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Hydrodynamic responses of a large flexible net swinging in waves 大型柔性网在波浪中摆动的水动力响应
IF 3.6 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2024-11-07 DOI: 10.1016/j.aquaeng.2024.102491
Wude Xie , Zhaoyang Jiang , Lu Wang , Zhenlin Liang
In deep-sea aquaculture cages, large flexible nets are usually mounted on the steel frames of aquaculture cages, which are easily broken. When a cage vibrates over time, the flexible nets also oscillate, causing relative motions with respect to fluid flows. This study focuses on the hydrodynamic behaviors of a large flexible net swinging in waves, in which three different types of swings are simulated with the swing center located above, on, and below the net, respectively. The incoming waves are simulated using the Airy wave theory. The nonlinear vibrations of the flexible net in three dimensions are solved using the lumped-mass method. The influences of swing amplitudes and frequencies on the vibrations of the net are analyzed in detail. It can be known that with the increase of swing amplitude, the vibration displacements of the net in the horizontal direction decrease, while they increase in the vertical direction. Furthermore, the dynamic tensions of net twines increase as the swing angular frequency rises.
在深海水产养殖网箱中,大型柔性网通常安装在水产养殖网箱的钢架上,而钢架很容易破损。当网箱随时间振动时,柔性网也会随之振动,从而引起相对于流体流动的相对运动。本研究的重点是大型柔性网在波浪中摆动的流体动力学行为,其中模拟了三种不同类型的摆动,摆动中心分别位于网的上方、上方和下方。入射波使用艾里波理论进行模拟。柔性网在三维空间的非线性振动采用块状质量法求解。详细分析了摆幅和频率对柔性网振动的影响。可以看出,随着摆动幅度的增大,柔性网在水平方向上的振动位移减小,而在垂直方向上的振动位移增大。此外,随着摆动角频率的增加,网的动态张力也会增加。
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引用次数: 0
A robotic fish processing line enhanced by machine learning 通过机器学习增强的机器人鱼类加工生产线
IF 3.6 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2024-10-24 DOI: 10.1016/j.aquaeng.2024.102481
Sangam Mainali, Cheryl Li
This paper presents the design of a comprehensive automatic fish processing line utilizing machine learning algorithms. The processing line encompasses several essential steps, including fish identification by type, fish sorting by size, fish orientation based on shape, and fish cutting at the optimal chopping points. The primary objective of this design is not just automation but also maximizing economic benefits by preserving the maximum amount of fish meat during the cutting process, achieved through the application of machine learning algorithms. To accomplish these goals, we employ a combination of transfer learning and convolutional neural networks to establish criteria for actions across all stages of automatic fish processing. At the heart of the processing station is a conveyor belt equipped with numerous sensors and lenses. Positioned along this conveyor belt are two robotic arms, responsible for precise positioning and cutting operations, all guided by the machine learning algorithms. To provide a visual representation of these design concepts, we have created a 3D SolidWorks model.
本文介绍了利用机器学习算法设计的鱼类综合自动加工生产线。该加工线包含几个基本步骤,包括按类型识别鱼、按大小分拣鱼、根据形状确定鱼的方向,以及在最佳切割点切割鱼。该设计的主要目标不仅是实现自动化,而且还要通过应用机器学习算法,在切割过程中最大限度地保留鱼肉,从而实现经济效益最大化。为了实现这些目标,我们采用了迁移学习和卷积神经网络相结合的方法,为鱼类自动加工的各个阶段制定行动标准。加工站的核心是一条传送带,上面装有许多传感器和镜头。传送带上有两个机械臂,负责精确定位和切割操作,所有操作都由机器学习算法指导。为了直观地展示这些设计理念,我们创建了一个 3D SolidWorks 模型。
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引用次数: 0
Evaluating protein skimmer performance in a commercial seawater recirculating aquaculture system (RAS) 商业海水循环水产养殖系统(RAS)中蛋白质撇除器性能的评估
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-26 DOI: 10.1016/j.aquaeng.2023.102369
Bence Dániel Kovács , Kim João de Jesus Gregersen , Florian Rüppel , Arndt von Danwitz , Lars-Flemming Pedersen

