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Only time to reach half maximum populations and decline rates of yeasts, which were higher as concentrations of NaCl or KCl increased, were affected, and correspondingly modelled, as a function of salt mixtures.
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These variables allow us to determine the maximum population and the average population on the train.
The environment was constrained with a fixed maximum population and was designed so that individual organisms would be randomly culled with a frequency proportional to the inverse of the remaining capacity in the environment.
These groups share features of their life cycles, as most of them are cyclical parthenogens, but they differ in their maximum growth rate, generation time, and maximum population density and size.
For every experiment performed with this model, 1000 was used as the maximum population size and genome size.
We determined the maximum population size and maximum growth rate from the biomass growth data at 10 min intervals for 96 hours (420 580 nm optical density).
Phage-resistance was measured as the maximum population size and maximum growth rate of the bacteria in the presence of phages using the biomass growth data recorded for 96 hours at 10 min intervals (420 580 nm optical density).
Growth kinetics determinations with two of the brands that supported growth had calculated lag times, generation times, and maximum population densities of 4.4 and 2.2 h, 1.4 and 10.8 h, and 7.3 and 6.9 Log(CFU/g) when rehydrated to 35% moisture and held at 30 °C.
Larger evacuation radii were found to substantially increase the average and maximum population evacuation demands and diminish the initial spike in evacuation demands present for smaller radii.
The 1.5 inch seeding depth resulted in close to maximum plant populations and yielded more than the 2.0 inch seeding depth (but similar to the 1.0 and 2.5 inch seeding depths) when planting in mid-May in 2013 or early June in 2014 on silt loam soils at this site.
With these minimum and maximum population sizes we estimated geometric means for each species and country as (e((log(minimum+1)+log(maximum+1))/2))), which is appropriate for data of exponential nature as is the case for population size.
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