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Genetic Data Analysis for Plant and Animal Breeding

  • Fikret Isik
  • James Holland
  • Christian Maltecca
Book

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Fikret Isik, James Holland, Christian Maltecca
    Pages 1-48
  3. Fikret Isik, James Holland, Christian Maltecca
    Pages 49-86
  4. Fikret Isik, James Holland, Christian Maltecca
    Pages 87-106
  5. Fikret Isik, James Holland, Christian Maltecca
    Pages 107-140
  6. Fikret Isik, James Holland, Christian Maltecca
    Pages 141-163
  7. Fikret Isik, James Holland, Christian Maltecca
    Pages 165-201
  8. Fikret Isik, James Holland, Christian Maltecca
    Pages 203-226
  9. Fikret Isik, James Holland, Christian Maltecca
    Pages 227-262
  10. Fikret Isik, James Holland, Christian Maltecca
    Pages 263-285
  11. Fikret Isik, James Holland, Christian Maltecca
    Pages 287-309
  12. Fikret Isik, James Holland, Christian Maltecca
    Pages 311-354
  13. Fikret Isik, James Holland, Christian Maltecca
    Pages 355-384
  14. Back Matter
    Pages 385-400

About this book

Introduction

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readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years.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

Keywords

Associate genetics Genomic selection Mixed models Plant and animal breeding Quantitative genetics

Authors and affiliations

  • Fikret Isik
    • 1
  • James Holland
    • 2
  • Christian Maltecca
    • 3
  1. 1.Department of Forestry and Environmental ResourcesNorth Carolina State UniversityRaleighUSA
  2. 2.United States Department of Agriculture – Agricultural Research Service, Department of Crop and Soil SciencesNorth Carolina State UniversityRaleighUSA
  3. 3.Department of Animal ScienceNorth Carolina State UniversityRaleighUSA

Bibliographic information