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<br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />65 <br /> <br />before re-weighing. Dry weight of larvae and weight of lipids were calculated from <br /> <br /> <br />before- and after-extraction weights. Data are presented as percentage total dry carcass <br /> <br />weight. <br /> <br />2. Statistical Analyses <br /> <br /> <br />All statistical analyses were accomplished using SAS v 6.04. A repeated- <br /> <br /> <br />measures ANCOV A (SAS v. 6.04) was used to test differences in lipid levels, length, <br /> <br /> <br />and body weight over time for each temperature treatment. The repeated measures were <br /> <br /> <br />individual tanks within treatments. A pair-wise comparison of treatment means was used <br /> <br /> <br />to test treatment differences each sampling period. To avoid pseudo-replication, means <br /> <br /> <br />of each tank within treatments were used for analysis instead of individual larval <br /> <br /> <br />observations. Models and data transformations were performed based on analysis of <br /> <br /> <br />residual plots and general assumptions of the ANOV A model. Based on known <br /> <br /> <br />differences determined by statistical analysis, three approaches to describing and <br /> <br /> <br />detecting trends in the laboratory were in turn used to classify wild-caught larvae of <br /> <br /> <br />unknown feeding history. <br />To compare trends in larval growth over time and between temperature and <br /> <br /> <br />feeding treatments Log (Weight)-Log (Length) regressions of all larvae were examined <br /> <br /> <br />for each treatment group. The general regression model is of the form: <br /> <br />LogW = i + bLogL + e, <br /> <br /> <br />where at is equal to log a. In such a form the above model is the linear form for the <br /> <br /> <br />allometric growth function: <br />