الفهرس 
الجداوليوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
The Agricultural sector is regarded as one of the
leading sectors in the structure of national economy of
Bgypt. from this standpoint it is extremely iaportant
to put within the reach of policy makers all accurate
and tiaely data on production. Obviously, the data
collected on production are studied and analyzed to
furnish policy makers and decision takers with the
necessary information.
The study gave auch attention to economic
evaluation of cotton yield estimate methods.
In this context, the study tried to find out the
most appropriate method that can be applied in early
stages of plant life cycle and less expensive too. A
comparison was made between sa.pling and forecasting
aethods with respect to average operational costs,
sample size, space of plots, the tiae needed to get the
estimate, and the multi- purposes process the results
obtained indicated that the application of the
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forecasting method to get average yield of cotton is
useful effective to meet the timely requirements of the
, foreign aarkets.
This aethod is cheaper. (L.E 15000) non-intensine
labour very efficient and needs tiny plots for
sampling. In the aeantime, the sampling technique is
also very iaportant to give a good judgement on
estiaates of average yield of cotton. Therefore, it is
recommended that both of forecasting and sampling
technaique should be applied to get quick an accurate
estimates in a reasonable time. The study draws the
attention to the threat on Egypt,s cotton exportes of
long staple accurate estimates of production.
The study also indicated that aany aethods are
used to find wheat average yield estiaate among these
aethods are subjective and objective ones. The
subjective method depends totally on agricultural
province staff, whereas objective aethod is based on
sa.pling techniques. Forecasting aethod is also applied
in this regard using plant morphology and growth
changes.
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Since there is no total survey of wheal in teras
of weight the estimate made by the ministry of
Agricultural is accepted. other estimate methods
~ursued by agricultural provi~ces were compared with
the co••ittee of estimate no significant differences
were detected statistical analysis of the recsults
indicated that average production/ Feddan based on
forecasting data in Fayoua Governorate in 1986, was
almost the saae average estimated by .saabling
department of HOA, (difference is less than 3.5%).
It is concluded that forecasting method is
reliable in wheat yield estimate. In addition to giving
earlier data on wheat production, (aid march),
forecasting aethod also, on the other hand reduces the
experimental plot to 0.36 square meter in sampling
method, Forecasting,method needs almost 50% of the
nuaber of exp~riaents needed in saapling aethod the
advantages secured by forecasting aethod, if properly
utilized can be of great benefit to polIcy makers.