Contents

Description

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.

Table of Contents

  • Design of experiments and breeding programmes
  • estimation of genetic parameters
  • prediction and estimation of genetic merit
  • prediction and estimation in non-linear models
  • selection and non-random mating
  • statistics and new genetic technology.

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