Genetic data analysis for plant and animal breeding

Description

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readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years.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. Front Matter ....Pages i-xvii Introduction to ASReml Software (Fikret Isik, James Holland, Christian Maltecca)....Pages 1-48 A Review of Linear Mixed Models (Fikret Isik, James Holland, Christian Maltecca)....Pages 49-86 Variance Modeling in ASReml (Fikret Isik, James Holland, Christian Maltecca)....Pages 87-106 Breeding Values (Fikret Isik, James Holland, Christian Maltecca)....Pages 107-140 Genetic Values (Fikret Isik, James Holland, Christian Maltecca)....Pages 141-163 Multivariate Models (Fikret Isik, James Holland, Christian Maltecca)....Pages 165-201 Spatial Analysis (Fikret Isik, James Holland, Christian Maltecca)....Pages 203-226 Multi Environmental Trials (Fikret Isik, James Holland, Christian Maltecca)....Pages 227-262 Exploratory Marker Data Analysis (Fikret Isik, James Holland, Christian Maltecca)....Pages 263-285 Imputing Missing Genotypes (Fikret Isik, James Holland, Christian Maltecca)....Pages 287-309 Genomic Relationships and GBLUP (Fikret Isik, James Holland, Christian Maltecca)....Pages 311-354 Genomic Selection (Fikret Isik, James Holland, Christian Maltecca)....Pages 355-384 Back Matter ....Pages 385-400