Volume 2: Evolution and Selection of Quantitative Traits

Bruce Walsh and Michael Lynch

 You are visitor number   since 1 March 2009 

This website updates the older website for Volume 2 and incorporates the new (and on-going) changes in Volume 2. The chapters are a bit in flux, and hence numbers may quickly change.

Draft versions for many chapters are given below. The page number between chapters is rather random at the moment, and they are still unpolished in terms of linking them together. Preliminary drafts are also posted for a few chapters. These are much rougher but give an idea of the basic topics to be covered.

With these caveats in mind, please feel free to use these for courses, etc. We simply request your feedback. Please let us know of any errors, omissions, interesting/important papers we missed, etc. Don't be bashful about your own work! Once the book does indeed appear, these drafts will be removed from the website.

Updates

0. Table of Contents

  • pdf file of Detailed Table of Contents (version 9 November 2009, 21 pages). Still very rough for unfinished/not yet written chapters. Also, page numbering between chapters is essentially random.

    • I. Introduction

  • 1. Changes in quantitative characters over time

    • II. Foundations: Evolution At One And Two Loci

  • 2. Neutral Evolution In One- And Two-Locus Systems

  • 3. The Genetic Effective Size Of A Population

  • 4. The Nonadaptive Forces Of Evolution

  • 5. Changes in Genetic Variance Induced by Random Genetic Drift

  • 6. The Neutral Divergence of Quantitative Traits

  • 7. The Population Genetics of Selection

  • 8. Interaction of Selection, Mutation, and Drift

  • 9. Using Molecular Data To Detect Selection

    • III. Short-Term Response On A Single Character: Basic Concepts

  • 10. Short-Term Changes In The Mean: 1. The Breeders' Equation

  • 11. Short-Term Changes In The Mean: 2. Permanent Versus Transient Response

  • 12. Price's Theorem: A General Equation For Response

  • 13. Short-Term Changes In The Variance

  • 14. Least Squares Analysis Of Short-Term Selection Experiments

  • 15. Mixed-Model And Bayesian Analysis Of Selection Experiments

  • 16. Environmental Effects and the Response in Natural Populations

    • V. Short-Term Response On A Single Character: Beyond Individual Selection

  • 17. Family-Based Selection

  • 18. Associative Effects, Competition, Group And Kin Selection
  • 19. Selection Under Inbreeding
  • 20. Selection And Development Of Pure Lines
  • 21. Selection And Crossbreeding I. Basic Concepts
  • 22. Selection And Crossbreeding II. Advanced Topics
  • 23. Selection In Age-Structured Populations

    • VI. Population-Genetic Models of Trait Response

  • 24. The Infinitesimal Model and its extensions

  • 25. Long-Term Response: Deterministic Aspects

  • 26. Long-Term Response: Finite Populations

  • 27. Maintenance Of Quantitative Genetic Variability

    • VII. Measuring Selection

  • 28. Individual Fitness And The Measurement Of Univariate Selection

  • 29 Measuring Multivariate Selection

    • VIII. Selection On Multiple Characters

  • 30. Multivariate Response: Changes In Means

  • 31. Multivariate Response: Changes In Covariances

  • 32. Comparisons of G and its stability

  • 33. Theory Of Index Selection

  • 34. Applications Of Index Selection: Single trait improvement

  • 35. BLUP Selection

  • 36. Marker-Assisted and Genomic Selection

  • 37. Applications Of Multiple-Trait Models

  • 38. Selection and G x E: Introduction

  • 39. Selection and G x E: Advanced Topics

    • IX. Quantitative Genetics Of Continuous Functions

  • 40. Estimation; Random Regressions And Infinite-Dimensional Trait
  • 41. Selection On Functions
  • 42. Applications

    • X. Phenotypic Evolution Models

  • 43. Ecological Applications
  • 44. Sexual Selection
  • 45. Macroevolution

    • XI. Development and adaptation

  • 46. Evolution and development
  • 47. Networks and pathways
  • 48. Summary: the nature of adaptation

    • XII. Appendices

  • A1. Diffusion Theory

  • A2. Introduction To Bayesian Statistics

  • A3. MCMC Methods And Bayesian Analysis

  • A4. The Geometry Of Vectors And Matrices: Eigenvalues And Eigenvectors

  • A5. Derivatives Of Vectors And Vector-Valued Functions

    • Created 1 March 2009, last updated 12 March 2009

    Bruce Walsh. jbwalsh@u.arizona.edu . Comments welcome.