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Selection Index And Introduction To Mixed Model Methods
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Book Synopsis Selection Index and Introduction to Mixed Model Methods by : L. Dale van Vleck
Download or read book Selection Index and Introduction to Mixed Model Methods written by L. Dale van Vleck and published by Springer. This book was released on 1993-08-03 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parameters, statistics, and expected values; A little about matrix algebra; Quantifying the simple mendelian model; A short summation on population genetics; Genes identical by descent-the basis of genetic likeness. Genetic values and genetic covariances; The selection index; Determining the coeficients for selection index equations; Sire evaluation, example of application of selection index; Probability statements about true value. Superiority of selected groups; Selection index flow chart for single traits; Selection with more than one trait measured; Using records on all traits of relatives; Selection index for categorical data. Selection for embedded traits: maternal effects; Selection when traits influenced by grandmaternal and maternal effects;Fetal effects model(sire of fetus effect).
Book Synopsis Evolution and Selection of Quantitative Traits by : Bruce Walsh
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.
Book Synopsis Animal Breeding and Genetics by : Matthew L. Spangler
Download or read book Animal Breeding and Genetics written by Matthew L. Spangler and published by Springer Nature. This book was released on 2022-11-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Encyclopedia of Dairy Sciences written by and published by Academic Press. This book was released on 2011-03-25 with total page 4072 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dairy Science, Four Volume Set includes the study of milk and milk-derived food products, examining the biological, chemical, physical, and microbiological aspects of milk itself as well as the technological (processing) aspects of the transformation of milk into its various consumer products, including beverages, fermented products, concentrated and dried products, butter and ice cream. This new edition includes information on the possible impact of genetic modification of dairy animals, safety concerns of raw milk and raw milk products, peptides in milk, dairy-based allergies, packaging and shelf-life and other topics of importance and interest to those in dairy research and industry. Fully reviewed, revised and updated with the latest developments in Dairy Science Full color inserts in each volume illustrate key concepts Extended index for easily locating information
Book Synopsis SAS for Mixed Models by : Walter W. Stroup
Download or read book SAS for Mixed Models written by Walter W. Stroup and published by SAS Institute. This book was released on 2018-12-12 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Genomic Selection in Animals by : Joel Weller
Download or read book Genomic Selection in Animals written by Joel Weller and published by John Wiley & Sons. This book was released on 2016-01-04 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of whole genome selection has quickly developed into the breeding methodology of the future. As efforts to map a wide variety of animal genomes have matured and full animal genomes are now available for many animal scientists and breeders are looking to apply these techniques to livestock production. Providing a comprehensive, forward-looking review of animal genomics, Genomic Selection in Animals provides coverage of genomic selection in a variety of economically important species including cattle, swine, and poultry. The historical foundations of genomic selection are followed by chapters that review and assess current techniques. The final chapter looks toward the future and what lies ahead for field as application of genomic selection becomes more widespread. A concise, useful summary of the field by one of the world’s leading researchers, Genomic Selection in Animals fills an important gap in the literature of animal breeding and genomics.
Book Synopsis Linear mixed models. An introduction with applications in veterinary research by : Duchateau, L.
Download or read book Linear mixed models. An introduction with applications in veterinary research written by Duchateau, L. and published by ILRI (aka ILCA and ILRAD). This book was released on 1998-01-01 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Livestock Production by : Khalid Javed
Download or read book Livestock Production written by Khalid Javed and published by BoD – Books on Demand. This book was released on 2012-10-24 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innumerable publications on livestock production are available in the world market. The book under discussion has not been produced to burden the market with another such publication rather it has been brought out employing a novice format to meet the requirements of students, researchers who are working in different parts of the world in different environments.
Book Synopsis Robust Mixed Model Analysis by : Jiang Jiming
Download or read book Robust Mixed Model Analysis written by Jiang Jiming and published by World Scientific. This book was released on 2019-04-10 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models is rapidly growing. On the other hand, some of these models, such as the linear mixed models and generalized linear mixed models, are highly parametric, involving distributional assumptions that may not be satisfied in real-life problems. Therefore, it is important, from a practical standpoint, that the methods of inference about these models are robust to violation of model assumptions. Fortunately, there is a full scale of methods currently available that are robust in certain aspects. Learning about these methods is essential for the practice of mixed-effects models.This research monograph provides a comprehensive account of methods of mixed model analysis that are robust in various aspects, such as to violation of model assumptions, or to outliers. It is suitable as a reference book for a practitioner who uses the mixed-effects models, and a researcher who studies these models. It can also be treated as a graduate text for a course on mixed-effects models and their applications.
