Next generation breeding values
2012
The current benchmark for genetic value prediction is program-wide multivariate Best
Linear Unbiased Prediction of measured traits, from which harvest age traits are
predicted and then combined into economic indices. This is a very flexible
framework, but is demanding to implement and not many programs have done so.
Models for hybrid populations, calculation of standard errors for harvest traits and
indices for genotypes, families and larger deployment units, economic models for risk
traits, and integration of synthetic variables derived from markers information into
evaluation are all in the process of operational adoption There are other advances,
ranging from accounting for indirect genetic effects to integration of genome-wide
molecular information for which there is still much work needed to allow them to be
used on a program-wide scale. For operational implementation, both the
computational systems and their supporting database systems need to be developed
to store and process the increasing amounts of information used.
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