Yongjun Guo

Estimation of Dietary Copper (Cu) Requirement of Cynoglossus semilaevis Günther

To evaluate the dietary copper (Cu) requirement of Cynoglossus semilaevis, inorganic Cu (0, 2, 6, 17, and 50 mg kg−1) was added to the basal diet, providing actual dietary Cu (5.91, 8.23, 11.78, 24.16, and 56.34 mg kg−1). Each diet was fed to C. semilaevis Gunther (initial body weight, 68 g) in triplicate groups for 8 weeks in a flow-through system. The results showed that weight gain rate (WGR), specific growth rate (SGR), feed conversion rate (FCR), and protein efficiency ratio (PER) in fish supplemented with 11.78 mg kg−1 were significantly higher than those in fish fed with the basal diet (P 0.05). The activities of protease, amylase, lipase, copper–zinc superoxide dismutase (Cu–Zn SOD), and lysozyme first increased and then decreased with the increasing dietary Cu concentrations, and 11.78 mg kg−1 diet provided maximum activities. The optimum requirement of C. semilaevis for dietary Cu was estimated to be about 11–12 mg kg−1 diet using broken-line regression analysis, based on the growth and enzyme activities.

Study of Cluster Formation Algorithm for Aquaculture WSN Based on Cross-Layer Design

Aquaculture WSN is composed of a large number of nodes with different monitoring function. In this paper, we present a cluster formation algorithm in Sensor MAC for event-driven Aquaculture WSN. The technique proposed is based on cross-layer design which is adopted to reduce the energy waste and guarantee the data transmissions. The event-driven Aquaculture WSN is simulated by OPNET and MATLAB. Simulation results show that the proposed protocol saves node energy, shortens average packet latency, and improves event detection reliability.