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  • 1
    In: Sustainability, MDPI AG, Vol. 15, No. 4 ( 2023-02-10), p. 3237-
    Abstract: Italy supplies approximately 96% of EU-farmed Manila clams. Following a reduction in wild seed availability, farmers started to depend on hatchery-produced seed, mainly imported from other countries. Indeed, only one hatchery is currently operating in Italy. This study quantifies the environmental impacts of seed production in this Italian hatchery facility to inform future planning for improving the sustainability of the supply chain. The environmental performance of the Manila clam hatchery was evaluated using the Life Cycle Assessment methodology. A cradle-to-gate analysis was performed, covering the following production phases: (1) microalgae production, (2) broodstock maintenance and conditioning, and (3) larval rearing until marketable size. The functional unit adopted was 1 kg of live clam seed. The main driver of the environmental impacts was electricity consumption, contributing over 80% for all impact categories. Other inputs showed minor contributions to different impact categories, including liquid oxygen, water pumps, and high-density polyethylene. This study highlights that the environmental burden associated with seed production could be reduced by switching to alternative technologies to meet energy needs, such as investments in photovoltaic and wind energy production systems.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2518383-7
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  • 2
    In: Sustainability, MDPI AG, Vol. 15, No. 11 ( 2023-05-25), p. 8608-
    Abstract: Over the last decades, harmful dinoflagellate (Dinophysis spp.) blooms have increased in frequency, duration, and severity in the Mediterranean Sea. Farmed bivalves, by ingesting large amounts of phytoplankton, can become unsafe for human consumption due to the bioaccumulation of okadaic acid (OA), causing Diarrhetic Shellfish Poisoning (DSP). Whenever the OA concentration in shellfish farmed in a specific area exceeds the established legal limit (160 μg·kg−1 of OA equivalents), harvesting activities are compulsorily suspended. This study aimed at developing a machine learning (ML) predictive model for OA bioaccumulation in Mediterranean mussels (Mytilus galloprovincialis) farmed in the coastal area off the Po River Delta (Veneto, Italy), based on oceanographic data measured through remote sensing and data deriving from the monitoring activities performed by official veterinarian authorities to verify the bioaccumulation of OA in the shellfish production sites. LightGBM was used as an ML algorithm. The results of the classification algorithm on the test set showed an accuracy of 82%. Further analyses showed that false negatives were mainly associated with relatively low levels of toxins ( 〈 100 μg·kg−1), since the algorithm tended to classify low concentrations of OA as negative samples, while true positives had higher mean values of toxins (139 μg·kg−1). The results of the model could be used to build up an online early warning system made available to shellfish farmers of the study area, aimed at increasing the economic and environmental sustainability of these production activities and reducing the risk of massive product losses.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2518383-7
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  • 3
    In: Journal of the World Aquaculture Society, Wiley, Vol. 54, No. 4 ( 2023-08), p. 965-981
    Abstract: In this study, 144 red swamp crayfish ( Procambarus clarkii , initial mean weight 3.9 ± 0.3 g) juveniles were fed diets containing graded levels of purslane ( Portulaca oleracea ), with a decreasing percentage of proteins (from 17.3% to 1.0%) for 10 weeks. Six diets were administered: four fishmeal diets containing 5%, 15%, 25%, and 50% purslane, a diet with 100% purslane, and a commercial diet. Growth performance and the amounts of fatty acids and carotenoids were measured. Crayfish fed 25% and 50% purslane diets showed optimal contents in fatty acids (FAs) and astaxanthin, and their growth was comparable to that of the control group. Significant differences in FA content of the crayfish groups were observed for saturated FAs, monounsaturated FAs (MUFAs), and polyunsaturated FAs (PUFAs). The highest levels of n  − 3 α‐linolenic acid (ALA) and n  − 6 linoleic acid (LA) were found in the groups fed 25%, 50%, and 100% purslane diets. This study shows that the best purslane content to be included in the crayfish diet should range between 25% and 50%. Although the nutritional value of purslane is low, its inclusion at up to 50% in crayfish diets seems to improve the carotenoid content and FA quality, while reducing the daily intake of animal protein, without affecting growth performance, thus contributing to the goal of more sustainable crustacean aquaculture.
