LEADER 04420nam 22006375 450 001 9910253953403321 005 20200702165331.0 010 $a3-319-55177-9 024 7 $a10.1007/978-3-319-55177-7 035 $a(CKB)4100000000587437 035 $a(DE-He213)978-3-319-55177-7 035 $a(MiAaPQ)EBC5043130 035 $a(PPN)204535808 035 $a(EXLCZ)994100000000587437 100 $a20170909d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenetic Data Analysis for Plant and Animal Breeding /$fby Fikret Isik, James Holland, Christian Maltecca 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVII, 400 p. 360 illus., 241 illus. in color.) 311 $a3-319-55175-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction 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. 330 $aThis 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readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years.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. 606 $aBiometry 606 $aPlant breeding 606 $aPlant genetics 606 $aAgriculture 606 $aAnimal genetics 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aPlant Breeding/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/L24060 606 $aPlant Genetics and Genomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L32020 606 $aAgriculture$3https://scigraph.springernature.com/ontologies/product-market-codes/L11006 606 $aAnimal Genetics and Genomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L32030 615 0$aBiometry. 615 0$aPlant breeding. 615 0$aPlant genetics. 615 0$aAgriculture. 615 0$aAnimal genetics. 615 14$aBiostatistics. 615 24$aPlant Breeding/Biotechnology. 615 24$aPlant Genetics and Genomics. 615 24$aAgriculture. 615 24$aAnimal Genetics and Genomics. 676 $a570.15195 700 $aIsik$b Fikret$4aut$4http://id.loc.gov/vocabulary/relators/aut$0937025 702 $aHolland$b James$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMaltecca$b Christian$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910253953403321 996 $aGenetic Data Analysis for Plant and Animal Breeding$92110417 997 $aUNINA