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Abstract |
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Statistical analysis was attempted to examine the effect of water temperature on growth of the sergestid shrimp,Sergia
lucens.The observed temperature was divided to ranks at interval of 0.5 degree.Optional unknown response functions were
applied for each rank for defining the average length of shrimp.Nine models were proposed,based on an idea that weighted
value of response function by occurrence of rank represents the average length. It is possible to estimate the response
function by the Empirical Bayes Method.In order to specify the period where the temperature has significant effect on the
growth,values of ABIC were compared among nine models with data sets differing in data months.Among data obtained
during 1972 through 2001,the author selected those from 19 years which showed ordinary growth.Data applied for analysis
consisted of average body length and daily water temperature from July to November.As a result,the model assigned to
Aug.and Sept.temperature data was determined as the optimal.It also showed that the promotive effect on the growth of
shrimps is concentrated on the condition between 24.5 and 25.0 degrees.The results obtained by statistical models support
previous biological findings. Moreover, the restraint in growth seemingly due to separation from the optimal water
temperature has different response between the warmer and colder conditions. |
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