Overview
- Provides simple derivation for each formula
- Shares R codes to perform data analysis and statistical tests unlike other texts
- Offers the first textbook suitable for an upper undergraduate course
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Table of contents (20 chapters)
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Front Matter
Keywords
About this book
The intended audience of this textbook are plant and animal breeders, upper-level undergraduate and graduate students in biological and agricultural science majors. Statisticians who are interested in understanding how statistical methods are applied to genetics and agriculture can benefit substantially by reading this book. One characteristic of this textbook is represented by three chapters of technical reviews for Mendelian genetics, population genetics and preliminary statistics, which are prerequisites for studying quantitative genetics. Numerous examples are provided to illustrate different methods of data analysis and estimation of genetic parameters. Along with each example of data analyses is the program code of SAS (statistical analysis system).
Authors and Affiliations
About the author
Shizhong Xu is Professor of Genetics and Statistics at University of California Riverside. He earned a BS degree in Animal Sciences at Shenyang Agricultural University (China), a MS degree in Quantitative Genetics at Northeast Agricultural University (China) and a PhD in Quantitative Genetics at Purdue University. He teaches two courses at UCR: Statistics for Life Sciences (STAT231B) and Quantitative Genetics (BPSC148). His research covers theoretical quantitative genetics, biostatistics and statistical genomics. He specializes in linear mixed models, generalized linear mixed models and Bayesian analysis. He published about 170 technical journal articles and two textbooks (including this one). He served as associate editors for journals of Heredity, Genetic Research, Molecular Biology and Evolution, and International Journal of Plant Genomics. He currently serves as associate editors for The Crop Journal and Forestry Research.
Bibliographic Information
Book Title: Quantitative Genetics
Authors: Shizhong Xu
DOI: https://doi.org/10.1007/978-3-030-83940-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-83939-0Published: 19 January 2022
Softcover ISBN: 978-3-030-83942-0Published: 20 January 2023
eBook ISBN: 978-3-030-83940-6Published: 19 January 2022
Edition Number: 1
Number of Pages: XVII, 414
Number of Illustrations: 1 b/w illustrations
Topics: Biostatistics, Computational Biology/Bioinformatics, Plant Genetics and Genomics, Gene Expression, Biochemistry, general, Animal Genetics and Genomics