04420nam 22006375 450 991025395340332120200702165331.03-319-55177-910.1007/978-3-319-55177-7(CKB)4100000000587437(DE-He213)978-3-319-55177-7(MiAaPQ)EBC5043130(PPN)204535808(EXLCZ)99410000000058743720170909d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierGenetic Data Analysis for Plant and Animal Breeding /by Fikret Isik, James Holland, Christian Maltecca1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XVII, 400 p. 360 illus., 241 illus. in color.) 3-319-55175-2 Includes bibliographical references and index.Introduction to ASReml Software -- Linear Mixed Models-A Short Review -- Covariance Structures -- Breeding Values (Additive) -- Non-additive Genetic Effects -- Multivariate Models -- Spatial Analysis -- Multi-Environment Trials -- Exploratory Marker Data Analysis -- Imputing Missing Genotypes -- Marker-Trait Association -- Genomic Relationships and GBLUP -- Genomic Selection.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readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years.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.BiometryPlant breedingPlant geneticsAgricultureAnimal geneticsBiostatisticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15020Plant Breeding/Biotechnologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L24060Plant Genetics and Genomicshttps://scigraph.springernature.com/ontologies/product-market-codes/L32020Agriculturehttps://scigraph.springernature.com/ontologies/product-market-codes/L11006Animal Genetics and Genomicshttps://scigraph.springernature.com/ontologies/product-market-codes/L32030Biometry.Plant breeding.Plant genetics.Agriculture.Animal genetics.Biostatistics.Plant Breeding/Biotechnology.Plant Genetics and Genomics.Agriculture.Animal Genetics and Genomics.570.15195Isik Fikretauthttp://id.loc.gov/vocabulary/relators/aut937025Holland Jamesauthttp://id.loc.gov/vocabulary/relators/autMaltecca Christianauthttp://id.loc.gov/vocabulary/relators/autBOOK9910253953403321Genetic Data Analysis for Plant and Animal Breeding2110417UNINA