Combining protein skimming with ozone (O3) is a common method for removing microparticles in recirculating aquaculture systems (RAS). Nevertheless, there is a limited number of studies that have validated protein skimming's performance at a commercial scale. Additionally, variations in protein skimmer designs and operational variables may yield different performance outcomes. In the present study, the performance of two types of full-scale protein skimmer (S1 and S2) were compared and evaluated under two levels of hydraulic retention time (HRT) (1.8 and 2.2 min) and three levels of O3 doses (0, 7, and 14 g O3/kg feed) in a commercial seawater RAS facility. Samples from the inlet and outlet of the protein skimmers were collected at each combination of operational variables. They were analysed for several relevant water quality parameters to quantify the treatment efficiency. O3 dose significantly improved water quality and reduced the numbers of microparticles and bacterial activity in a single pass. Besides that, doses as high as 14 g O3/kg feed significantly increased total residual oxidant (TRO) concentration. Additionally, an increase in HRT exerted a moderate effect on removing microparticles and a strong effect on redox potential (ORP) and TRO. Finally, the type of protein skimmer only affected the ORP, causing no significant changes to other water quality metrics. The correlations between the investigated water quality parameters defined a clear pattern of the ongoing processes and particle characteristics. Overall, the results demonstrated that protein skimming combined with carefully selected O3 doses can improve general water quality and control critical factors such as bacterial activity and microparticles under commercial operations.

将蛋白质撇除与臭氧(O3)相结合是循环水产养殖系统(RAS)中去除微粒的常用方法。然而,在商业规模上验证蛋白质撇除性能的研究数量有限。此外,蛋白质撇除器设计和操作变量的变化可能产生不同的性能结果。在本研究中,在商业海水RAS设施中,在两个水平的水力停留时间(HRT)(1.8和2.2分钟)和三个水平的O3剂量(0、7和14g O3/kg饲料)下,比较和评估了两种全尺寸蛋白质撇除器(S1和S2)的性能。在操作变量的每个组合处收集来自蛋白质撇除器的入口和出口的样品。分析了几个相关的水质参数,以量化处理效率。O3剂量显著改善了水质,降低了单次通过的微粒数量和细菌活性。此外,高达14g O3/kg饲料的剂量显著提高了总残留氧化剂(TRO)浓度。此外,HRT的增加对去除微粒产生中等影响,对氧化还原电位(ORP)和TRO产生强烈影响。最后,蛋白质撇除器的类型只影响ORP,对其他水质指标没有显著变化。所调查的水质参数之间的相关性定义了正在进行的过程和颗粒特征的清晰模式。总体而言,研究结果表明,在商业运营中,蛋白质撇除与精心选择的O3剂量相结合可以改善一般水质,并控制细菌活性和微粒等关键因素。
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引用次数: 0
Intelligent recognition and behavior tracking of sea cucumber infected with Vibrio alginolyticus based on machine vision 基于机器视觉的溶藻弧菌感染海参的智能识别与行为跟踪
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-17 DOI: 10.1016/j.aquaeng.2023.102368
Wenkai Xu , Peidong Wang , Lingxu Jiang , Kui Xuan , Daoliang Li , Juan Li

The outbreak of aggregative diseases in the process of sea cucumber cultivation has brought huge economic losses to aquaculture farmers. It is of positive significance to realize intelligent detection of abnormal behavior to avoid the outbreak of aggregative diseases. Therefore, this paper researches the approaches of intelligent recognition and behavior tracking of sea cucumbers. Fusing the Coordinated Attention and Bi-directional Feature Pyramid Network, the DT-YOLOv5 intelligent recognition model is proposed to enhance the representation ability and feature extraction ability. A multi-object behavior tracking approach is presented based on the automatic frame-matching coordinates, which can track multiple objects and calculate the volumes of exercise. The experimental results show that the precision, recall and AP50:95 are 99.43%, 98.91% and 84.89%, respectively. This research provides a theoretical support for the detection of abnormal behavior of aquatic animals during intensive aquaculture and has potential practical application value for protecting the welfare of sea cucumbers and improving the intelligence level of aquaculture.

