Journal of The World Aquaculture Society最新文献

In this study, we aimed to experimentally induce fatty liver disease in rainbow trout, Oncorhynchus mykiss, and then assessed the illness recovery process, growth, and changes in the expression of FAAH and ACADL genes in both healthy (0 [C2] and 4% apple cider vinegar [T4]) and diseased fish (0 [C1], 1 [T1], 2 [T2], and 4% [T3]) apple cider vinegar. To conduct the study, 180 rainbow trout were randomly assigned to six different experimental treatments, each with three replications. The investigation lasted for 60 days. Growth indices, liver histology, blood biochemical parameters, and transcription of the ACADL and FAAH genes in the liver tissue were measured. The study found no significant differences in the final weights across all the treatments. Apple cider vinegar (ACV) administration resulted in a decrease in AST, ALT, and ALP; however, these values did not show a significant difference from C2. In T3, triglycerides significantly decreased (p < 0.05), whereas in T4, triglycerides significantly increased (p < 0.05). Hepatocytes from ACV-containing treatments showed reduced fat compared with T4 and the control group (C1). While there was a significant difference (p < 0.05) in the expression of the FAAH gene, there was no significant difference (p > 0.05) in the expression of the ACADL gene between experimental treatments. The findings of our study indicate that an inclusion of up to 2% ACV may have positive effects on trout aquaculture and NAFLD treatment.

Saccharina japonica is common aquaculture species in Asia, whereas S. latissima is cultivated in North America and Europe. This study aims to select superior strains using breeding techniques for high-temperature tolerance and faster development at the early sporophytic stage. Qualitative experiments were conducted to observe the reproduction and early development of sporophytes under different temperatures (5, 10, 15, and 20°C) and light conditions (5 and 40-μmol photons m⁻² s⁻¹) for 20 days after male and female gametophytes were crossed. Two female (F05 and F15, S. japonica; FB and FO, S. latissima) and male (M06 and M14, S. japonica; MB and MO, S. latissima) gametophyte strains in each species were used. No inter-specific crosses were made. Four possible intraspecific crosses were cultured. Regardless of the species, the development of sporophytes was observed earlier at 10°C than all other temperatures (5, 15, and 20°C). No sporophytes were observed at 20°C during the experiment. The crosses of F15xM14 (S. japonica) and FBxMB (S. latissima) showed higher thermal tolerance and rapid development of sporophytes than other crosses. These results suggest that optimal reproduction and early development of sporophytes can vary from species to species of the same genus and even between strains of the same species.

Disease freedom surveillance is challenging in settings where environmental conditions and population health can change abruptly. We propose a novel approach to freedom evaluation that is specifically suited to open environments. The approach merges information about pathogen introduction risk with information from pathogen surveillance to estimate assurance of freedom. While the logic is not new, the approach uses a generalizable model designed by an expert panel to estimate introduction probability, easing the need for costly, site-specific risk assessment. This introduction probability is then used to inform the time-adjusted value of historical surveillance data and adapt the consequent requirements (sampling volume and frequency) of future surveys. We apply the approach to an open water region on the Pacific Coast of the United States known for its mollusk production. Results support absence of the target pathogens—Marteilia refringens, Marteilioides chungmuensis, Ostreid herpesvirus 1, Perkinsus marinus, and Perkinsus olseni—for the host species, region, and time-period under investigation. Findings demonstrate (1) the ability to retain assurance in pathogen freedom through time in open systems, (2) the limitations of sample volume, and importance of sampling frequency, for pathogens with higher introduction risk, and (3) expert elicitation as a generalizable alternative to formal risk assessment.

Piscine intestinal Cryptosporidium infection is a known cause of severe illness and mortality in juvenile Asian sea bass, with inflammation playing a central role. This inflammation triggers the generation of reactive oxygen species (ROS), leading to irreversible DNA damage and activation of apoptosis pathways. However, the specific impact of inflammation on ROS production, DNA damage, and apoptosis in this context remains unclear. This study investigated the pathogenic role of inflammation and ROS in causing DNA damage and cell apoptosis in piscine intestinal cryptosporidiosis. Forty-four intestinal samples from 60- and 90-day juvenile Asian sea bass were divided into four groups based on Cryptosporidium infection status. Histopathological evaluation and immunofluorescent analysis were conducted to assess ROS production, DNA damage, and cellular apoptosis markers. Results showed significantly higher inflammatory cell infiltration, intracellular ROS production, DNA damage, and cellular apoptosis in 60-day infected fish compared to 90-day infected fish. These findings underscore distinct responses in juvenile Asian sea bass to piscine intestinal cryptosporidiosis, highlighting severe inflammation, oxidative DNA damage, and cellular apoptosis, particularly in younger fish.

