Advances In Statistical Methods For Genetic Improvement Of Livestock
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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.
Advances in Statistical Methods for Genetic Improvement of Livestock by Daniel Gianola,Keith Hammond Pdf
Statistical methods in animal improvement: historical overview. Mixed model methodology and the box-cox theory of transformations: a Bayesian approach. Models for discrimination between alaternative modes of inheritance. Design of experiments and breeding programs. Considerations in the design of animal breeding experiments. Use of mixed model methodology in analysis of designed experiments. Statistical aspects of design of animal breeding programs; a comparison among various selection strategies. Optimum designs for sire evaluation schemes. Estimation of genetic parameters. Computational aspects of likelihood-based inference for variance components. Parameter estimation in variance component models for binary response data. Estimation of genetic parameters in non linear models. Prediction and estimation of genetic merit. A framework for prediction of breeding value. BLUP (Best Linear Unbiased Prediction) and Beyond. Connectedness in genetic evaluation. Prediction and estimation in non-linear models. Generalized linear models and applications to animal breeding. Analysis of linear and non-linear growth models with randon parameters. Survival endurance and censored observations in animal breeding. Genetic evaluation for discrete polygenic traits in animal breeding. Selection and non-random mating. Accounting for selection and mating biases in genetic evaluation. Statistical inferences in populations Undergoing selection of non-random mating. Statistics and new genetic technology. Reproductive technology and genetic.
Application of New Genetic Technologies to Animal Breeding by Association for the Advancement of Animal Breeding and Genetics, Pdf
The 16th Biennial Conference of the Association for the Advancement of Animal Breeding and Genetics (AAABG) gathers together scientists, extension workers, producers and industry personnel to review developments in the application of new technologies to animal breeding. Conference presentations include 30 invited reviews and papers, and 95 contributed papers. All papers are peer-reviewed, and cover session topics that focus on genetic evaluation systems, gene expression profiling, identification and manipulation of quantitative trait loci, progress in applied programs and advanced statistical and computing techniques. Industry applications are discussed for improvement in production, health and reproduction of domestic livestock, aquaculture species and even crocodiles and ostriches. Institutions and industries in Australia, New Zealand, USA, South Africa, South-East Asia and Japan are represented with significant participation of major Cooperative Research Centres. These proceedings contain the full text of all contributed papers and summaries of the invited reviews which are published separately in the Australian Journal of Experimental Agriculture.
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.
Animal Breeding and Genetics by Matthew L. Spangler Pdf
This newly updated and revised volume of the Encyclopedia of Sustainability Science and Technology (ESST) details the role of Animal Breeding and Genetics in the sustainability of animal agriculture. The volume covers scientific principles and applications includes the current science used to advance cattle, poultry, swine,sheep, and equine populations, as well as the future role of techniques such as gene editing. International leaders in the field explain foundational concepts such as heritability, the covariance between relatives, statistical approaches to predicting the genetic merit of individuals, and the development and advancement of molecular techniques to elucidate changes in the DNA sequence that underly phenotypic variation. The use of genetic-based tools to improve animal agriculture and meet consumer demands across species is treated in detail. Readers will gain an understanding of how global livestock producers have implemented advanced genetic selection tools and used them to improve reproduction, production, efficiency, health, and sustainability. The interactions of genetics and production environments, and the genetic components of the complex interactions among animals are also discussed. The future of Animal Breeding and Genetics, including the challenges and opportunities that exist in feeding a growing world population, are addressed.
Handbook of Statistical Genetics by David J. Balding,Martin Bishop,Chris Cannings Pdf
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.
Future Developments in the Genetic Improvement of Animals by James Stuart Flinton Barker,Keith Hammond,Alexander E. McClintock Pdf
A general view of animal breeding; Molecular genetics; Immunogenetics; Reproductive biology; Economic aspects of developing breeding objetives; Mixed model theory; Population size; Electronics.
Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger
Author : Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger Publisher : SAS Institute Page : 608 pages File Size : 46,5 Mb Release : 2018-12-12 Category : Computers ISBN : 9781635261523
SAS for Mixed Models by Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger Pdf
Discover the power of mixed models with SAS. Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS. This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: Random-effect-only and random-coefficients models Multilevel, split-plot, multilocation, and repeated measures models Hierarchical models with nested random effects Analysis of covariance models Generalized linear mixed models This book is part of the SAS Press program.
Bridging Research Disciplines to Advance Animal Welfare Science by Irene Camerlink Pdf
In recent years there has been a huge rise in interdisciplinary and multidisciplinary research in animal sciences which has accelerated improvements in animal welfare. Down to earth and practical, this book gives guidance on how cross-disciplinary research can advance animal welfare. The aim of the book is to help researchers and graduate animal science students to understand how to advance animal welfare through the integration of disciplines.
Nonlinear Models for Repeated Measurement Data by Marie Davidian Pdf
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
Analysis of Variance for Random Models, Volume 2: Unbalanced Data by Hardeo Sahai,Mario M. Ojeda Pdf
Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.
Animal breeding has been complicated by persisting factors across species, cultures, geography, and time. In Made to Order, Margaret E. Derry explains these factors and other breeding concerns in relation to both animals and society in North America and Europe over the past three centuries. Made to Order addresses how breeding methodology evolved, what characterized the aims of breeding, and the way structures were put in place to regulate the occupation. Illustrated by case studies on important farm animals and companion species, the book presents a synthetic overview of livestock breeding as a whole. It gives considerable emphasis to genetics and animal breeding in the post-1960 period, the relationship between environmental and improvement breeding, and regulation of breeding as seen through pedigrees. In doing so, Made to Order shows how studying the ancient human practice of animal breeding can illuminate the ways in which human thinking, theorizing, and evolving characterize our interactions with all-natural processes.
Biometrics - Volume II by Susan R. Wilson,Conard Burden Pdf
Biometrics is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Biometry is a broad discipline covering all applications of statistics and mathematics to biology. The Theme Biometrics is divided into areas of expertise essential for a proper application of statistical and mathematical methods to contemporary biological problems. These volumes cover four main topics: Data Collection and Analysis, Statistical Methodology, Computation, Biostatistical Methods and Research Design and Selected Topics. These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
This volume presents selected issues in the complex and diverse science of animal husbandry. The use of computer programs provides an opportunity to improve breeding and optimize farm management. At the same time, the use of traditional breeding methods is also of decisive importance. Knowledge of animal welfare and animal wellness is of great help in controlling animal health issues and in economic production. In the biological processes of reproduction of dairy cows, the events of the 100 days after calving are of fundamental importance. Production systems influence the process of product production, in which the relationship between animal products and human health goes far beyond animal husbandry, and to which the issue of greenhouse gases is also connected. The quality of manufactured meat products is influenced by both on-farm and off-farm factors, but good meat cannot be produced from low-quality animals, even with excellent slaughterhouse work. Background knowledge of animal health ‒ including the microbiome in the digestive tract, which makes use of the feed ‒ makes this activity more effective, which is of particular importance in the case of broiler chickens. Knowing the behavioural characteristics of animals (rams) enables better management. Many horse breeds are capable of artificial gaits as a result of breeding and selection processes. Comparative knowledge of the movements of these horse breeds also helps to understand their differences. The quality of life of animals and the quality of manufactured products are also affected by polycyclic aromatic hydrocarbons from the environment, which, being stored and enriched in fat-containing tissues, can also have adverse effects on the human consumer. Each topic presented not only offers specialist knowledge but makes interesting reading in its own right.