海参养殖过程中聚集性病害的爆发给养殖户带来了巨大的经济损失。实现异常行为的智能检测,避免聚集性疾病的爆发,具有积极意义。因此,本文对海参的智能识别和行为跟踪方法进行了研究。将协调注意力和双向特征金字塔网络相结合,提出了DT-YOLOv5智能识别模型,以增强其表示能力和特征提取能力。提出了一种基于自动帧匹配坐标的多目标行为跟踪方法,该方法可以跟踪多个目标并计算运动量。实验结果表明,准确率、召回率和AP50:95分别为99.43%、98.91%和84.89%。本研究为集约养殖过程中水生动物异常行为的检测提供了理论支持,对保护海参福利、提高养殖智能化水平具有潜在的实际应用价值。
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引用次数: 0
ficoEst – a tool to estimate the body composition of farmed fish ficoEst–一种估计养殖鱼类身体成分的工具
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-09 DOI: 10.1016/j.aquaeng.2023.102364
Filipe Soares , Andreia Raposo , Rodrigo Mendes , Marina Azevedo , Jorge Dias , Ana Nobre , Luís E.C. Conceição , Tomé Silva

ficoEst – Fish Composition Estimator is a public web tool to estimate the whole-body proximate composition of farmed fish (https://webtools.sparos.pt/ficoest/). The tool was designed for researchers in fish nutrition and fish farmers, and is available for six commercially relevant species: gilthead seabream (Sparus aurata), European seabass (Dicentrarchus labrax), meagre (Argyrosomus regius), rainbow trout (Onchorhynchus mykiss), Atlantic salmon (Salmo salar), and Nile tilapia (Oreochromis niloticus). ficoEst uses three different types of mathematical models (BC1, BC2, and BC3) to estimate the body composition of fish in terms of crude protein, crude lipids, water, ash, phosphorus, and energy. The models differ in the input data used to perform the estimates. BC1 models consider only body weight, BC2 models consider both body weight and water, and BC3 models consider body weight, water, and ash as inputs. The model evaluation results demonstrate that considering water and ash as additional inputs to body weight (BC3 models) significantly improves the accuracy in predicting some body composition components, such as crude lipids (e.g., up to 67.9 % and 28.1 % more accurate, compared to BC1 and BC2 models, respectively, depending on the species considered). ficoEst can be used as a complementary tool to analytical methods to obtain additional information about fish body composition. As a public web tool, ficoEst has the potential to be a valuable resource for researchers and fish farmers interested in estimating the body composition of farmed fish.

ficoEst–鱼类成分估计器是一个公共网络工具,用于估计养殖鱼类的全身接近成分(https://webtools.sparos.pt/ficoest/)。该工具是为鱼类营养研究人员和养鱼户设计的,可用于六种商业相关物种:金头鲷(Sparus aurata)、欧洲鲈鱼(Dicentrarchus labrax)、贫鱼(Argyrosomus regius)、虹鳟(Onchorhynchus mykiss)、大西洋鲑鱼(Salmo salar)和尼罗罗非鱼(Oreochromis niloticus)。ficoEst使用三种不同类型的数学模型(BC1、BC2和BC3)来估计鱼类的身体成分,包括粗蛋白质、粗脂质、水、灰分、磷和能量。模型在用于执行估计的输入数据方面有所不同。BC1模型只考虑体重,BC2模型同时考虑体重和水,BC3模型将体重、水和灰烬作为输入。模型评估结果表明,将水和灰烬作为体重的额外输入(BC3模型)显著提高了预测某些身体成分(如粗脂质)的准确性(例如,根据所考虑的物种,与BC1和BC2模型相比,准确率分别高达67.9%和28.1%)。ficoEst可以作为分析方法的补充工具,以获得有关鱼类身体成分的额外信息。作为一种公共网络工具,ficoEst有可能成为有兴趣估计养殖鱼类身体成分的研究人员和养鱼户的宝贵资源。
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引用次数: 0
Bottom culture is a promising strategy for final grow-out of the Portuguese oyster Crassostrea angulata 底层养殖是葡萄牙牡蛎Crassostrea angulata最终生长的一种很有前途的策略
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-09 DOI: 10.1016/j.aquaeng.2023.102365
Zonghe Yu

