Quantitative Genetics

1. Auflage 2022
ISBN: 978-3-030-83939-0
Verlag: Springer International Publishing

Buch, Englisch, 414 Seiten, HC runder Rücken kaschiert, Format (B × H): 215 mm x 285 mm, Gewicht: 1300 g

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).

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Xu, Shizhong

Fachgebiete

• Naturwissenschaften Biowissenschaften Botanik Pflanzenreproduktion, Verbreitung, Genetik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Biochemie (nichtmedizinisch)
• Naturwissenschaften Biowissenschaften Tierkunde / Zoologie Tiergenetik, Reproduktion
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik

Inhaltsverzeichnis

Preface.- About the Author.- 1 Introduction to Quantitative Genetics.- 2 Review of Mendelian Genetics.- 3 Basic Concept of Population Genetics.- 4 Review of Elementary Statistics.- 5 Genetic Effects of Quantitative Traits.- 6 Genetic Variances of Quantitative Traits 7 Environmental Effects and Environmental Errors.- 8 Major Gene Detection and Segregation Analysis.- 9 Resemblance Between Relatives.- 10 Estimation of Heritability.- 11 Identity-by-Descent and Coancestry Coefficient.- 12 Mixed Model Analysis of Genetic Variances.- 13 Multiple Traits and Genetic Correlation Between Traits.- 14 Concept and Theory of Selection.- 15 Methods of Artificial Selection.- 16 Selection Index and Best Linear Unbiased Prediction.- 17 Methods of Multiple Trait Selection.- 18 Mapping Quantitative Trait Loci.- 19 Genome-wide Association Studies.- 20 Genomic Selection.- Index.

Über Autor(innen)

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.