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Numerous evaluation-selection systems have been devised to produce populations with favorable genetic responses while maintaining moderate to low rates of inbreeding.
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`pynrm` provides a simple yet powerful simulation tool to forecast the stochastic impacts of these systems.
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One major bottleneck to running these simulations is that as the number of animals bred increases, the size of the matrix grows exponentially.
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`pynrm` efficiently solves for the numerator relationship matrix values by tracing up the pedigree for only the relevant ancestors, thereby minimizing computational overhead.
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`pynrm` efficiently solves for the numerator relationship matrix values by tracing up the pedigree for only the relevant ancestors, thereby minimizing computational overhead.
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