Almost all the Portuguese oyster Crassostrea angulata in China are grown in nearshore farms using suspended culture. Problems such as overstocking and environmental degradation have occurred in many suspended oyster farms. In this study, two batches of C. angulata, which were pre-grown in suspended culture in Dapeng Cove, South China Sea, were transplanted onto the seabed at the mouth of the bay. The first batch of small-sized C. angulata was deployed on March 16, 2019 (bottom culture A), while the second batch of large-sized oysters was deployed on July 6, 2019 (bottom culture B). Temporal variations in the survival and growth of these oysters were tested against their counterparts that continued growing in suspended culture. Results indicated mortality of oysters in bottom culture A was mainly a result of crab predation, while summer mass mortalities in the suspended culture and bottom culture B were a result of stress from reproduction and high temperatures. Oysters in bottom culture A exhibited smaller but cleaner shells than those in suspended culture. The soft tissue of C. angulata in all treatments continued to increase until August 22. Accelerated increases in tissue weight and condition index (CI) from early July to late August were mainly attributed to gamete formation, while subsequent decreases in tissue weight and CI likely resulted from the spawning activity. Oysters in bottom culture A consistently performed better in terms of tissue growth and CI than those in suspended culture. Individuals in both the suspended culture and bottom culture B exhibited very similar growth patterns after July 6, when overcrowding at the oyster farm was partially resolved. The results of this study indicate that bottom culture is a promising strategy for producing meaty and clean C. angulata within a short duration. This method also provides a feasible solution to the overcrowding problem in suspended oyster farms. Nevertheless, a simple, efficient, and economical method to reduce crab predation in bottom culture is needed.

在中国,几乎所有的葡萄牙牡蛎Crassostrea angulata都是在近海养殖场使用悬浮培养法种植的。许多被停摆的牡蛎养殖场出现了积压和环境恶化等问题。在本研究中,将两批在南海大鹏湾悬浮培养中预先生长的角藻移植到海湾口的海床上。第一批小型角牡蛎于2019年3月16日部署(底部培养物A),而第二批大型牡蛎于2019月6日部署(底层培养物B)。这些牡蛎的存活和生长的时间变化与在悬浮培养中继续生长的牡蛎进行了对比测试。结果表明,底层养殖A牡蛎的死亡率主要是螃蟹捕食的结果,而悬浮养殖和底层养殖B牡蛎的夏季大规模死亡是繁殖和高温胁迫的结果。底部培养物A中的牡蛎比悬浮培养物中的牡蛎外壳更小但更干净。在所有治疗中,C.angulata的软组织持续增加,直到8月22日。从7月初到8月下旬,组织重量和条件指数(CI)的加速增加主要归因于配子的形成,而随后组织重量和CI的减少可能是产卵活动造成的。底部培养基A中的牡蛎在组织生长和CI方面始终比悬浮培养基中的牡蛎表现更好。7月6日,当牡蛎养殖场的过度拥挤问题得到部分解决后,悬浮培养物和底层培养物B中的个体表现出非常相似的生长模式。本研究的结果表明,底部培养是一种在短时间内生产肉质干净的角锥藻的有前途的策略。这种方法也为停办牡蛎养殖场的过度拥挤问题提供了可行的解决方案。然而,需要一种简单、高效、经济的方法来减少底层养殖中螃蟹的捕食。
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引用次数: 0
Aqua3DNet: Real-time 3D pose estimation of livestock in aquaculture by monocular machine vision Aqua3DNet:基于单目机器视觉的水产养殖牲畜实时三维姿态估计
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-07 DOI: 10.1016/j.aquaeng.2023.102367
Ming En Koh , Mark Wong Kei Fong , Eddie Yin Kwee Ng

We present a low-cost monocular 3D position estimation method for perception in aquaculture monitoring. Video surveillance of aquaculture has many advantages but given the size of farms and the complexity of their habitats, it is not feasible for farmers to continuously monitor fish health. We formulate a novel end-to-end deep visual learning pipeline called Aqua3DNet that estimates fish pose using a bottom-up approach to detect and assign key features in one pass. In addition, a depth estimation model using Saliency Object Detection (SOD) masks is implemented to track the 3D position of the fish over time, which is used in this paper to create 3D density heat maps of the fish. The evaluation of the algorithm's performance shows that the detection accuracy reaches 80.63%, the F1 score reaches 87.34%, and the frames per second (fps) reaches 5.12. Aqua3DNet achieves comparable performance to other aquaculture-based computer vision and depth estimation models, with minimal decrease in speed despite the synthesis of the two models.

