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Inefficient feeding practices for producing fish in captivity create environmental problems. Therefore, the feed input should be reduced to a level that does not result in negative impacts of fish production. Reducing feed input can be done by periodic feed deprivation which does not necessarily decrease the fish production. This study was designed to investigate the effect of repeated unfed–fed cycles on the growth and feed utilization of the orange-spotted grouper Epinephelus coioides raised in floating net cages in estuarine ponds. The trial was conducted in the north east of Segara Anakan, Java, Indonesia. The fish were purchased from local fishermen and mean fish body weight was 53.2 g. After acclimation in the cages for 2 weeks, 500 fish were randomly assigned to four feeding groups. The groups included: fish fed daily as a control (C); fish not fed every Monday and Thursday and fed on Tuesday and Wednesday, then on Friday, Saturday and Sunday (T1); fish unfed every Sunday, Monday and Thursday and fed on Tuesday and Wednesday, then on Friday and Saturday (T2). The experiment ran for 10 weeks. The results showed that reducing feed input by repeating unfed–fed cycles induced compensatory growth of the fish. Application of this feeding regime provides flexibility in feeding management and may reduce organic discharge into the environment. Reduction of organic pollution should help the sustainable use and conservation of the Segara Anakan ecosystem.  相似文献   
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This study involves a meta-analytical review of several articles, using the closest assumptions for the independent variable (renewable energy consumption), to determine the relationship with its environmental impacts. Furthermore, Sustainable Development Goal (SDG) in 2015 pays attention to related problems in both developing and developed countries. The effects of carbon emissions, natural resources, renewable energy consumption, and non-renewable energy on the environment are also reviewed. Following the separation of studies, the closest assumption was observed for the independent variable (energy source applications) of renewable energy. The meta-analysis was obtained using OpenMEE and JASP, and the results show the observed outcome, which was expressed in percentage. Based on the analysis, the Renewable Energy model has a value of 0.15, with the largest forest plots of 0.73, 0.69, and 0.80, recorded for studies 13, 19, and 23, respectively, while the least forest plots were recorded for studies 6, 11, 12, 15, 20, 22, 24, 25, 26, and 28. Therefore, renewable energy consumption, specifically in the mining industry, has the capacity to influence global warming. The respective industry has a unique influence on the processes that require renewable energy, for instance, the coal mining industry produces a smaller forest plot value, compared to oil and gas, or other mineral industries.  相似文献   
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