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Conclusion

47. The paper has attempted to define within the operational perspective of FLD the information needs and priorities for the livestock subsector. We also presented the various modes used in generating livestock statistics. In the latter part of the paper, the computer resources required in data storage, retrieval, editing, validation, and analysis were extensively discussed within the current environmental conditions in Nigeria. The final message we wish to impart is that a data set will command some value only if it is used efficiently. Livestock statistics, for example, are used to monitor and measure herd productivity; to trace the causes of a sluggish growth in domestic livestock supply; to analyse time-series trends of changes in outputs and prices; and to forecast the probable outcomes of certain given conditions. If livestock statistics are aimlessly generated, then scarce resources (e.g. skilled technician working hours) are also drained.


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