我们提出了一种低成本的单目3D位置估计方法,用于水产养殖监测中的感知。水产养殖的视频监控有很多优点,但考虑到养殖场的规模和栖息地的复杂性,农民不可能持续监测鱼类健康状况。我们建立了一个新的端到端深度视觉学习管道,称为Aqua3DNet,该管道使用自下而上的方法来估计鱼类姿态,以一次检测和分配关键特征。此外,还实现了一个使用显著对象检测(SOD)掩模的深度估计模型,以跟踪鱼类随时间的3D位置,该模型在本文中用于创建鱼类的3D密度热图。对算法性能的评估表明,检测准确率达到80.63%,F1得分达到87.34%,每秒帧数达到5.12。Aqua3DNet的性能与其他基于水产养殖的计算机视觉和深度估计模型相当,尽管综合了这两个模型,但速度下降幅度最小。
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引用次数: 0
Ultrafiltration for the biosecurity of fish production: The case of a sturgeon nursery 超滤用于鱼类生产的生物安全:以鲟鱼养殖场为例
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-06 DOI: 10.1016/j.aquaeng.2023.102366
J. Yang , A. Mouilleron , M. Monnot , C. Cordier , P. Moulin

Sturgeon farming requires special attention. In addition to a relatively long rearing, climate change has resulted in increasingly high temperatures favorable to the emergence of pathogens. The control of water quality is essential especially the first years of life of the fish to prevent a mimivirus (AcIV-E) and a mycobacterium (Mycobacterium liflandii). These crises can lead to significant mortality (up to 70%) and have only been documented in hatchery populations where mortality can reach as high as 100 %. Mycobacterium liflandii, fatally affects young generations of Siberian sturgeon (Acipenser baerii) mainly in year N + 1 with mortalities reaching 30 % when river temperatures rise above 21 °C (summer period). The retention of these pathogenic microorganisms and of total flora by ultrafiltration was evaluated at a semi-industrial scale. The first part focuses on the specific removal of mimivirus, total flora and mycobacteria and the second part aims to evaluate over the long term (5 months) the hydraulic performances of the ultrafiltration process. Although the temperature (maximum 21 °C) was not sufficient for the mycobacteria to be detected, a good retention of mimiviruses (up to 4.7 log removal) and total flora was observed throughout the study. A more stable water quality was obtained after ultrafiltration and this work confirms the potential great interest of ultrafiltration for the biosecurity of fish production.

鲟鱼养殖需要特别注意。除了相对较长的饲养时间外,气候变化还导致越来越高的温度有利于病原体的出现。水质控制是至关重要的,尤其是在鱼类生命的最初几年,以预防假病毒(AcIV-E)和分枝杆菌(利夫兰迪分枝杆菌)。这些危机可能导致显著的死亡率(高达70%),并且只有在死亡率高达100%的孵化场种群中才有记录。liflandii分枝杆菌主要在N+1年对西伯利亚鲟的年轻一代产生致命影响,当河流温度上升到21°C以上时(夏季),死亡率达到30%。在半工业规模上评估了超滤对这些病原微生物和总菌群的保留。第一部分侧重于模拟病毒、总菌群和分枝杆菌的特异性去除,第二部分旨在长期(5个月)评估超滤过程的水力性能。尽管温度(最高21°C)不足以检测分枝杆菌,但在整个研究中观察到模拟病毒的良好保留(高达4.7 log去除)和总菌群。超滤后获得了更稳定的水质,这项工作证实了超滤对鱼类生产生物安全的潜在巨大兴趣。
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引用次数: 0
Influence of dietary phosphorus on orthophosphate accumulation in recirculating aquaculture systems with rainbow trout (Oncorhynchus mykiss) 日粮磷对虹鳟循环养殖系统正磷酸盐积累的影响
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-09-01 DOI: 10.1016/j.aquaeng.2023.102363
Xiaoyu Huang, Johanne Dalsgaard, Sanni L. Aalto, Ivar Lund, Per Bovbjerg Pedersen

Dietary phosphorus (P) levels affect the excretion of orthophosphate (PO4-P) from fish. Since most recirculating aquaculture systems (RAS) do not specifically remove PO4-P within the recirculating loop, dietary P levels may influence PO4-P concentrations in RAS water. A feeding trial was performed in freshwater RAS, aiming to determine the relationship between dietary P levels and PO4-P accumulation in RAS water, and to examine potential effects of dietary P levels on microbial activity and abundance in RAS water given that P is an essential mineral for all microorganisms. Three diets with 1.49% (HiP), 1.20% (MeP), and 0.89% (LoP) total P, respectively, were each fed to triplicate pilot-scale RAS with juvenile rainbow trout (Oncorhynchus mykiss) for five weeks, applying a daily feed loading of 1.67 kg feed/m3 make-up water. Digestible dietary P levels correlated significantly with the PO4-P concentrations in RAS water at the end of the trial, while no similar correlations with microbial abundance or activity were observed. Nitrate-N concentrations measured by the end of the trial matched predicted equilibrium concentrations. In contrast, measured PO4-P concentrations were approximately 40 – 50% lower than predicted regardless of diets, suggesting that PO4-P was likely utilized by RAS microbes. We therefore speculate whether lowering dietary P levels could become an effective tool for microbial management in RAS.

