Fisheries Applications Research Articles

A new, standardized international Pacific Rim baseline for genetic stock identification (GSI) of Chinook Salmon

AbstractObjectiveGenetic stock identification (GSI) can be an effective tool for fisheries management, but development of reference baselines for species with broad geographic distributions can be challenging. Mixed‐stock fisheries for Chinook Salmon Oncorhynchus tshawytscha have utilized GSI analyses for decades with various genetic baselines, but these have largely become outdated with advances in technology that enable more efficient genotyping. Thus, our goals were to (1) create nested baselines of genotypic data for Chinook Salmon throughout their entire natural range using existing data from multiple sources and (2) evaluate the utility of those nested baselines to conduct accurate hierarchical GSI of mixture proportions or the stock identification of individual fish.MethodsIn this study, we compiled a large genetic baseline of single‐nucleotide polymorphism (SNP) markers for 389 populations that encompass the entire geographic range of Chinook Salmon. We used cross validation and realistic mixture simulations to test the accuracy of the baseline in generating GSI estimates.ResultWe demonstrated that a multi‐tiered assignment approach can provide high accuracy at both tier 1 (broadscale, with three coastwide reporting groups; 97.8% mean accuracy) and tier 2 (fine‐scale regional reporting groups; up to 97.7% mean accuracy) levels. Realistic mixture simulations showed that this multi‐tiered approach can provide highly effective GSI results for several common mixed‐stock fisheries applications in the Pacific Ocean.ConclusionThis new SNP baseline and the multi‐tiered assignment approach provide the most comprehensive rangewide GSI baseline for Chinook Salmon over any previous application and enable highly accurate estimates for GSI purposes.

Side‐Scan Sonar as a Tool For Measuring Fish Populations: Current State of the Science and Future Directions

Side‐scan sonar (SSS) is a powerful tool that can be used to address many key questions in fisheries science. In principle, SSS uses dual transducers to transmit a narrow‐beam, wide‐angle acoustic signal as the survey vessel transits an area. The intensity of reflected sound is recorded to generate an image mosaic comprised of benthic substrates and targets in the water column, including organisms such as fish. Although SSS has been around for decades, recent advancements have opened new opportunities to leverage this technology to directly measure fish populations. In this paper, we review the current state of the science and identify opportunities to further refine SSS for fisheries applications.

Comparison of linear and nonlinear modeling approaches to develop an abundance index based on voyage and market data for a data-limited fishery

IntroductionWorldwide coastal fish resources face severe threats from fisheries overexploitation. However, the evaluation of abundance trends in most coastal fisheries is constrained by limited data. This study took blackmouth croaker (Atrobucca nibe), a stock depleted by coastal trawl fishery in southwestern Taiwan, as an example to showcase the development of a relative abundance index from data-limited fishery (only landing data were available).MethodsThis study employed unique data sourcing from voyage data recorders (VDRs) to estimate fishing effort (in combination with landing data to estimate the catch per unit effort, CPUE) that demonstrated the potential application in global data-limited fisheries and assessed alternative approaches for predictors of fishery-targeting practices to condition effort for producing more accurate metrics of relative abundance. The nominal CPUE was standardized using three statistical models: generalized linear model, generalized additive model (GAM), and vector-autoregressive spatiotemporal models (VASTs) with two treatments of each of the four effects: environmental (sea temperature, salinity, density of mixing layer, seafloor temperature, and chlorophyll), vessel, spatial, and targeting effects. A total of 15 models were designed and compared for these effects, and their explanatory power (EP) was evaluated using cross-validation R2 and other metrics.Results and discussionResults indicated that the targeting effect exerted the most significant influence on standardization and was suggested to be addressed through the principal component analysis (PCA) approach. Both vessel and spatial effects demonstrated considerable influence, whereas the environmental effect exhibited a limited impact, possibly due to the small fishing area in this study. Regarding models’ EP, given the nonlinear nature of the PCA algorithm and environmental data, the study highlighted the superiority of the GAM over linear-based models. However, incorporating nonlinear features in VAST (M15) makes it the most effective model in terms of predictive power in this study. Concerning the stock status, despite variations in relative CPUE trends among major models, a general declining trend since 2015 signals the potential decline of the blackmouth stock and urges fishery managers to consider further design of management measures.

