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Abstract
We provide a general framework for quantifying
the effects of genotypic selection prediction
accuracy and varying cost ratios of phenotyping
to genotyping on the economic performance of
genotypic selection relative to traditional
phenotypic selection.
Economic performance is measured using
normalized average cost per unit of genetic gain.
The economic performance of genotypic
selection declines with (1) trait heritability, (2)
relative cost of genotyping, and (3) the number
of QTL (genes) affecting the trait.
The benefits of increasing the training
population size tend to be higher for traits with
low heritability and traits affected by a larger
number of QTL. The economically optimal sizes
of the training population tend to be larger than
the sizes that are typically used in current plant
breeding programs.