incomplete exponential sums over galois rings with applications to some binary sequences derived from z(2l)

IEEE Computer Society

Hybrid numerical methods for exponential models of growth

A series of novel numerical methods for the exponential models of growth are proposed. Based on these methods, hybrid predictor-corrector methods are constructed. The hybrid numerical methods can increase the accuracy and the computing speed obviously, as well as enlarge the stability domain greatly. (c) 2005 Published by Elsevier Inc.

Growth of eight Pacific abalone families at three temperatures

Growth rates, measured as shell length and body weight daily growth, were studied in the eight families of Pacific abalone, Haliotis discus hannai Ino, reared at 12, 16 and 20 degrees C for 40 d respectively. The results show that J(1)Rh family grew the best at 12 degrees C, with growth rates of (32.88 +/- 4.66) mu m/d and (5.24 +/- 1.84) mg/d. C(1)Jm family had the highest growth rates of (58.00 +/- 2.00) mu m/d and (9.71 +/- 1.21) mg/d at 16 degrees C. J(1)Jm family ranked the first at 20 degrees C, with growth rates of (66.00 +/- 1.76) mu m/d and (10.99 +/- 0.34) mg/d. RjRh family had the slowest growth rates at all three temperatures. Shell length growth rates were 18.25, 33.00 and 43.13 mu m/d respectively, while body weight growth rates were 2.47, 2.56 and 4.75 mg/d respectively. Both temperature and family had significant effect on growth rates (P<0.05). At 16 and 20 degrees C, maternal effects on growth rates were not significant (P>0.05), but paternal effects on growth rates were significant (P<0.05). Results of this study indicate genetic difference among the families and importance of selecting male breeders in the commercial hatchery.