Precise underwater fish measurement: A geometric approach leveraging medium regression

Accurate estimation of fish length is crucial aquaculture processes. Precise and real-time estimation of fish length aids fish farmers in formulating effective farming strategies. Existing methods for estimating the length of underwater fish have made significant advancements in overcoming the interferences present in complex underwater environments. Nevertheless, the measurement results of some methods continue to be limited by variations in the refractive index of multiple media and deviations in imaging angles, resulting in measurement errors and diminished practicality. Consequently, we propose a measurement method that aims to address the aforementioned challenges in fisheries aquaculture by providing more accurate and cost-effective solutions. This method initially introduces the concept of regressing multiple media into a single medium to correct underwater depth estimation and enhance underwater imaging quality. Subsequently, an accurate plane fitting algorithm is applied to precisely fit the fish body plane and extract its corresponding normal vector information. Finally, taking into account the light propagation path and accounting for the limitations of precise values, we utilize the geometric relationship between the length of the bounding box and the actual length of the fish to calculate a more accurate estimation of fish body length. Experimental validation showcases the applicability of our measurement method to diverse fish species and substantiates its exceptional performance in both experimental and real-world scenarios. The maximum average relative errors for each group are within 8%, and the average relative error is 3.28% under the exact value constraints presented in the experiments. This method makes a significant contribution to fish length estimation and offers valuable insights for applications in fisheries and aquaculture.

Integrating YOLOv8-agri and DeepSORT for Advanced Motion Detection in Agriculture and Fisheries

This paper integrates the YOLOv8-agri models with the DeepSORT algorithm to advance object detection and tracking in the agricultural and fisheries sectors. We address the current limitations in object classification by adapting YOLOv8 to the unique demands of these environments, where misclassification can hinder operational efficiency. Through the strategic use of transfer learning on specialized datasets, our study refines the YOLOv8-agri models for precise recognition and categorization of diverse biological entities. Coupling these models with DeepSORT significantly enhances motion tracking, leading to more accurate and reliable monitoring systems. The research outcomes identify the YOLOv8l-agri model as the optimal solution for balancing detection accuracy with training time, making it highly suitable for precision agriculture and fisheries applications. We have publicly made our experimental datasets and trained models publicly available to foster reproducibility and further research. This initiative marks a step forward in applying sophisticated computer vision techniques to real-world agricultural and fisheries management.

Cold plasma turns mixed-dye-contaminated wastewater bio-safe

The excessive and uncontrollable discharge of diverse organic pollutants into the environment has emerged as a significant concern, presenting a substantial risk to human health. Among the advanced oxidation processes used for the purification of wastewater, cold plasma technology is superior in fast and effective decontamination but often fails facing mixed pollutants. To address these issues, here we develop the new conceptual approach, plasma process, and proprietary reactor that ensure, for the first time, that the efficiency of treatment (114.7%) of two mixed organic dyes, methylene blue (MB) and methyl orange (MO), is higher than when the two dyes are treated separately. We further reveal the underlying mechanisms for the energy-efficient complete degradation of the mixed dyes. The contribution of plasma-induced ROS and the distinct degradation characteristics and mechanism of pollutants in mixed treatment are discussed. The electron transfer pathway revealed for the first time suggest that the mixed pollutants reduce the overall redox potentials and facilitate electron transfer during the plasma treatment, promoting synergistic degradation effects. The integrated frameworks including both direct and indirect mechanisms provide new insights into the high-efficiency mixed-contaminant treatment. The degradation products for mixed degradation are revealed based on the identification of intermediate species. The plasma-treated water is proven safe for living creatures in waterways and sustainable fishery applications, using in vivo zebrafish model bio-toxicity assay. Overall, these findings offer a feasible approach and new insights into the mechanisms for the development of highly-effective, energy-efficient technologies for wastewater treatment and reuse in agriculture, industry, and potentially in urban water networks.

Blockchain Technology in Fisheries Industry: A Systematic Literature Review

This paper explores the potential of blockchain technology in enhancing the fisheries industry, focusing on traceability, sustainability, and economic efficiency. The fisheries sector plays a vital role in global food security but faces significant challenges, including illegal, unreported, and unregulated (IUU) fishing, overfishing, and inefficiencies in supply chain management. This systematic literature review synthesizes existing research on blockchain applications in fisheries, highlighting its capacity to improve transparency and accountability throughout the supply chain. Blockchain’s immutable ledger and real-time data sharing can enhance traceability, allowing stakeholders to verify the origins of seafood products and ensure compliance with sustainability standards. Additionally, the technology can reduce transaction costs by eliminating intermediaries, thereby increasing profit margins for fishermen. Despite the numerous benefits, challenges such as integration with existing systems and the need for stakeholder collaboration must be addressed for successful implementation. This study contributes to the growing body of knowledge on blockchain in the fisheries sector and offers insights for policymakers and industry stakeholders seeking to leverage technology for sustainable practices.

