Linear Models For The Prediction Of The Genetic Merit Of Animals 4th Edition

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

Author : Raphael Mrode,Ivan Pocrnic
Publisher : CABI
Page : 409 pages
File Size : 42,8 Mb
Release : 2023-10-09
Category : Technology & Engineering
ISBN : 9781800620483

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Linear Models for the Prediction of the Genetic Merit of Animals, 4th Edition by Raphael Mrode,Ivan Pocrnic Pdf

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

Author : R. A. Mrode,Robin Thompson
Publisher : Unknown
Page : 343 pages
File Size : 51,6 Mb
Release : 2014
Category : Livestock
ISBN : 178064390X

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Linear Models for the Prediction of Animal Breeding Values by R. A. Mrode,Robin Thompson Pdf

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.

Advances in Statistical Methods for Genetic Improvement of Livestock

Author : Daniel Gianola,Keith Hammond
Publisher : Springer Science & Business Media
Page : 554 pages
File Size : 43,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642744877

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Advances in Statistical Methods for Genetic Improvement of Livestock by Daniel Gianola,Keith Hammond Pdf

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.

Applications of Linear Models in Animal Breeding

Author : Charles R. Henderson
Publisher : Guelph, Ont. : University of Guelph
Page : 462 pages
File Size : 44,5 Mb
Release : 1984
Category : Amélioration génétique - Méthodes statistiques
ISBN : 0889550301

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Applications of Linear Models in Animal Breeding by Charles R. Henderson Pdf

Genetic Data Analysis for Plant and Animal Breeding

Author : Fikret Isik,James Holland,Christian Maltecca
Publisher : Springer
Page : 400 pages
File Size : 40,9 Mb
Release : 2017-09-09
Category : Science
ISBN : 9783319551777

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Genetic Data Analysis for Plant and Animal Breeding by Fikret Isik,James Holland,Christian Maltecca Pdf

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.

Linear Models for the Prediction of Animal Breeding Values

Author : R. A. Mrode
Publisher : Cab International
Page : 343 pages
File Size : 46,5 Mb
Release : 2014
Category : Technology & Engineering
ISBN : 1845939816

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Linear Models for the Prediction of Animal Breeding Values by R. A. Mrode Pdf

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.

Selection Indices and Prediction of Genetic Merit in Animal Breeding

Author : N. D. Cameron
Publisher : Cabi
Page : 222 pages
File Size : 44,8 Mb
Release : 1997
Category : Science
ISBN : WISC:89063183883

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Selection Indices and Prediction of Genetic Merit in Animal Breeding by N. D. Cameron Pdf

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.

Genetic Improvement of Farmed Animals

Author : Geoff Simm,Geoff Pollott,Raphael Mrode,Ross Houston,Karen Marshall
Publisher : CABI
Page : 505 pages
File Size : 50,8 Mb
Release : 2020-11-26
Category : Medical
ISBN : 9781789241723

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Genetic Improvement of Farmed Animals by Geoff Simm,Geoff Pollott,Raphael Mrode,Ross Houston,Karen Marshall Pdf

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.

Animal Biotechnology

Author : L.A. Babiuk,J.P. Phillips,Murray Moo-Young
Publisher : Elsevier
Page : 273 pages
File Size : 49,7 Mb
Release : 2013-10-22
Category : Technology & Engineering
ISBN : 9781483286587

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Animal Biotechnology by L.A. Babiuk,J.P. Phillips,Murray Moo-Young Pdf

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.

Guidelines for Uniform Beef Improvement Programs

Author : Dixon D. Hubbard
Publisher : Unknown
Page : 84 pages
File Size : 51,9 Mb
Release : 1981
Category : Beef
ISBN : MINN:319510028777105

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Guidelines for Uniform Beef Improvement Programs by Dixon D. Hubbard Pdf

Molecular and Quantitative Animal Genetics

Author : Hasan Khatib
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 46,7 Mb
Release : 2015-03-02
Category : Science
ISBN : 9781118677407

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Molecular and Quantitative Animal Genetics by Hasan Khatib Pdf

Animal genetics is a foundational discipline in the fields of animal science, animal breeding, and veterinary sciences. While genetics underpins the healthy development and breeding of all living organisms, this is especially true in domestic animals, specifically with respect to breeding for key traits. Molecular and Quantitative Animal Genetics is a new textbook that takes an innovative approach, looking at both quantitative and molecular breeding approaches. The bookprovides a comprehensive introduction to genetic principles and their applications in animal breeding. This text provides a useful overview for those new to the field of animal genetics and breeding, covering a diverse array of topics ranging from population and quantitative genetics to epigenetics and biotechnology. Molecular and Quantitative Animal Genetics will be an important and invaluable educational resource for undergraduate and graduate students and animal agriculture professionals. Divided into six sections pairing fundamental principles with useful applications, the book's comprehensive coverage will make it an ideal fit for students studying animal breeding and genetics at any level.

Linear Models with R

Author : Julian J. Faraway
Publisher : CRC Press
Page : 284 pages
File Size : 54,7 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439887349

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Linear Models with R by Julian J. Faraway Pdf

A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models

Sustainable Food Production

Author : Paul Christou,Roxana Savin,Barry Costa-Pierce,Ignacy Misztal,Bruce Whitelaw
Publisher : Springer
Page : 1869 pages
File Size : 47,9 Mb
Release : 2012-12-05
Category : Technology & Engineering
ISBN : 1461457963

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Sustainable Food Production by Paul Christou,Roxana Savin,Barry Costa-Pierce,Ignacy Misztal,Bruce Whitelaw Pdf

Gathering some 90 entries from the Encyclopedia of Sustainability Science and Technology, this book covers animal breeding and genetics for food, crop science and technology, ocean farming and sustainable aquaculture, transgenic livestock for food and more.

Molecular Markers in Plants

Author : Robert J. Henry
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 40,8 Mb
Release : 2012-09-27
Category : Science
ISBN : 9781118472996

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Molecular Markers in Plants by Robert J. Henry Pdf

Molecular Markers in Plants surveys an array of technologies used in the molecular analysis of plants. The role molecular markers play in plant improvement has grown significantly as DNA sequencing and high-throughput technologies have matured. This timely review of technologies and techniques will provide readers with a useful resource on the latest molecular technologies. Molecular Markers in Plants not only reviews past achievements, but also catalogs recent advances and looks forward towards the future application of molecular technologies in plant improvement. Opening chapters look at the development of molecular technologies. Subsequent chapters look at a wide range of applications for the use of these advances in fields as diverse as plant breeding, production, biosecurity, and conservation. The final chapters look forward toward future developments in the field. Looking broadly at the field of molecular technologies, Molecular Markers in Plants will be an essential addition to the library of every researcher, institution, and company working in the field of plant improvement.

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Author : Daniel Sorensen,Daniel Gianola
Publisher : Springer Science & Business Media
Page : 745 pages
File Size : 48,7 Mb
Release : 2007-03-22
Category : Science
ISBN : 9780387954400

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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics by Daniel Sorensen,Daniel Gianola Pdf

This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.