milan米兰体育app下载 提高地中海沿岸泻湖的太平洋牡蛎（Crassostrea gigas，Thunberg，1793）产量：在传统和新型养殖方法上验证生长模型“ShellSIM”

引用

Graham P、Brundu G、Scolamacchia M、Giglioli A、Addis P、Artioli Y、Telfer T 和 Carboni S (2020) 提高地中海沿岸泻湖的太平洋牡蛎（Crassostrea gigas、Thunberg，1793）产量：在传统和新型养殖方法上验证生长模型“ShellSIM”。水产养殖，516，艺术。编号：734612。https://doi.org/10.1016/j.aquaculture.2019.734612

摘要
双壳类养殖是欧洲主要的水产养殖活动，占总生物量的 48.5%。意大利是最大的牡蛎消费国之一，但当地产量无法满足市场需求。意大利沿海地区拥有约 384,000 公顷的浅泻湖，已用于广泛的水产养殖活动，这也可能代表太平洋牡蛎（Crassostrea gigas，Thunberg，1793）养殖的潜在地点。本研究的目的是通过测试新型养殖技术并验证现有的生物能生长模型（ShellSIM）来加强沿海浅泻湖的太平洋牡蛎养殖。在两个撒丁岛沿海泻湖（意大利圣特奥多罗和圣吉拉）监测太平洋牡蛎的商业表现和相关环境参数。在两个饲养系统的生产周期中对牡蛎的生长和存活进行了比较：传统系统（浮袋或灯笼）和 Ortac 装置。后者此前尚未在沿海泻湖进行过测试。将测量的性能与 ShellSIM 预测进行比较，以评估该模型预测其他沿海泻湖增长和潜在产量的能力。结果显示，在六个月周期结束时，牡蛎平均重量和状况指数明显更高（p 值 0.05) in floating bags than in Ortac, (55.8 ± 0.9 g and 50.1 ± 1.3 g; 4.6 ± 0.1 and 3.9 ± 0.1 respectively). Also, the minimum commercial size (40 g) was reached by 98% and 68% of the oyster farmed in floating bags and Ortac units respectively. On the other hand, oysters reared in the Ortac showed a higher survival than in the floating bags (95.8 ± 0.9% and 82.1 ± 3.4%, respectively). ShellSIM growth predictions were highly correlated with the observed data in both lagoons. However, high values for root mean square deviation (RMSD) indicated that ShellSIM predictions were significantly validated for San Teodoro lagoon but not for Santa Gilla suggesting further tailoring to some environmental conditions to produce more realistic growth predictions. Results of this study indicate that both floating bags and Ortac system should be employed during the production cycle to maximise oysters' survival and growth performances. Furthermore, this study provides a new validated tool to farmers and stakeholders to monitor oysters’ performances and estimate productivity in local waters.

关键字
太平洋牡蛎养殖；贝类生长模型；农业技术

期刊
水产养殖：第 516 卷

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