Exploring YOLOv8 Pretrain for Real-Time Detection of Indonesian Native Fish Species

The main objective of this research is to determine the efficacy of the YOLO model in detecting native fish species found in Indonesia. Indonesia has a variety of maritime natural resources and shows significant diversity. This research utilizes the YOLO architecture, previously trained on several datasets, for fish detection in the environment in Indonesian waters. This dataset consists of various fish species native to Indonesia and was used to retrain the YOLO Pretrain model. The model was evaluated using test data that accurately represents Indonesian water conditions. Empirical findings show that the modified YOLO Pretrain model can accurately recognize these fish in real-time. After utilizing YOLO and Pre-Train with Ultralytics YOLO Version 8.0.196, the results show an accuracy of 92.3% for head detection, 86.9% for tail detection, and an overall detection accuracy of 89.6%. The fish image dataset, consisting of a total of 401 images, is categorized into three subsets: the training dataset, which consists of 255 images; the validation dataset, which includes 66 images; and the testing dataset, which contains 80 images. This research has great potential for application in fisheries monitoring, marine biology research, and marine environmental monitoring. A real-time fish detection system for the Identification and tracking of fish species is carried out by researchers and field workers. The findings of this research provide a valuable contribution to ongoing efforts aimed at conserving marine biodiversity and implementing more sustainable management practices in Indonesia.

Application of CRISPR-Cas9 genome editing technology in various fields: A review.

CRISPR-Cas9 has emerged as a revolutionary tool that enables precise and efficient modifications of the genetic material. This review provides a comprehensive overview of CRISPR-Cas9 technology and its applications in genome editing. We begin by describing the fundamental principles of CRISPR-Cas9 technology, explaining how the system utilizes a single guide RNA (sgRNA) to direct the Cas9 nuclease to specific DNA sequences in the genome, resulting in targeted double-stranded breaks. In this review, we provide in-depth explorations of CRISPR-Cas9 technology and its applications in agriculture, medicine, environmental sciences, fisheries, nanotechnology, bioinformatics, and biotechnology. We also highlight its potential, ongoing research, and the ethical considerations and controversies surrounding its use. This review might contribute to the understanding of CRISPR-Cas9 technology and its implications in various fields, paving the way for future developments and responsible applications of this transformative technology.

Observing fish interactions with marine energy turbines using acoustic cameras

AbstractMarine current energy converters such as tidal and riverine turbines have the potential to provide reliable, clean power. The risk of collision of fishes with marine energy turbines is not yet well understood, in part due to the challenges associated with observing fish at turbine sites. Turbidity and light availability can limit the effectiveness of optical sensors like video cameras, motivating the use of acoustic cameras for this task. However, challenges persist in collecting and interpreting data acquired from acoustic cameras. Given the limited number of turbine deployments to date, it is prudent to draw on the application of acoustic cameras to monitor fish in other scenarios. This article synthesizes their use for other fisheries applications to inform best practices and set realistic expectations for the results of acoustic camera monitoring at turbine sites. We discuss six key tasks performed with acoustic cameras: detecting objects, identifying objects as fish, counting fish, measuring fish, classifying fish taxonomically and analysing fish behavior. Specific challenges to monitoring fish at turbine sites are discussed. This article is intended to serve as a reference for researchers, regulators and marine energy developers on effective use of acoustic cameras to monitor fish at turbine sites. The studies detailed in this article provide evidence that, in some scenarios, acoustic cameras can be used to inform the risk of fish collision with marine energy turbines but doing so requires careful study design and data processing.

