Linear Models for the Prediction of the Genetic Merit of Animals - Mrode, Raphael A (Scotland's Rural College (SRUC), UK and the Intern; Pocrnic, Ivan (The University of Edinburgh, UK)
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Covering the fundamental principles of the application of linear models for the prediction of genetic merit in livestock, this new edition incorporates advances in methods of genomic prediction for pure and cross-bred animals. It provides models for the analysis of main production traits and functional traits, and includes numerous worked examples.

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Produktbeschreibung
Covering the fundamental principles of the application of linear models for the prediction of genetic merit in livestock, this new edition incorporates advances in methods of genomic prediction for pure and cross-bred animals. It provides models for the analysis of main production traits and functional traits, and includes numerous worked examples.
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Autorenporträt
Raphael Mrode is Professor of Quantitative Genetics and Genomics at Scotland's Rural College. He has been lecturing at Edinburgh University's Masters course on quantitative genetics and genome analysis since 2005, and has given lectures on mixed linear models and the use of various BLUP models for genetic prediction. His research interests include data modelling and analysis, the incorporation of molecular information in genetic evaluation procedures, the application of innovative approaches for data capture, analysis and feedback and investigating methods for generating alternative and novel phenotypes in small dairy systems in developing countries.