Book

Introduction to Quantitative Genetics

by Douglas Falconer, Trudy MacKay

📖 Overview

Introduction to Quantitative Genetics is a foundational textbook on the mathematical and statistical principles of genetics. The text covers inheritance patterns, genetic variance, heritability, and selection theory across plant and animal populations. The book progresses from basic concepts to advanced statistical methods in genetics, including chapters on continuous variation, population genetics, and breeding strategies. Technical content is supported by worked examples and practice problems that demonstrate real-world applications. Each chapter builds upon previous material while introducing new statistical tools and experimental approaches used in modern quantitative genetics research. The authors include historical context about key discoveries and methodological developments in the field. The text serves as both an academic reference and practical guide, bridging theoretical frameworks with applied breeding and selection programs. Its systematic approach to complex genetic principles has influenced generations of researchers and practitioners in agriculture, evolution, and human genetics.

👀 Reviews

Readers value this textbook as a clear introduction to quantitative genetics concepts, with many citing its accessibility for students new to the field. Multiple reviews note the helpful worked examples and practice problems. Likes: - Clear explanations of statistical concepts - Practical examples from plant/animal breeding - Step-by-step mathematical derivations - Comprehensive coverage of fundamentals Dislikes: - Some sections feel dated (especially molecular genetics) - Advanced topics could use more depth - Limited coverage of modern computational methods - Dense mathematical notation can be challenging From a PhD student on Goodreads: "The explanations helped me grasp heritability better than any other resource." Ratings: Goodreads: 4.22/5 (51 ratings) Amazon: 4.4/5 (31 ratings) Several reviewers mention using older editions from their professors and finding them equally valuable, suggesting the core content has remained relevant over multiple editions.

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Statistical Methods in Agriculture and Experimental Biology by Roger Mead, Robert N. Curnow, and Anne M. Hasted The book provides statistical methods for analyzing genetic experiments and breeding programs in agricultural contexts.

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🤔 Interesting facts

📚 First published in 1960, this textbook has become one of the most widely-used resources in quantitative genetics, translated into several languages including Spanish, Russian, and Japanese. 🧬 Douglas Falconer developed much of the book's material while teaching at the University of Edinburgh's Institute of Animal Genetics, where he pioneered methods for analyzing complex genetic traits. 🔬 The book introduced the concept of "realized heritability," a method for estimating genetic parameters that is still widely used in animal and plant breeding programs today. 👥 Co-author Trudy MacKay is renowned for her work on the Drosophila Genetic Reference Panel, which revolutionized the study of complex trait genetics in fruit flies. 🎓 The text has educated multiple generations of geneticists and continues to be a primary reference in university courses, even after 60+ years and multiple editions, demonstrating its enduring relevance to modern genetics.