TY  - BOOK
AU  - Xu,Shizhong
TI  - Quantitative Genetics
SN  - 9783030839406
U1  - 570.285 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Bioinformatics
KW  - Plant genetics
KW  - Medical genetics
KW  - Life sciences
KW  - Agricultural genome mapping
KW  - Computational and Systems Biology
KW  - Plant Genetics
KW  - Medical Genetics
KW  - Life Sciences
KW  - Agricultural Genetics
N1  - 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
N2  - 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)
UR  - https://doi.org/10.1007/978-3-030-83940-6
ER  -