Multi-nighttime-light data comparison analysis based on image quality values and lit fishing vessel identification effect

Fisheries provide high-quality protein for many people, and their sustainable use is of global concern. Light trapping is a widely used fishing method that takes advantage of the phototropism of fish. Remote sensing technology allows for the monitoring of lit fishing vessels at sea from the air at night, which supports the sustainable management of fisheries. To investigate the potential of different nighttime light remote sensing data for lit fishing vessel identification and applications, we used the fuzzy evaluation method to quantitatively assess images in terms of their radiometric and geometric quality, and Otsu’s method to compare the effects of lit fishing vessel identification. Three kinds of nighttime lighting data from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS), Visible infrared imaging radiometer suite day/night band (VIIRS/DNB), and Luojia1-01(LJ1-01) were analyzed, compared, and application pointers were constructed. The results are as follows. ①In the image radiation quality evaluation, the information entropy, clarity, and noise performance of the LJ1-01 image are higher than those of the DMSP/OLS and VIIRS/DNB images, where the information entropy value of the LJ1-01 image is nearly 10 times that of VIIRS/DNB and 23 times that of DMSP/OLS. The average gradient value is 14 times that of the image from VIIRS/DNB and 1,600 times that of DMSP/OLS, while its noise is only about 2/3 of the VIIRS/DNB image and 1/3 of the DMSP/OLS image. In the geometric quality assessment, the geometric positioning accuracy and ground sampling accuracy of the VIIRS/DNB image is the best among the three images, with a relative difference percentage of 100.1%, and the LJ1-01 and DMSP/OLS images are relatively lower, at 96.9% and 92.3%, respectively. ② The detection of squid fishing vessels in the Northwest Pacific is taken as an example to compare the identification effects of three types of data: DMSP/OLS, VIIRS/DNB, and LJ1-01. Among these data, DMSP/OLS can effectively identify the position of the lit fishing boat, and VIIRS/DNB images can accurately estimate the spatial position and number of lit fishing boats with large distances. However, in the case of fishing boats gathering or clustering, the number of fishing vessels could not be identified. This led to the detected number of lit fishing vessels being less than the real value. For the VIIRS/DNB and LJ1-01 images with a 5′×8′ span in the same spatiotemporal range using the same batch of pelagic squid fishing vessels, LJ1-01 extracted 18 fishing vessels. VIIRS/DNB extracted 15, indicating that LJ1-01 can distinguish multiple fishing vessels in the lighted overlapping area, thus accurately identifying the number of fishing vessels. The application pointing table generated based on the results of the three data analyses can provide a reference for sensor/image selection for nighttime light remote sensing fishery applications and a basis for more refined fishing vessel identification, extraction, and monitoring.

Experimental evaluation of dimension-stable synthetic fibre rope under investigation of spooling test on the multilayer winch drum

Synthetic fibre rope has been a promising solution in ocean exploring applications benefiting from its excellent mechanical properties and high-strength lightweight. However, spooling on the multilayer winch with fibre rope was noticed as a severe problem as a consequence of its nonlinear lateral stiffness property. Substantially increased layers of winding packages caused the deformation of rope. Therefore, a modified rope evolved from applications in fisheries with tight dimensional stability and resistance to deformation under compression is seen as an alternative selection. In this research, characteristics of a 24 mm high module polyethylene (HMPE) dimension-stable marine handling rope subjected to various tension are investigated by a series of full-scale spooling experimental tests on a specially designed test winch at a diameter ratio of D/d = 600/24. The results compared with another spooling experiment conducted in 2021 using an HMPE rope without a core but at the same D/d ratio reveal that the modified rope could induce greater loads than the former. Besides, analytical and numerical calculations will be discussed to assess the accuracy of experimental measurements. Further, a novel winding model is proposed to estimate the deformation of rope shape, evaluate the performance of rope winding and adjust rope spooling adaptability.

A new concept for bycatch reduction in small-scale accordion-shaped trap fisheries of the Yellow Sea, China

The bycatch issue is a major concern in small-scale accordion-shaped trap fisheries in the Yellow Sea of China because of the poor species and size selectivity of fishing gear and the co-occurrence of multispecies. Two threatened flatfish species assessed by the IUCN, marbled flounder (Pseudopleuronectes yokohamae) and stone flounder (Platichthys bicoloratus), are the two main bycatches in accordion-shaped trap fisheries. This fishery also captures a large proportion of juvenile target species, resulting in both recruitment and growth overfishing of these species. In this study, we introduced a new concept of a combined sorting grid and escape vent (CSEV), a selection device aimed at reducing the bycatch of flatfish and undersized target species in mixed-species trap fisheries. We used a catch comparison method to assess the performance of the CSEV in field experiments, with conventional traps as the baseline. Our results demonstrated that the CSEV significantly improved the species and size selectivity of the traps. Test traps mounted with the CSEV significantly reduced the catch rates of marbled flounder and stone flounder by 70% and 74% throughout the length class, respectively, compared with conventional traps. The catch of undersized target species, namely, fat greenling (Hexagrammos otakii), black rockfish (Sebastes schlegelii), and Asian paddle crab (Charybdis japonica), was reduced by 79%, 75%, and 80%, respectively, while the catch rates of target-sized individuals were maintained or even improved. Given these promising results, the CSEV may have great potential for application in accordion-shaped trap fisheries and similar fisheries.

