By Jeremy D. Finn
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Extra resources for A general model for multivariate analysis
1949) Biometrical Genetics, 1st edn, Methuen, London. 4. L. R. H. Waddington), HMSO, London, pp. 135-44. 37 3 Basic generations • varIances Variation is central to the study of quantitative traits because little can be deduced from popUlations or generations that are monomorphic. From studies of variation among genotypes, various questions concerning the genetic control of a trait can be asked, such as how much of the variation is heritable, which factors contribute to the genetic variability and what are their relative magnitudes and importance.
Variances reveal the true nature of the genetic variation and together with means provide indications of the breeding potential of the source material. 3. The basic generations do, however, provide an inefficient design for obtaining reliable estimates of the components of variances, particularly of Vi), and more efficient designs are discussed in later chapters. References 1. S. (1937) Some examples of statistical methods of research in agriculture and applied biology. J. R. Statist. Soc. , 4, 137-83.
This gene, which we shall call A, has two alleles, A+ and A -, which are responsible for the higher and lower phenotypic scores respectively of the character being studied. If we adopt the convention that PI is the parent with the higher phenotype for the character under study, then the genotypes of PI and P2 for this gene will be A +A + and A-A - while their F I hybrid (from a cross of PI ~ X P 20' or P2~ x PIO') will be A + A -. Let us further suppose that these two parents and the FI are raised in a replicated experiment and that we calculate their average phenotypic values for the character, 1\, P2, Fl.
A general model for multivariate analysis by Jeremy D. Finn