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To control for differences between tanks, we added a random tank effect to each model to capture the assumption that the reproductive performance of each fish depends on the other fish in the same tank.
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Finally, the random tank-test-day effects for endurance and the random batch-tank effects for susceptibility explained a relatively small fraction of the underlying liability variances (posterior means of 11%and7%7%, respectively).
Atlantic salmon post smolts (Aquagen strain) with a start weight at day 0 of 390.5 ± 3.3 g, (N = 900, n = 75 per tank) in Experiment 1 and 359.5 ± 18.9 g, (mean ± SEM., N = 27, n = 9 from three random tanks) in Experiment 2 (see below) were stocked in indoor tanks.
Include random tanks, turrets, and light vehicles.
Population characteristics in the random-catch tanks, as expected, stayed relatively even.
Data for the percent average weekly buoyant weight gain of the explants were analyzed with a nested ANOVA using symbiont Type (fixed, two levels), Temperature (fixed, two levels), Tank (random, three levels, nested within temperature) as factors in the model.
The random, historical milk tank sampling survey provides evidence that for dairy herds (with daily clinical surveillance) in southern Belgium, including the province of Liège (near to the epicentre), specific BT antibodies were absent from milk at the beginning of 2006.
In addition to the breeding value, Animal, the random effect of tank was included in all models as this improved the fit of the MCMCglmm.
For growth and CF analyses, the individual fish data were analyzed by analysis of variance in a hierarchical model including the fixed effect of training regime and the random effect of tank within regime.
The study assessed the physical and mental responses of 112 random participants to a tank containing varying amount of fish.
Fish were individually removed from the stock tank at random and anaesthetised in benzocaine (0.05 g/L water), standard length measured using vernier callipers to 0.01 cm and weighed to 0.01 g.
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