Fabrication of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) Fibers Using Centrifugal Fiber Spinning: Structure, Properties and Application Potential

Biobased and biodegradable polyhydroxyalkanoates (PHAs) are currently gaining momentum. Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (PHBHHx) polymer has a useful processing window for extrusion and injection molding of packaging, agricultural and fishery applications with required flexibility. Processing PHBHHx into fibers using electrospinning or centrifugal fiber spinning (CFS) can further broaden the application area, although CFS remains rather unexplored. In this study, PHBHHx fibers are centrifugally spun from 4-12 wt.% polymer/chloroform solutions. Beads and beads-on-a-string (BOAS) fibrous structures with an average diameter (ϕav) between 0.5 and 1.6 µm form at 4-8 wt.% polymer concentrations, while more continuous fibers (ϕav = 3.6-4.6 µm) with few beads form at 10-12 wt.% polymer concentrations. This change is correlated with increased solution viscosity and enhanced mechanical properties of the fiber mats (strength, stiffness and elongation values range between 1.2-9.4 MPa, 11-93 MPa, and 102-188%, respectively), though the crystallinity degree of the fibers remains constant (33.0-34.3%). In addition, PHBHHx fibers are shown to anneal at 160 °C in a hot press into 10-20 µm compact top-layers on PHBHHx film substrates. We conclude that CFS is a promising novel processing technique for the production of PHBHHx fibers with tunable morphology and properties. Subsequent thermal post-processing as a barrier or active substrate top-layer offers new application potential.

Non-coding RNAs targeting NF-κB pathways in aquatic animals: A review.

Nuclear factor-kappa B (NF-κB) pathways have a close relationship with many diseases, especially in terms of the regulation of inflammation and the immune response. Non-coding RNAs (ncRNAs) are a heterogeneous subset of endogenous RNAs that directly affect cellular function in the absence of proteins or peptide products; these include microRNAs (miRNAs), long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), etc. Studies on the roles of ncRNAs in targeting the NF-κB pathways in aquatic animals are scarce. A few research studies have confirmed detailed regulatory mechanisms among ncRNAs and the NF-κB pathways in aquatic animals. This comprehensive review is presented concerning ncRNAs targeting the NF-κB pathway in aquatic animals and provides new insights into NF-κB pathways regulatory mechanisms of aquatic animals. The review discusses new possibilities for developing non-coding-RNA-based antiviral applications in fisheries.

Using a horizontal-separator panel in an Australian fish trawl to quantify species-specific changes in vertical orientations during capture

Owing to few data describing species-specific vertical orientations during capture in Australian fish trawls, but the need for information to progress modifications to improve selectivity and reduce operational costs, a generic trawl was fished with upper and lower (‘dual’) extensions/codends, and with and without a horizontal-separator panel in the posterior 50% of the body. The two configurations facilitated quantifying the vertical orientations of species from the mid to posterior trawl body based on catches. During 32 deployments, 13 and eight commercial and non-commercial species/groups were caught in sufficient quantities for analyses. The commercial species entered the posterior trawl at varying heights, but many individuals (including the most abundant, tiger flathead, Platycephalus richardsoni and especially larger fish) initially orientated low in the mid trawl, and then moved upwards at the posterior trawl to present similar catches in each of the dual codends. Eastern school whiting, Sillago flindersi was the only commercial species showing the opposite behaviour, entering higher in the mid trawl before orientating downwards. Non-commercial catches were biased towards rays, skates and stingarees (46%) and all except smooth stingrays, Bathytoshia brevicaudata mostly entered the lower posterior trawl, with proportionally fewer than commercial species eventually rising upwards. The data benefit prioritizing future modifications for regional testing, including lowering the headline and increasing mesh size in the anterior, upper trawl body to reduce drag (which might not greatly affect catches of commercial species) and/or changing the lower anterior trawl body to stimulate key fish to rise up earlier, and potentially facilitate separating unwanted elasmobranchs, possibly via bottom-opening grids or larger meshes/drop-out panels in the posterior trawl. More broadly, the data reiterate the benefits of horizontal-separator panels for providing insight into species-specific behaviour in trawls, supporting their application in other fisheries.

