Linear Models for the Prediction of the Genetic Merit of Animals, 4th Edition
Linear Models for the Prediction of the Genetic Merit of Animals, 4th Edition

Author: Raphael Mrode

Publisher: CABI

Published: 2023-10-09

Total Pages: 409

ISBN-13: 1800620489

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Fundamental to any livestock improvement programme by animal scientists, is the prediction of genetic merit in the offspring generation for desirable production traits such as increased growth rate, or superior meat, milk and wool production. Covering the foundational principles on the application of linear models for the prediction of genetic merit in livestock, this new edition is fully updated to incorporate recent advances in genomic prediction approaches, genomic models for multi-breed and crossbred performance, dominance and epistasis. It provides models for the analysis of main production traits as well as functional traits and includes numerous worked examples. For the first time, R codes for key examples in the textbook are provided online. Suitable for graduate and postgraduate students, researchers and lecturers of animal breeding, genetics and genomics, this established textbook provides a thorough grounding in both the basics and in new developments of linear models and animal genetics.

Linear Models for the Prediction of Animal Breeding Values
Linear Models for the Prediction of Animal Breeding Values

Author: R. A. Mrode

Publisher:

Published: 2014

Total Pages: 343

ISBN-13: 9781780643908

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This book contains 17 chapters that describe the use of statistical analyses and models to estimate, analyse and compare the genetic parameters, breeding value and performance traits of livestock. Each chapter contains the theories and actual application of the concepts. The book has been compiled from various publications and experience in the subject area and from involvement in several national evaluation schemes over the last 14 years. Relevant references are included to indicate sources of some of the materials.

Linear Models for the Prediction of Animal Breeding Values
Linear Models for the Prediction of Animal Breeding Values

Author: R. A. Mrode

Publisher: C A B International

Published: 1996

Total Pages: 187

ISBN-13: 9780851989969

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Best Linear Unbiased Prediction (BLUP) has become the most widely accepted method for the genetic evaluation of domestic livestock. Since its introduction, the method has evolved in terms of its application to sire models, and to sire and maternal grandsire models in the early years, to animal models and multivariate analysis more recently. Despite these developments, there has been no straightforward text available on the application of linear models to the prediction of animal breeding values. This book fills this gap, providing a blend of theory and practical applications. It covers basic principles of breeding value predictions and the application of BLUP to genetic evaluations under various models. Some knowledge of basic matrix algebra and of quantitative genetics is assumed on the part of the reader, although some introductory matrix algebra is included in an appendix.

Advances in Statistical Methods for Genetic Improvement of Livestock
Advances in Statistical Methods for Genetic Improvement of Livestock

Author: Daniel Gianola

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 554

ISBN-13: 3642744877

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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.

Genetic Improvement of Farmed Animals
Genetic Improvement of Farmed Animals

Author: Geoff Simm

Publisher: CABI

Published: 2020-11-26

Total Pages: 505

ISBN-13: 1789241723

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Genetic Improvement of Farmed Animals provides a thorough grounding in the basic sciences underpinning farmed animal breeding. Relating science to practical application, it covers all the major farmed animal species: cattle, sheep, goats, poultry, pigs and aquaculture species.

Linear Models for the Predicition of Animal Breeding Values
Linear Models for the Predicition of Animal Breeding Values

Author: R.A. Mrore

Publisher:

Published: 1997

Total Pages: 186

ISBN-13:

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Genetic evaluation with different sources of recordse; The basic models; Genetic covariance between relatives; Best linear unbiased prediction of breeeding values: univariate models with one randon effect; Best linear unbiased prediction values: models with randon environmental effects; Best linear unbiased prediction of breeding values: multivariate animal models; Maternal-trait models: animal breeding and reduced animal models; Non-additive animal models; Solving linear equations; Matrix algebra; Recent fast algorithms for calculating inbreeding based on the L matrix; A method for obtaining approximate reliability for genetic evaluation under an naimal model.

Genetic Data Analysis for Plant and Animal Breeding
Genetic Data Analysis for Plant and Animal Breeding

Author: Fikret Isik

Publisher: Springer

Published: 2017-09-09

Total Pages: 409

ISBN-13: 3319551779

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This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.