Details are given of techniques to be used in the handling of large amounts of data in the field of aquaculture. Two examples are given where different types of multivariate data analyses are performed on the compiled datasets to identify and quantify the effects of key variables governing growth and production of fish in manured pond systems cultivating tilapia and carp.
An equation is given for the selection of interval sizes for use in length frequency analysis of fish classes.
Egypt's aquaculture production (705,490 tonnes in 2009) is by far the largest of any African country and places it 11th in terms of global aquaculture production. The aquaculture sector in Egypt is now a mature one having developed over a period of more than 30 years, but the financial performance of the sector is not well understood or documented, even though value-chain analysis provides a methodological tool to do so.
A linearized version of the Appeldoorn model of the von Bertalanffy growth function is presented for the estimationof parameters of seasonal growth oscillation.
Details are given of the current database system used by the Collaborative Research Support Programme in PondDynamics/Aquaculture and Its Management. Suggestions are made regarding the design of a database.
This article examines the suitability of length-based methods for providing regular assessments of the stocks of the more important commercial fish species in Kuwait. To date, comparisons of age-based and length-based methods have been carried out for 3 species, the croaker Otolithes argenteus , red snapper, Lutjanus coccineus and the grouper Epinephelus tauvina . Results so far indicate a stock assessment reliability equal to that based on age composition data plus a saving in manpower and capital.
In many developing countries, availability of suitable tags for use in genetics and aquaculture research has been a problem as they are often expensive and have to be imported from other countries. A simple and inexpensive method used by scientists in Ghana that can be tried and improved by others is described in this article.
Comparative methods are presented which allow for quick and relatively reliable growth parameter estimates when growth data are not at hand. One of these methods involves the use of a newly developed "auximetric grid." An empirical equation for the estimation of natural mortality of any fish stock, given a set of growth parameters, is briefly reviewed. The methods are applied to data from the Gulf of Thailand trawl fishery, and the mortality caused by this fishery is estimated.
A method is presented through which the total mortality undergone by several fish stocks of the same species can be compared when growth parameters are poorly known or unknown. Whereas the estimate of Z obtained via the length-converted catch curve is highly sensitive to the input parameters K and L sub( infinity ), the ratio of Z estimates obtained for different stocks with the same combination of parameters is almost independent of these inputs, at least when the fit of the linear regression is good.
This selection of methods is based on lecture notes used at a FAO/DANIDA training course held in Mombasa, Kenya, in May-June 1980. The methods presented are: regression and correlation, estimation of growth parameters from length-frequency data, estimation of mortalities (total, natural, fishing mortality) and analysis of catch and effort data.