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Full 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.
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.
