Quantitative Genetics / by Shizhong Xu
By: Xu, Shizhong, (Geneticist), autor
Material type:
E-bookPublisher: Cham : Springer International Publising, 2022Edition: First edition 2022.Description: 1 recurso en línea (XVII, 414 páginas) : 1 ilustraciones.ISBN: 9783030839406.Subject: Genética
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QH430 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.16032083 |
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| QH430 2022 EB The Book of Genes and Genomes | QH430 2022 EB The Catharanthus Genome | QH430 2022 EB CRISPR : A Machine-Generated Literature Overview | QH430 2022 EB Quantitative Genetics | QH430 2023 EB Genes, Environments and Interactions : Evolutionary and Quantitative Genetics Brought Up-to-date | QH430 .B373 2015 EB Code Biology : A New Science of Life | QH430 .B76 2012 EB Population genetics |
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.
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).
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