Download or read book Linear Models for the Prediction of the Genetic Merit of Animals 4th Edition written by Raphael Mrode and published by CABI. This book was released on 2023-10-09 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Linear Models for the Prediction of Animal Breeding Values written by R. A. Mrode and published by . This book was released on 2014 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Linear Models for the Prediction of Animal Breeding Values written by R. A. Mrode and published by C A B International. This book was released on 1996 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Linear Models for the Prediction of Animal Breeding Value written by and published by . This book was released on 2014 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of mixed linear models in the prediction of genetic merit in pigs written by Eildert Groeneveld and published by . This book was released on 1993 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Statistical Methods for Genetic Improvement of Livestock written by Daniel Gianola and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Genetic Improvement of Farmed Animals written by Geoff Simm and published by CABI. This book was released on 2020-11-26 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Applications of Linear Models in Animal Breeding written by Charles R. Henderson and published by Guelph, Ont. : University of Guelph. This book was released on 1984 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear Models for the Predicition of Animal Breeding Values written by R.A. Mrore and published by . This book was released on 1997 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Linear Models for the Prediction of Animal Breeding Values written by R. A. Mrode and published by Cab International. This book was released on 2014 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prediction of producing desirable traits in offspring such as increased growth rate or superior meat, milk and wool production is a vital economic tool to the animal scientist. Summarizing the latest developments in genomics relating to animal breeding values and design of breeding programs, this new edition includes models of survival analysis, social interaction and sire and dam models, as well as advancements in the use of SNPs in the computation of genomic breeding values.
Download or read book Genetic Data Analysis for Plant and Animal Breeding written by Fikret Isik and published by Springer. This book was released on 2017-09-09 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Foundations of Linear and Generalized Linear Models written by Alan Agresti and published by John Wiley & Sons. This book was released on 2015-02-23 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than 400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.
Download or read book Animal Biotechnology written by L.A. Babiuk and published by Elsevier. This book was released on 2013-10-22 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of biotechnology has the potential to develop a variety of novel or better quality products for the treatment of a large number of diseases in livestock. In addition, as we understand more about the reproductive physiology of animals, the potential exists to dramatically increase the productivity of animals through better therapeutics and diagnostics for the control of many infectious diseases. Productivity can also be increased through animal breeding strategies including gene transfer, micromanipulation of embryos and gamete sex selection. As well as being a valuable reference to current knowledge in these areas, this first supplement to Comprehensive Biotechnology also looks at societal concerns over the use of antibiotics and chemical residues in meat and milk products, which are forcing biotechnologists to investigate more natural means of controlling infection by stimulating the animal's own immune system to combat infection. The identification of a variety of cytokines which are involved in regulating immune responses provides opportunities to use the animal's natural defence mechanisms to combat many infections or increase the animal's resistance to such infections. These approaches should provide tools for eventual elimination of specific diseases from counties, regions or whole continents.
Download or read book Evolution and Selection of Quantitative Traits written by Bruce Walsh and published by Oxford University Press. This book was released on 2018-06-21 with total page 1504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative traits-be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene-usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences.
Download or read book Genetics and Analysis of Quantitative Traits written by Michael Lynch and published by Sinauer Associates Incorporated. This book was released on 1998-01 with total page 980 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.
Download or read book Selection Indices and Prediction of Genetic Merit in Animal Breeding written by N. D. Cameron and published by Cabi. This book was released on 1997 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction of variance; Anova in quanatiatitve genetics framework; Regression and correlation; Indentification of animals of high genetic merit; Information from relatives; Selection index methodology; Examples of selection objectives and criteria; Factrors affecting the rate of genetic improvement; Performance testing progeny testing and MOET; Simultaneous prediction of breeding values and environmental effects; Multivariate breeding values prediction; Breeding values with a gene of known large effect; Breeding values for binary traits.
Download or read book Guidelines for Uniform Beef Improvement Programs written by Dixon D. Hubbard and published by . This book was released on 1981 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
