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Method to represent the distribution of QTL additive and dominance effects associated with quantitative traits in computer simulation

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Computer simulation is a resource which can be employed to identify optimal breeding strategies to effectively and efficiently achieve specific goals in developing improved cultivars. In some instances, it is crucial to assess in silico the options as well as the impact of various crossing schemes and breeding approaches on performance for traits of interest such as grain yield.
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Method to represent the distribution of QTL additive and dominance effects associated with quantitative traits in computer simulation

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