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We present large sample theory for the proposed estimators and show that they are more efficient than the estimator using the true selection probabilities.
Under this model, both the uncorrected and the corrected estimates were relatively close to the true selection coefficient (uncorrected mean α̂ = −5.36, corrected mean α̂ = −4.91), however the ascertainment correction does seem to improve estimates.
Under a constant selection coefficient, the mean realized selection coefficient tracks the true selection coefficient closely during the selection phase, after which it decreases to zero during the drift phase.
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Therefore, the observed pattern could be due to the difference in true selection time rather than to a cost of adaptation if the duration of our selection phase (13 generations) falls in the range during which such transient differences would be observed.
Then, when the generation interval of the estimated GSI and PSI selection response was included in the estimate response to selection, GSI was more efficient than the PSI in all selection cycles for the estimated and true selection responses.
Married women are more likely than single women to be "tied movers," and, to the extent that is true, selection would be less of an issue for them than otherwise (i.e., their husbands would have made the immigration decision).
Furthermore, they were highly selected animals and although it is likely that some false positive selection signatures may result from random genetic drift (and other factors), many of the detected signals probably reflect true selection signatures.
Given that heterosis for wheel running was only observed in male hybrids, it raises the interesting possibility that female mice might be closer to a true selection limit as compared with males.
A "true" selection should be manifested by clones containing different inserts derived from the same gene (overlapping inserts).
The performance of statistical methods for modeling resource selection by animals is difficult to evaluate with field data because true selection patterns are unknown.
Models should estimate true selection patterns if they are to be useful in analyzing and interpreting field data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com