首页> 外文期刊>Brazilian Journal of Aquatic Science and Technology >VARIABILIDADE NAS TAXAS FISIOLóGICAS DO MEXILH?O PERNA PERNA EM DOIS SíTIOS DE CULTIVO DO LITORAL NORTE DE SANTA CATARINA
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VARIABILIDADE NAS TAXAS FISIOLóGICAS DO MEXILH?O PERNA PERNA EM DOIS SíTIOS DE CULTIVO DO LITORAL NORTE DE SANTA CATARINA

机译:墨西哥圣凯塔琳娜州北部两个耕种地点的墨西哥生理学费用的变异性

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With the growing socioeconomic activity of mussel farming on Santa Catarina’s coast, the identification of new cultivation sites became necessary. Among a variety of methods used for the analysis of potential producing areas, studying of the mussel physiological rates may be considered as one of the most appropriated, specially when addressing the monitoring of sites already established and the negative effects of environmental pollution. This report presents a preliminary comparison between two areas of cultivation in the northern coast of the state (municipalities of Penha and Bombinhas). In both locations, environmental data (temperature, salinity and seston) and physiological parameters of the mussels (growth, and filtration, respiration and assimilation rates) were analysed. Our findings suggested a direct relationship between temperature and mussel growth rate and also between salinity and respiration rates for both areas. The seston concentration showed a high environmental variability as a response to the continental drainage. In addition, the filtration and assimilation rates seemed to be influenced by the stages of embryonic follicle maturation. In terms of production, the sites showed larger differences during the colder months as compared to the warmer ones, when the results were quite similar. More conclusive results are dependent of studies conducted along a complete annual cycle.
机译:随着圣卡塔琳娜州海岸贻贝养殖的社会经济活动日渐增多,有必要确定新的种植地点。在用于分析潜在产区的多种方法中,研究贻贝的生理速率可能被认为是最合适的方法之一,特别是在解决对已经建立的地点进行监测以及对环境污染的负面影响时。本报告对该州北部沿海的两个种植区域(Penha和Bombinhas市)进行了初步比较。在这两个地方,都分析了贻贝的环境数据(温度,盐度和矿物质)和生理参数(生长,过滤,呼吸和同化率)。我们的研究结果表明温度和贻贝生长率之间以及两个地区的盐度和呼吸率之间都存在直接关系。塞纳斯浓度显示出对大陆排水的高度环境变化。此外,过滤和同化率似乎受胚胎卵泡成熟阶段的影响。在产量方面,与暖和的地点相比,在较冷的月份,地点表现出更大的差异,结果却十分相似。更具决定性的结果取决于整个年度周期内进行的研究。

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