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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 />-- <br /> <br />Page <br />Table 19. Estimated parameters of a second order polynomial fit to the residuals of the <br /> <br /> <br />general allometric growth model for Ad libitum.. Suboptimal and Starved <br /> <br /> <br />razorback sucker larvae at each temperature regime. P represents the significance <br /> <br /> <br />of the test that the second order polynomial c = o. ...................... 99 <br /> <br /> <br />Table 20. General linear models analysis of covariance of TL-weight relationships of M <br /> <br />libitum, Suboptimal and Starved razorback sucker larvae at 140C, lSoC and 230C. <br /> <br /> <br />First is the overall model of the three feeding treatments. Models that follow are <br /> <br /> <br />pairwise ANCOV A comparisons between temperatures. Level of significance for <br /> <br /> <br />three pairwise comparisons is adjusted to 0.01. . . . . . . . . . . . . . . . . . . . . . . . . . 100 <br />Table 21. Log Weight vs. Log TL regression used to determine parameters a and bin <br />allometric growth curve for larval razorback suckers. Regression is developed <br />from pooled Ad libitum larvae. P is significance of a two-tailed t-test. . . . . . . 102 <br />Table 22. Classification swnmaries as proportions of observations misclassified for <br />discriminant functions used to classify laboratory razorback sucker larvae using <br />log Weight, log TL and log %body fat, or log Weight and log TL. Results are <br />classification swnmaries for each temperature, between temperature treatments <br />and for pooled data. Comparisons are done with all larvae > 11 nun all greater <br />than 12 nun and forlarvae between 11 and 12.5 mm. . . . . . . . . . . . . . . . . . . . . 103 <br /> <br />XVI <br />