We study the detectability of large-scale velocity (Doppler) effects on redshift-space galaxy clustering, by simulating galaxy surveys and combining different types of tracers of large-scale structure. We employ a set of lognormal mocks that simulate a 20.000  deg2 near-complete survey up to z=0.8, in which each galaxy mock traces the spatial distribution of dark matter of that mock with a realistic bias prescription. We find that the ratios of the monopoles of the power spectra of different types of tracers carry most of the information that can be extracted from a multitracer analysis. In particular, we show that by employing optimal multitracer weights to compute the redshift-space power spectra it will be possible to detect Doppler effects with ≳3σ, while using suboptimal weights would lower this threshold below 3σ. Finally, we investigate the potential degeneracy of these effects with the (local) non-Gaussianity parameter fNL, and how large-scale Doppler contributions could be mistaken for the signatures of primordial non-Gaussianity.