Modeling Multi-Stage Selection
Abstract
In this study, we introduced and applied Truncated Multivariate Normal distributions, on top of standard quantitative genetics theory and selection index theory, to reliably model the multi-stage selection breeding programs. Compared to the previously available SelAction software (Rutten et al. 2002), this new approach properly models the change in genetic parameters in multi-stage selection, and is capable of evaluating selective breeding programs with more than three selection stages.
How to Cite:
Dekkers, J. C. & Su, H., (2019) “Modeling Multi-Stage Selection”, Iowa State University Animal Industry Report 16(1).
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