Abstract
Multivariate models are commonly used to estimate phenotypic, genetic and environmental variances, covariances, and correlations for multiple traits in plant and animal breeding programs. When traits are correlated, breeding value predictions from a multivariate model can be more accurate than univariate models. In this chapter we introduce multivariate models for two data sets: a maize inbred line multi-environment trial and pig data with pedigree information appropriate for an animal model.
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CITATION STYLE
Isik, F., Holland, J., & Maltecca, C. (2017). Multivariate Models. In Genetic Data Analysis for Plant and Animal Breeding (pp. 165–201). Springer International Publishing. https://doi.org/10.1007/978-3-319-55177-7_6
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