TABLE OF CONTENTS Pages Symposium 1 - the National Sea ...
TABLE OF CONTENTS Pages Symposium 1 - the National Sea ...
TABLE OF CONTENTS Pages Symposium 1 - the National Sea ...
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will have a large effect upon <strong>the</strong> cost of product. Fixed costs, which are an amalgamation<br />
of all costs that are independent of <strong>the</strong> rate of production, also represent a large part of <strong>the</strong><br />
cost of production. In reality, most costs are a combination of a fixed and a variable<br />
component, and thus estimates of fixed costs will vary greatly depending upon which costs<br />
are considered fixed costs.<br />
Losordo and Westerman (1994) state that capital costs and depreciation of capital<br />
equipment account for approximately 34 percent of <strong>the</strong> total production cost, but <strong>the</strong>se<br />
costs are just two of <strong>the</strong> larger fixed costs. Thus total fixed costs would represent a much<br />
larger percentage of <strong>the</strong> cost of production than <strong>the</strong> 34 percent noted previously.<br />
O’Rourke (1996) divided all of his costs into ei<strong>the</strong>r fixed or variable, and calculated that<br />
fixed cost were 56 percent of total costs. Included in <strong>the</strong> list of fixed costs were wages,<br />
water, and maintenance, which usually would not be considered total fixed. It is fair to say<br />
however that fixed cost represent somewhere between 34 and 56 percent of total<br />
production costs. By definition, once a production facility is operational, fixed expenses<br />
remain constant. Fixed or overhead costs per unit of production change as <strong>the</strong> production<br />
rate changes, thus fixed costs as a percentage of total production costs can be reduced by<br />
increasing <strong>the</strong> production rate.<br />
The production rate for a given facility can be increased by ei<strong>the</strong>r increasing <strong>the</strong> stocking<br />
density or <strong>the</strong> growth rate. While increasing stocking densities is an obviously attractive<br />
goal, <strong>the</strong>re are physiological as well as engineering and physical limitations that limit <strong>the</strong><br />
culture intensity. Stocking density has been shown to negatively affect growth rates in<br />
many species of fish, although <strong>the</strong> responses vary. Poorer growth rates have been<br />
associated with higher stocking densities of tilapia raised in ponds, irrigation ditches or<br />
cages (Coche 1982; Carro-Anzalotta and McGinty 1986; D'Silva and Maughan 1996; Yi<br />
et al. 1996; Siddiqui et al. 1989), but little research has be conducted on tilapia in<br />
recirculating systems. Huang and Chiu (1997) researched <strong>the</strong> effects of stocking density<br />
on growth rates on tilapia fry smaller than 10 g, and observed that increasing stocking<br />
densities had a significantly negative effect upon size, size variation and survival rate.<br />
Regardless, <strong>the</strong> effect of stocking density is beyond <strong>the</strong> scope of <strong>the</strong> experiments reported<br />
herein. For this research project, a density of 5 gallons per fish was selected to minimize<br />
<strong>the</strong> effects of crowding.<br />
Fish physiologists do not fully understand <strong>the</strong> biological mechanisms that control <strong>the</strong><br />
growth rates of fish. Although <strong>the</strong>re have been numerous ma<strong>the</strong>matical models to<br />
describe <strong>the</strong> growth characteristics of fish, most of <strong>the</strong>se models do not take into account<br />
such important factors as availability of food, food quality or <strong>the</strong> effect of environmental<br />
factors such as temperature. This has given rise to <strong>the</strong> scientific field of bioenergetics,<br />
which partitions <strong>the</strong> energy consumed into various metabolic processes including<br />
production or growth, and waste products. While <strong>the</strong> bioenergetic models account for<br />
changes in energy consumption, measuring each of <strong>the</strong> energy partitions is labor intensive,<br />
and are usually measured as a function of only one variable; thus ignoring <strong>the</strong> interactions<br />
with o<strong>the</strong>r biological factors. Bioenergetics provides a reasonable growth projection for<br />
fish in <strong>the</strong> natural environment, but its usefulness for describing growth in recirculating<br />
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