The integrated multitrophic aquaculture (IMTA) of sea cucumber and abalone has been proposed as a potential bioremediation tool that stimulates increased abalone growth. This study assessed the role of sea cucumber stocking density and frequency of tank cleaning in IMTA on growth, water, and sludge bioremediation. The study was conducted for 16 weeks and was made of four treatments and four replicates; abalone cocultured with sea cucumber (low density—27: 1 g [abalone (ab): sea cucumber (sc)]) with tanks cleaned once a week (L1); abalone cocultured with sea cucumber (low density) with tanks cleaned twice a week (L2); abalone cocultured with sea cucumber (high density—15:1 g [ab:sc]) with tanks cleaned once a week (H1) and abalone cocultured with sea cucumber (high density) with tanks cleaned twice a week (H2). Rearing water nitrite was significantly lower (p = 0.001) at high stocking density of sea cucumbers, but sludge was unaffected. Tanks cleaned once weekly had higher sludge organic matter (p = 0.015) and sludge sulfur content (p = 0.020) and lower sludge carbon (p = 0.003) and nitrogen content (p = 0.049). At the end of the experiment, the stocking density of sea cucumber and frequency of tank cleaning affected abalone mean weight [p = 0.047; p = 0.011, respectively] without a significant interaction (p = 0.517). Abalone in H1 had a higher mean weight and shell length than abalone in L2 and H2 but was similar to those in L1. The stocking density and frequency of cleaning used in this study had no effect on the growth of sea cucumbers [p = 0.150; p = 0.470, respectively]. This study has shown that in an abalone–sea cucumber IMTA system, the stocking density of sea cucumber and the frequency at which tanks are cleaned influence abalone growth and bioremediation of the rearing water. Our result suggests H1 as the best density (ab:sc) and cleaning frequency. The tank cleaning frequency alone affects the tank sludge quality; tanks need not be washed too frequently as, in addition to causing animal stress, cleaning markedly increased carbon and nitrogen level of tank sludge. Both these effects are likely to negatively impact abalone growth.

This study investigated the effects of water and feed-derived boron on the growth performance and blood parameters of Nile tilapia fingerlings. Two different experiments were designed for this purpose. The first phase of the study determined the LC₅₀ (96-h) value of boron for Nile tilapia. Fish were then fed in water containing boron at a ratio of 1:20 of the LC₅₀ value. In the second experiment, feed containing boron at different rates (0.00%, 0.01%, 0.05%, and 0.10%) was fed for 40 days. At the end of the feeding period, growth performance, hematology, and blood biochemistry parameters were determined. The study concluded with a calculated LC₅₀ value of 161.053 mg/L boron for Nile tilapia. The initial weight was 12.51 ± 0.79 g; at the end of feeding, the final weights were determined as 26.36 ± 0.15 g for the control and 28.07 ± 0.23, 32.28 ± 0.25 and 24.81 ± 0.48 g for 0.01%, 0.05% and 0.10% of boron feed treatments, respectively. At the end of feeding in water containing boron, the final weight of Nile tilapia was determined as 24.26 ± 0.26 g (LC₅₀/20%). The results showed that feeding Nile tilapia with 0.05% boron-supplemented feed stimulated growth and positively affected blood parameters, whereas waterborne boron inhibited Nile tilapia growth and negatively affected blood parameters.

The aim of this study was to assess the digestible protein value of three novel poultry products (Pea/Lentil-PM, Hen on Hen-PM, and soybean meal (SBM)-PM), then a growth trial with a 2 × 5 design was conducted where SBM-PM was included at five levels: 0, 5, 10, 15, and 30% in both a fish meal (FM)-based diet and a plant protein (PP)-based diet. Thirty rainbow trout (initial size = 10.7 ± 0.15 g; Troutlodge Inc, Sumner, WA) per tank were stocked into a 15°C recirculating system. Fish in triplicate tanks were fed twice daily to apparent satiation for 12 weeks. SBM-PM had no effect on final weight (p = 0.3665; FM 233 vs. PP 237) or growth rate (p = 0.4703; FM 2070% vs. PP 2097%). Significant interactions between dietary protein and SBM-PM for both intake (p = 0.0080) and FCR (p = 0.0081) indicate increased intake of fish fed the plant protein-based diet without SBM-PM. Regression modeling of this effect yields a polynomial model with an R-square of 0.78; p < 0.0001 explained by the relationships: $��\text{Plant}��\mathrm{FCR}�=�0.875�-�0.0087��\text{Inclusion}�+�0.00062��{\text{Inclusion}}^2�$ and $��\text{Plant intake}�=�2.02�-�0.02��\text{Inclusion}�+�0.0014��{\text{Inclusion}}^2�$, respectively. These values suggest that the SBM-PM can be included up to 30% in rainbow trout feeds to reduce feed costs without negatively impacting performance.