日粮磷(P)水平影响鱼类正磷酸盐(PO4-P)的排泄。由于大多数循环水产养殖系统(RAS)不会专门去除循环回路中的PO4-P,因此日粮磷水平可能会影响RAS水中的PO4-磷浓度。在淡水RAS中进行了一项饲养试验,旨在确定膳食磷水平与RAS水中PO4-P积累之间的关系,并研究膳食磷水平对RAS水中微生物活性和丰度的潜在影响,因为磷是所有微生物的必需矿物质。三种总磷分别为1.49%(HiP)、1.20%(MeP)和0.89%(LoP)的日粮,分别用幼年虹鳟(Oncorhynchus mykiss)饲喂三份中试规模的RAS,为期五周,日饲料负荷为1.67 kg饲料/m3补充水。试验结束时,可消化的膳食磷水平与RAS水中的PO4-P浓度显著相关,而与微生物丰度或活性没有观察到类似的相关性。试验结束时测得的硝酸盐-N浓度与预测的平衡浓度相匹配。相反,无论饮食如何,测得的PO4-P浓度都比预测的低约40-50%,这表明PO4-P可能被RAS微生物利用。因此,我们推测降低膳食磷水平是否可以成为RAS中微生物管理的有效工具。
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引用次数: 0
Temporal and small-scale spatial variation in spatfall of the mussel Mytilus edulis platensis: Basis for culture management at San Jorge Gulf, Patagonia Argentina 阿根廷巴塔哥尼亚圣豪尔赫湾贻贝飞溅的时间和小尺度空间变化:养殖管理的基础
IF 4 2区 农林科学 Q2 AGRICULTURAL ENGINEERING Pub Date : 2023-08-22 DOI: 10.1016/j.aquaeng.2023.102362
Tomás E. Isola , Damián G. Gil , Mauro S. Marcinkevicius , Héctor E. Zaixso , Néstor J. Cazzaniga

Despite the commercial potential of mussel populations along the Patagonian coast of Argentina, studies on mussel farming and fisheries to the south of parallel 42° S are clearly insufficient thus far. In this study, variations in mussel settlement (between sites and across depths) were monitored for 12 months at two contrasting sites in San Jorge Gulf, Argentina. The effect of depth on spat density was evaluated through monthly samples taken from artificial collectors at three depths (3, 7 and 11 m). The temporal settlement pattern was consistent at both sites, with the maximum spatfall recorded in early March (late summer), coinciding with the peak of sea water temperature. Settlement also correlated with Chl a and particulate organic carbon peak values, typically manifesting 2–3 months later and followed the initial decline in mussel condition during late spring and early summer. Significant differences between localities were detected in settlement abundance. The optimal temporal gap for mussel settlement was observed in mid / late summer, suggesting that this is the optimal time to deploy spat collectors in the field. Settlement was uniform between depths, thereby implying that the specific depth of collector placement did not appear to emerge as a key factor of settlement success.

尽管阿根廷巴塔哥尼亚海岸的贻贝种群具有商业潜力,但到目前为止,对平行42°S以南的贻贝养殖和渔业的研究显然还不够。在这项研究中,在阿根廷圣乔治湾的两个对比地点,对贻贝定居的变化(地点之间和深度之间)进行了为期12个月的监测。通过从三个深度(3米、7米和11米)的人工收集器每月采集的样本,评估了深度对吐沫密度的影响。两个地点的时间沉降模式是一致的,3月初(夏末)记录到最大的飞溅,与海水温度的峰值相吻合。沉降还与叶绿素a和颗粒有机碳峰值相关,通常在2-3个月后出现,并在春末夏初贻贝状况最初下降后出现。各地区之间的定居点丰度存在显著差异。在夏中下旬观察到贻贝定居的最佳时间间隔,这表明这是在野外部署唾沫收集器的最佳时间。不同深度之间的沉降是均匀的,这意味着收集器放置的特定深度似乎并不是沉降成功的关键因素。
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引用次数: 0
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Aquacultural Engineering
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