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The connection between galaxy star formation rate (SFR) and dark matter (DM)is of paramount importance for the extraction of cosmological information fromnext generation spectroscopic surveys that will target emission line starforming galaxies. Using publicly available mock galaxy catalogs obtained fromvarious semi-analytic models (SAMs) we explore the SFR-DM connection inrelation to the speed-from-light method (Feix et al. 2016) for inferring thegrowth rate, $f$, from luminosity/SFR shifts. Emphasis is given to thedependence of the SFR distribution on the environment density on scales of10s-100s Mpc. We show that the application of the speed-from-light method to anEuclid-like survey is not biased by environmental effects. In all models, theprecision on the measured $\beta=f/b$ parameter is $\sigma_\beta < 0.17$ at$z=1$. This translates into errors of $\sigma_f \sim 0.22$ and$\sigma_{(f\sigma_8)}\sim 0.1$, without invoking assumptions on the mass powerspectrum. These errors are in the same ballpark as recent analyses of theredshift space distortions in galaxy clustering. In agreement with previousstudies, the bias factor, $b$ is roughly a scale-independent, constant functionof the SFR for star forming galaxies. Its value at $z=1$ ranges from $1.2$ to$1.5$ depending on the SAM recipe. Although in all SAMs denser environmentshost galaxies with higher stellar masses, the dependence of the SFR on theenvironment is more involved. In most models the SFR probability distributionis skewed to larger values in denser regions. One model exhibits an invertedtrend where high SFR is suppressed in dense environment.

Biasing relation, environmental dependencies and estimation of the growth rate from star forming galaxies