Evolution and the Genetics of Populations, Volume 1: Genetic and Biometric Foundations"Wright's views about population genetics and evolution are so fundamental and so comprehensive that every serious student must examine these books firsthand. . . . Publication of this treatise is a major event in evolutionary biology."-Daniel L. Hartl, BioScience |
Contents
1 Introduction | 1 |
2 Modes of Inheritance and Reproductive Cycles | 11 |
3 The Gene | 21 |
4 Nongenic Heredity | 39 |
5 Gene and Character | 53 |
6 Types of Biological Frequency Distributions | 106 |
7 Statistical Description of Frequency Distributions | 140 |
8 Compound Distributions and Variables | 151 |
11 Analysis of Actual Frequency Distributions | 245 |
12 Description of Multivariate Distributions | 273 |
Theory | 299 |
14 Interpretation by Path Analysis | 325 |
15 The Genetics of Quantitative Variability | 373 |
16 Conclusions | 421 |
References | 432 |
| 457 | |
Common terms and phrases
alleles analysis array average backcross birth weight cells characters chromosomes classes coefficients of variability color complete components correlation crosses curve cytoplasmic data of Wright degrees of freedom determined dominance Drosophila melanogaster effects equations estimate evolution F₁ F₂ factors Figure formula frequency distribution function gametes genes genotype grade guinea pigs heredity heterozygotes hypothesis inbred strains independent indicated individuals interaction interpretation Jour large number length linear lines linkage litter little toe locus logarithmic maize males mating mean meiosis Mendelian meristic multiple mutation normal distribution number of loci observed occur P₁ P₂ parental strains path coefficients pattern percentage physiological plants plastids pleiotropy population genetics pri-¹ probability Proc produced Pxpx random ratio Redrawn from Fig regression relation residual respect sample scale segregation selective value semidominance shows species standard deviation standard error statistics studies Table theory threshold tion transformation V₁ variance Y₁