Investigating the impact of farm management on the operating factors and efficiency of dual-purpose rainbow trout (Oncorhynchus mykiss) breeding ponds in the western region of Isfahan province.

Document Type : scientific research article

Authors

1 Ph.D. Student, Dept. of Fisheries, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.

2 Gorgan University of Agricultural Sciences and Natural Resources

3 Associate ProfGorgan University of Agricultural Sciences and Natural Resources

Abstract

This study aimed to measure the effect of farm management on the production efficiency of rainbow trout (Oncorhynchus mykiss) farmers in dual-purpose agricultural ponds in the west region of Isfahan province and determines its indicators. In this study, 30 farms were randomly selected from the cities of Khansar, Golpayegan and Faridan, and the necessary documents regarding consumption inputs and actual production were prepared by completing a questionnaire. In this study, in order to investigate the technical efficiency in fish farming units, the data coverage approach was used based on the product-oriented model with variable efficiency relative to the scale. After estimating the level of management, the regression of this index was estimated with the level of efficiency and operating factors of the farms under investigation. The average efficiency of fish farming systems was obtained by using data coverage analysis as 0.95±0.08. The difference in average technical efficiency of three cities was not significant (P < 0.05). In terms of consumption of inputs, the results showed that most of the inputs were consumed in a balanced manner, except for electricity, and 8 farms consumed more than the required amount of electricity. The results of the regression analysis of the management score and operating factors showed that out of six operating factors, the relationship of two factors, the amount of energy consumed per kilogram of fish production and the amount of profit from the production of each ton of fish, was significant at the level of 1% with the management score. Also, the regression of the amount of management and other important rearing inputs with the amount of technical efficiency obtained was significant (P < 0.01) and the two factors of the amount of management and pool structure had a significant relationship with efficiency at the level of 1%. Therefore, modern structure and aquaculture management have the greatest impact on farm efficiency.

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