Depleting European lobster, Homarus gammarus, wild stocks from historic overexploitation, stock enhancement programs, and farming of this lucrative species are viable options for meeting consumer demand. Early larval stages pose a hatchery challenge because of low survival rates. This study evaluates pseudo-green water benefits during the larval stage. Commonly used aquaculture algal species, Tetraselmis suecica (TS), Dunaliella tertiolecta (DT), and Nannochloropsis sp. (N), were tested as a monoculture or mixture treatment over 13 days post-hatching of the lobster larvae, from this, seven treatment permutations (TS, DT, N, TS + DT, TS + N, DT + N, and TS + DT + N) were included. A further eighth treatment with no added algae was used as a basal reference point (control). The growth assessment found that co-culturing had benefited carapace length and shell coloration (cephalothorax, p = 0.023) but no enhancement to the weight or survival ratios was observed. All larvae reached stage III by the 13th day, with survival rates ranging between 12.5% and 20%. Results indicated that mixed algal species generally had higher mean growth perfromance values than monoalgal cultures and clearer water. Nannochloropsis sp. significantly improved growth performance (higher weight and length). Algal matrices containing Nannochloropsis sp. resulted in the highest growth performance, emphasizing the importance of co-culturing lobster larvae with algae to improve hatchery operations.

Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual-information-based method for measuring olive flounder (Paralichthys olivaceus) length, using accurate growth tracking for efficient aquaculture management. Using two cameras, an light-emitting-diode (LED) grid was placed at the bottom of the water tank to measure fish length. The pixels unit from the fish length in the captured image was converted to centimeters based on the relationship of a pre-built dataset. A total of 180 lengths were calculated using images captured by the cameras. The average length of each fish acquired from the cameras was calculated separately, and Lagrange's interpolating polynomial algorithm was implemented to calculate the overall length of each fish. This method reduced the computational complexity, and results were obtained more rapidly and in a user-friendly environment. The power model generated the length–weight relationship, which allowed us to estimate the body weight of each olive flounder based on the length. The proposed approach enabled us to calculate the length of olive flounders with a highly accurate R² of 0.995.

This research article presents a systematic literature review on the current state-of-the-art artificial intelligence (AI) methodologies used in aquaculture applications. As the demand for seafood continues to grow, the aquaculture industry faces numerous challenges, including disease management, feeding optimization, water quality monitoring, and extraction of aquaculture area. To address these challenges effectively and sustainably, AI techniques have been increasingly applied in aquaculture systems over recent years. This review aims to analyze various AI methodologies utilized within different aspects of aquacultural practices. By examining existing studies and identifying trends and gaps in research areas related to AI integration into aquaculture practices, this paper provides valuable insights for further advancements. The purpose was to synthesize current knowledge on application and its challenges in implementing AI technologies within the commercial aquaculture industry. Specifically, the review is to identify and analyze peer-reviewed studies reporting on applications of AI technologies in aquaculture industry, to classify and summarize the key findings from the selected studies in aquaculture operations through AI, and to evaluate and discuss any challenges reported regarding the implementation and adoption of AI solutions in commercial aquaculture. The overall goal was to comprehensively assess these via a systematic literature review process. Challenges of AI technologies and methods were identified in the research literature for applying AI to optimize commercial aquaculture practices and production. An exhaustive search of a scholarly database from Scopus, was performed and papers published in English between 2020 and 2024 were considered for inclusion. After a rigorous screening process involving over 116 studies, 57 highly relevant works were identified and analyzed according to key themes involving demonstrated AI applications, employed methodologies and challenges that are expected when applying such methods. The findings revealed that AI-driven tools such as computer vision, machine learning, and predictive modeling hold much potential for enhancing sustainability, efficiency, and productivity within aquaculture operations through applications like disease monitoring, environmental management, and production optimization. However, the review also uncovered substantial challenges that will continue limiting widespread adoption, including restricted access to representative data, prohibitive expenses, technical complexities, lack of social acceptance, and data privacy and security concerns. This comprehensive synthesis of the current evidence available provides an empirical foundation upon which further progress can be built by identifying priority areas requiring additional research efforts to fully address challenges on the responsible integration of suitable solutions for the commercial aquaculture industry globally.