Genetic Data Analysis for Plant and Animal...

Um unseren Shop nutzen zu können, müssen Sie Javascript in Ihrem Browser aktivieren.

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

107,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 2-3 Wochen

Sie können kein Produkt in den Warenkorb legen, da Javascript und technisch notwendige Cookies aktiviert sein müssen.

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

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readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years.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

Über den Autor

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.

Jim Holland is a research geneticist with the United States Department of Agriculture - Agriculture Research Service, and a Professor in the Department of Crop and Soil Sciences at North Carolina State University.

Christian Maltecca is an Associate Professor of quantitative genetics and breeding in the Animal Science department at North Carolina State University.

Zusammenfassung

Step-by-step data analysis examples for readers to learn quickly and apply in their own research

The first 'how to' book on analyzing genomic data for plant and animal breeding

Fills the gap between theory of quantitative genetics and software manuals for plant & animal breeding

Covers the latest methods of DNA marker analysis for plant and animal breeding

Includes supplementary material: [...]

Inhaltsverzeichnis

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.

Details

Medium:	Buch
Seiten:	420
Inhalt:	xvii 400 S. 119 s/w Illustr. 241 farbige Illustr. 400 p. 360 illus. 241 illus. in color.
ISBN-13:	9783319551753
ISBN-10:	3319551752
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Isik, Fikret Maltecca, Christian Holland, James
Auflage:	1st ed. 2017
Hersteller:	Springer International Publishing Springer International Publishing AG
Maße:	285 x 215 x 29 mm
Von/Mit:	Fikret Isik (u. a.)
Erscheinungsdatum:	02.10.2017
Gewicht:	1,272 kg

preigu-id: 110008684