Optimizing mate selection: a genetic algorithms approach.
Optimizing mate selection: a genetic algorithms approach.
Summary: This work presents an approach, based on algorithm heuristics, which after the selection of bulls and cows belonging to a mating group, recommends the best combinations of mating to maximize the GQI, taking into account both: directional values of expected differences of progeny and penalizations on mating restrictions, such as inbreeding and poor expected performance on traits.
Publication year: 2019
Types of publication: Abstract in annals or event proceedings
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