Genetic Data Analysis for Plant and Animal Breeding

Fikret Isik, James Holland, Christian Maltecca (Autoren)

Buch | Hardcover

XVII, 400 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-55175-3 (ISBN)

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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readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years.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.

Fikret Isik is a Professor of quantitative genetics in the Department of Forestry and Environmental Resources and the Associate Director of the Tree Improvement Program at North Carolina State University.

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.

Erscheinungsdatum	14.10.2017
Zusatzinfo	XVII, 400 p. 360 illus., 241 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	210 x 279 mm
Gewicht	1267 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Themenwelt	Naturwissenschaften ► Biologie
Schlagworte	agricultural science • Agriculture • Animal Genetics and Genomics • Associate genetics • Biomedical and Life Sciences • Biostatistics • Biotechnology • Botany & plant sciences • Botany & plant sciences • Genetics (non-medical) • genomic selection • Life sciences: general issues • mixed models • Plant and animal breeding • Plant Breeding/Biotechnology • plant genetics & genomics • Plant Genetics & Genomics • Quantitative genetics • Zoology & animal sciences • Zoology & animal sciences
ISBN-10	3-319-55175-2 / 3319551752
ISBN-13	978-3-319-55175-3 / 9783319551753
Zustand	Neuware