Under the assumptions of the infinite-dimensional model (developed by Kirkpatrick and others, e.g. If N = 2, one needs to estimate three (co)variances (2 variances, 1 covariance), when N = 10, one needs to estimate 55 (co)variances (10 variances, 45 covariances). The complexity of having N classes with each their respective variance and all the covariances between them rapidly increases when more classes are included. These models present a simplification of the character-state approach. The use of a Random Regression Phenotypic Model (RRPM) or Random Regression Animal Model (RRAM) in wild populations is detailed in Nussey, Wilson & Brommer (2005, J. temperature) or an “intrinsic environmental” variable (age). The covariate can be an extrinsic environmental variable (e.g. When studying a labile trait, whose expression is not fixed during an individual’s lifetime, one may wish to quantify whether the individual-specific values or the breeding values of a trait depend on a covariate.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |