Book

Systems of Mating

📖 Overview

Systems of Mating was published in 1921 by the renowned geneticist Sewall Wright. This technical monograph outlines the mathematical principles behind different mating systems in populations and establishes core concepts for analyzing inbreeding coefficients. Wright uses path diagrams and algebraic formulas to explain how various mating patterns affect genetic relationships between individuals. The work introduces key terms and methods that became foundational for population genetics research. The text systematically addresses random mating, assortative mating, consanguineous mating, and other reproductive patterns found in nature. Wright develops statistical tools for measuring the degree of inbreeding in a population. This mathematical treatment of mating systems helped establish quantitative methods in evolutionary biology and remains influential in modern genetic research. The book's rigorous approach to analyzing breeding patterns created a framework that scientists still use to understand population dynamics.

👀 Reviews

There are not enough internet reviews to create a summary of this book. Instead, here is a summary of reviews of Sewall Wright's overall work: Readers consistently note Wright's works are highly technical and mathematically dense, making them challenging for non-specialists. Many find his seminal text "Evolution and the Genetics of Populations" requires significant background knowledge in statistics and genetics. Liked: - Clear presentation of mathematical models and statistical methods - Detailed empirical data from guinea pig breeding experiments - Comprehensive coverage of population genetics theory - Original path analysis frameworks that readers still apply today Disliked: - Complex mathematical notation deters many biology students - Dense writing style with minimal explanatory text - Limited accessibility for readers without advanced math training - Outdated terminology in older volumes Reviews on academic platforms focus on specific volumes from "Evolution and the Genetics of Populations." Volume 2 receives particular attention for its fitness landscape concept. Research Gate users rate his works 4.5/5 average, though note they serve better as reference texts than learning materials. Academic citation counts remain high, with thousands of references annually to his core papers and books.

📚 Similar books

Principles of Population Genetics by Daniel L. Hartl, Andrew G. Clark This text presents mathematical models and statistical methods for analyzing genetic variation within populations.

Evolutionary Genetics by John Maynard Smith The book examines the mechanisms of evolution through mathematical models and population genetics principles.

Genetics and Analysis of Quantitative Traits by Michael Lynch, Bruce Walsh This work provides statistical methods and genetic models for studying complex traits in populations.

The Genetical Theory of Natural Selection by Ronald Fisher The text establishes fundamental mathematical principles connecting Mendelian inheritance with Darwinian selection.

Theoretical Evolutionary Genetics by James F. Crow This book develops mathematical models for understanding gene frequency changes and evolutionary processes in populations.

🤔 Interesting facts

🧬 Sewall Wright published "Systems of Mating" in 1921 while working at the USDA, establishing foundational concepts in population genetics. 🔬 The book introduced the concept of inbreeding coefficients, which revolutionized both animal breeding practices and our understanding of evolutionary biology. 🧪 Wright developed much of his theory while studying guinea pigs at the USDA's Animal Husbandry Division, using them to test his mathematical models of inheritance. 📊 The F-statistics (FST) described in the book are still widely used today in conservation biology and population studies to measure genetic variation between populations. 🎓 Despite its complex mathematical content, "Systems of Mating" was written when Wright was just 31 years old, marking the beginning of his influential 70-year career in genetics.