Selection indices and prediction of genetic merit in animal breeding
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Bibliographic Information
Selection indices and prediction of genetic merit in animal breeding
Cab International, c1997
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Note
Includes bibliographical references (p. 165-170) and index
Description and Table of Contents
Description
This book describes the methodology for predicting the genetic merit of animals in the context of genetic improvement in an animal breeding programme. Information on an animal and its relatives, on either the characteristic to be improved or from other traits, can be used to predict the animal's genetic merit, taking account of the relationships between measurements and the economic values of traits. The methodology is developed from first principles, without unnecessary detail or complexity, and all the required statistical and mathematical concepts are fully described in the book. The text discusses the methods for combining different sources of information and illustrates their use with examples of breeding programmes in cattle, sheep, pigs and poultry. A series of questions with detailed answers is included in the book, to help reinforce the ideas and provide some practical experience in the prediction of genetic merit. The text is aimed at final year undergraduate and first year postgraduate students of quantitative genetics and animal breeding.
Table of Contents
1: Introduction to variance 2: ANOVA in a quantitative genetics framework 3: Regression and correlation 4: Identification of animals of high genetic merit 5: Information from relatives 6: Selection index methodology 7: Examples of selection objectives and criteria 8: Factors affecting the rate of genetic improvement 9: Performance testing, progeny testing and MOET 10: Simultaneous prediction of breeding values for several animals 11: Prediction of breeding values and environmental effects 12: Multivariate breeding value prediction 13: Breeding values with a gene of large effect 14: Breeding values for binary traits I: :Appendix: Matrix algebra II: Questions III: Answers IV: References V: Index
by "Nielsen BookData"