Overview
- Authors:
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Fikret Isik
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Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, USA
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James Holland
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United States Department of Agriculture – Agricultural Research Service, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, USA
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Christian Maltecca
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Department of Animal Science, North Carolina State University, Raleigh, USA
- 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: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
Pages i-xvii
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- Fikret Isik, James Holland, Christian Maltecca
Pages 1-48
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- Fikret Isik, James Holland, Christian Maltecca
Pages 49-86
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- Fikret Isik, James Holland, Christian Maltecca
Pages 87-106
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- Fikret Isik, James Holland, Christian Maltecca
Pages 107-140
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- Fikret Isik, James Holland, Christian Maltecca
Pages 141-163
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- Fikret Isik, James Holland, Christian Maltecca
Pages 165-201
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- Fikret Isik, James Holland, Christian Maltecca
Pages 203-226
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- Fikret Isik, James Holland, Christian Maltecca
Pages 227-262
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- Fikret Isik, James Holland, Christian Maltecca
Pages 263-285
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- Fikret Isik, James Holland, Christian Maltecca
Pages 287-309
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- Fikret Isik, James Holland, Christian Maltecca
Pages 311-354
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- Fikret Isik, James Holland, Christian Maltecca
Pages 355-384
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Back Matter
Pages 385-400
About this book
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.
Authors and Affiliations
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Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, USA
Fikret Isik
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United States Department of Agriculture – Agricultural Research Service, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, USA
James Holland
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Department of Animal Science, North Carolina State University, Raleigh, USA
Christian Maltecca
About the authors
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.