1995
DOI: 10.1111/j.1095-8649.1995.tb01610.x
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Effects of prey density and short term food deprivation on the growth and survival of American shad larvae

Abstract: Growth and survival of 16-and 18-day-old American larvae (Alosa sapidissima) increased with prey density (0, 500, and 1000 Artemia l 1 ), though differences were not always significant. Significant differences were not observed in growth parameters and survival for larvae fed 500 v. 1000 Artemia l 1 in laboratory experiments. Food deprivation for as little as 2 days had significant effects on survival but growth effects were not detectable until 4 days of starvation. These findings have application to the Susq… Show more

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Cited by 23 publications
(22 citation statements)
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“…Some of the remaining mortality taking place during the next 2 weeks was size-selective, and may have been due to the loss of larvae that had been only partly successful in their start feeding. Such a delay of starvation related mortality in slow growing populations has been observed in herring (Werner & Blaxter, 1980), cod Gudus morhuu L., and shad Alosu supidissima Wilson (Otter&, 1993;Johnson & Dropkin, 1995).…”
Section: Discussionmentioning
confidence: 83%
“…Some of the remaining mortality taking place during the next 2 weeks was size-selective, and may have been due to the loss of larvae that had been only partly successful in their start feeding. Such a delay of starvation related mortality in slow growing populations has been observed in herring (Werner & Blaxter, 1980), cod Gudus morhuu L., and shad Alosu supidissima Wilson (Otter&, 1993;Johnson & Dropkin, 1995).…”
Section: Discussionmentioning
confidence: 83%
“…SIMPER also allows for the identification of TABLE 2. Prey and American shad stocking densities from Johnson and Dropkin (1995) and Riley et al (2012). The stocking densities given on a per-liter basis represent the values used in the experiments.…”
Section: Methodsmentioning
confidence: 99%
“…Fish growth performance among treatments were evaluated with the following parameters: specific growth rate (SRG) (Johnson and Dropkin, 1995), calculated as: SGR = (eg-1) X 100, where g = (ln W2 -ln W1) x (T2 -T1) -1; W2 and W1 are weights (g) on days t2 and t1, respectively (Houde and Schekter, 1981) and coefficient of variation (CV) of weight were then calculated (Jobling, 1994). Data are expressed as means ± SE and were analyzed by one-way ANOVA.…”
mentioning
confidence: 99%