Fish cultivation counseling through digital fisheries applications to coastal communities in Indonesia

Efforts to equalize opportunities through digital application technology benefit not only the creators of the technology but also other parties. We have virtually searched data from several sources to prove and align this discussion. We analyzed it in the phenomenological approach chapter, which involves, among other things, a data coding system, a thorough evaluation of in-depth interpretation, and concluding so that this study can obtain valid and reliable findings. Based on the findings and discussions validated by scientific evidence, fisheries extension consultation through the assistance of digital fisheries applications in coastal communities in Indonesia is a breakthrough carried out by the government supported by the private sector and the participation of fishing communities. These findings will provide new insight into increasing the scientific repertoire of fisheries and technology studies. Therefore, it will be helpful for academics, industry, and the wider community.

Investigation of fisheries resources through digital fisheries applications towards a culture community in the revolution 5.0

Investigating marine resources through the application of technology today is a critical issue to be developed towards a technology-based 21st-century fishing society. We obtained the data from publications from 2010 to 2022. Then we examined the phenomenological approach, which involved an in-depth evaluation data coding system and high interpretation in obtaining data with high validity to answer the problems and hypotheses. After a series of studies and discussion of the results, we can conclude that investigations of marine resources using technological applications have resulted in several applications, including the track fish application, the Nusantara sea application, the intelligent fishermen application, Nusantara fishermen, Wakatobi Ais, and then I long books application. This is useful for the development of similar studies in the future.

Blockchain Applications in Fisheries

Urbanization has led to increasing fish consumption, resulting in high demand for fish and fish products. Challenges in this sector, include fraudulent fish supply, overfishing, unscientific handling, quality concerns, etc. Blockchain-based systems in the seafood sector could provide traceability access to the seafood for the consumers and authorities to know if the seafood consumed/sold is legal, ethical, hygienic, economic, etc. Blockchain platforms like Ethereum promote secure digital collaboration of the actors across the supply chain eliminating the intermediaries. The literature documents a very limited number of blockchains that operate in the fisheries sector. Pacifical Atato is designed to promote and develop yellowfin tuna supply chains of Pacific island nations. Project Provenance Limited seeks to bring an end to the unsustainable fishing practices. Tuna distribution through transparent, novel chains is the goal of TraSeable solutions. Treum explored the investments to develop the supply chains of fisheries in the South Pacific. IBM’s Food Trust traces food supplies, including farmed shrimp from India, and is affiliated with retailers like Walmart, Nestle, etc. OpenSC is a World Wildlife Fund (WWF) project that ensures ethical product sourcing and uses QR (Quick Response) code scanning and RFID (Radio Frequency Technology) to track fish.

Research findings and application in aquaculture and fisheries: bridge-building measures among lecturers of agricultural education in Nigeria

The reduction in the capture of wild fishes and other important aquatic organisms has created a wide gap between the quantity of aquatic products supplied by farmers and the quantity demanded by consumers in Nigeria. Meanwhile, agricultural educators are being encouraged to use their knowledge of aquaculture and fisheries to improve supply for sustainable food security. However, there are challenges in accessing and communicating such innovative research findings to the end users- farmers and prospective farmers- especially in the classroom. Hence, the study identified constraints and bridge-building measures among agricultural educators in accessing and applying research findings to teaching aquaculture and fisheries in Nigeria. The study adopted an exploratory sequential mixed method and a thematic approach. Sixty-three agricultural educators who are experienced specialists in aquaculture and fisheries were purposefully sampled. A validated online semi-structured interview guide and structured questionnaire were used to elicit qualitative and quantitative data, respectively, from respondents. A Cronbach’s alpha reliability index of 0.93 was obtained. A t-test was used to test the null hypothesis at a 0.05 level of significance. The study, among others, identified 13 thematic constraints to accessing research findings, 14 thematic constraints to applying research findings, and 5 thematic and 7 thematic bridge-building measures for accessing and applying research findings, respectively, to educate farmers and prospective farmers in aquaculture and fisheries in Nigeria. There should be collaborative efforts by the government, scientists, research institutes, international research organisations, producers, and agricultural education lecturers in accessing and applying research findings for updated and globalised aquaculture and fisheries education in Nigerian universities.