Book Synopsis Forest Genetics by : Timothy L. White
Download or read book Forest Genetics written by Timothy L. White and published by CABI. This book was released on 2007 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, which contains 20 chapters, integrates the varied subdisciplines of genetics and their applications in gene conservation, tree improvement and biotechnology. Topics covered include: genetic variation in natural forests, the application of genetics in tree improvement and breeding programmes, and genomic sequences and molecular technologies. This book will be a valuable resource for students, scientists and professionals in the plant sciences, especially forest geneticists, tree breeders, forest managers and other natural resource specialists.
Book Synopsis Biographical Memoirs by : National Academy of Sciences
Download or read book Biographical Memoirs written by National Academy of Sciences and published by National Academies Press. This book was released on 1998-07-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biographic Memoirs: Volume 73 contains the biographies of deceased members of the National Academy of Sciences and bibliographies of their published works. Each biographical essay was written by a member of the Academy familiar with the professional career of the deceased. For historical and bibliographical purposes, these volumes are worth returning to time and again.
Book Synopsis Livestock Genomics and Community-based Breeding Strategies in Low-and-Middle-Income Countries: Challenges, Opportunities and Future Perspectives by : Isidore Houaga
Download or read book Livestock Genomics and Community-based Breeding Strategies in Low-and-Middle-Income Countries: Challenges, Opportunities and Future Perspectives written by Isidore Houaga and published by Frontiers Media SA. This book was released on 2024-07-17 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low-and-Middle-Income Countries (LMICs) are home to diverse populations of livestock species adapted to various agro-ecological zones, production systems, and harsh environmental conditions. However, the livestock in LMICs have not been systematically improved and current low levels of productivity do not meet the demand for livestock products by a growing population. Recent advances in next-generation sequencing and genotyping technologies have enabled the application of genomic selection in various livestock species in some western countries with great success. Despite the low adoption of genomic breeding in LMICs livestock industry, various studies and programs were initiated and some are still ongoing. Furthermore, community-based breeding programs (CBBP) have been initiated in many LMICs with great benefits for smallholder livestock farmers. CBBPs are based on the active participation of farmers from inception through to implementation and consider their needs, views, decisions, breeding objectives, and available infrastructure. In Africa for instance, small ruminants CBBPs have generated substantial genetic gains and socioeconomic benefits for rural poor farmers. However, the current challenges affecting the data recording and genetic evaluation of the CBBPs in LMICS are yet to be fully reported. Furthermore, the CBBPs are yet to integrate genomic selection in their breeding strategies. For sustainable livestock breeding in LMICs, there is a need to assess the current status of livestock genomics and community-based breeding strategies to identify the challenges and suggest mitigating strategies and future improvement strategy plans. In this Research Topic, we aim to collect findings from past and current livestock genomics and community-based breeding programs, the challenges, the lessons learned, the opportunities, and future perspectives.
Book Synopsis Plant Adaptation and Crop Improvement by : Mark Cooper
Download or read book Plant Adaptation and Crop Improvement written by Mark Cooper and published by IRRI. This book was released on 1996 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of crop improvement; Analysis of genotype by environment interactions; Interpretation of genotype by environment interactions; Integrated approaches to plant improvement; Synthesis of strategies for crop improvement.
Download or read book Mixed Models written by Eugene Demidenko and published by John Wiley & Sons. This book was released on 2013-08-05 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.
Book Synopsis Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics by : Daniel Sorensen
Download or read book Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics written by Daniel Sorensen and published by Springer Science & Business Media. This book was released on 2007-03-22 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mixed Effects Models for Complex Data by : Lang Wu
Download or read book Mixed Effects Models for Complex Data written by Lang Wu and published by CRC Press. This book was released on 2009-11-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.
Book Synopsis Plant Breeding Reviews, Volume 24, Part 1 by : Jules Janick
Download or read book Plant Breeding Reviews, Volume 24, Part 1 written by Jules Janick and published by John Wiley & Sons. This book was released on 2010-05-11 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant Breeding Reviews, Volume 24, Part 1 presents state-of-the-art reviews on plant genetics and the breeding of all types of crops by both traditional means and molecular methods. The emphasis of the series is on methodology, a practical understanding of crop genetics, and applications to major crops.