    Type of Medium: Online Resource
    ISSN: 0893-8849 , 1749-7345
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2233509-2
    SSG: 21,3
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  • 4
    Online Resource
    Online Resource
    CSIRO Publishing ; 2012
    In:  Pacific Conservation Biology Vol. 18, No. 4 ( 2012), p. 297-
    In: Pacific Conservation Biology, CSIRO Publishing, Vol. 18, No. 4 ( 2012), p. 297-
    Abstract: The Great Whale Count (GWC) is an annual citizen science event that monitors changes in humpback whale (Megaptera novaeangliae) sightings in Maui County during the breeding season. The study includes 15 years of observations (1995–1996 and 1999–2011) with over 11 000 whale sightings. We provide a critical examination of the utility of the citizen science data given the challenges of observer-, site- and year-specific biases in counts, as well as an immeasurable and imperfect detection process. We estimate an annual increase of 5.16% per year (±2.76%), which closely resembles earlier trend estimates for Hawai’i. We demonstrate how uncertainty estimates in citizen science data can be strongly influenced by sampling processes, especially observer effects. Although such effects are now widely recognized in ecological studies, citizen science data often predate the mainstreaming of sampling protocols which measure and adjust for imperfect detectability. Here, we propose random effect models to minimize such effects in lieu of detectability techniques, and urge citizen science programs to adapt their protocols to handle observer processes at the planning and data collection stage.
    Type of Medium: Online Resource
    ISSN: 1038-2097
    Language: English
    Publisher: CSIRO Publishing
    Publication Date: 2012
    SSG: 12
    SSG: 23
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Reports Vol. 12, No. 1 ( 2022-09-19)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-09-19)
    Abstract: Common aquaculture practices involve measuring fish biometrics at different growth stages, which is crucial for feeding regime management and for improving farmed fish welfare. Fish measurements are usually carried out manually on individual fish. However, this process is laborious, time-consuming, and stressful to the fish. Therefore, the development of fast, precise, low cost and indirect measurement would be of great interest to the aquaculture sector. In this study, we explore a promising way to take fish measurements in a non-invasive approach through computer vision. Images captured by a stereoscopic camera are used by Artificial Intelligence algorithms in conjunction with computer vision to automatically obtain an accurate estimation of the characteristics of fish, such as body length and weight. We describe the development of a computer vision system for automated recognition of body traits through image processing and linear models for the measurement of fish length and prediction of body weight. The measurements are obtained through a relatively low-cost prototype consisting of a smart buoy equipped with stereo cameras, tested in a commercial mariculture cage in the Mediterranean Sea. Our findings suggest that this method can successfully estimate fish biometric parameters, with a mean error of ± 1.15 cm.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2615211-3
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  • 6
    In: Aquaculture Studies, Central Fisheries Research Institute (SUMAE), Vol. 21, No. 4 ( 2021-7-30)
    Abstract: Responsible aquaculture, the farming of aquatic organisms, is a sustainable strategic sector for land and coastal communities. It significantly contributes to food security and enhancement of economic development; it provides employment opportunities and often contributes to the ecological services provided by the environment. According to the Food and Agriculture Organization of the United Nations (FAO), the contribution of aquaculture to the global food security is widely demonstrated by an astounding industry growth of 7.5% per year since 1970. In 2018, aquaculture reached the all-time highest production of 114.5 million tonnes in live weight with a total farm gate sale value of USD 263.6 billion. This makes aquaculture a key player within the Blue Growth concept and a strong contributor to some of its key Sustainable Development Goals (SDG). This is particularly true in geographical areas where dependence of local economies on fishery products is high, and yet access to sustainable landings is hampered by ecological barriers. One such area is represented by the Black Sea basin. Whilst the Black Sea annual capture fishery production has varied considerably since 1990 and its current landings are significant, growing attention is currently given to boost aquaculture development along the Black Sea bordering countries, with marine aquaculture being considered as an important contributor to the total fisheries production. Nonetheless, aquaculture development in this region is not homogenous and its development has, so far, been limited by environmental, economic, social, and more generally governance issues. This paper, for the first time, attempts to provide a comprehensive fresh outlook of the aquaculture sector in the Black Sea, stressing the importance of regional cooperation as an essential pillar to support the sustainable development of the industry. The paper addresses aquaculture in the Black Sea from different perspectives: it outlines the key characteristics of the Black Sea environment; it discusses the most common farmed aquatic species and the potential for new ones; it frames the national approaches to aquaculture development, sharing information about success stories, while shedding light on the main challenges and priorities ahead. This collective endeavour will represent a helpful contribution to Black Sea riparian countries to answer the many questions they have, and expectations they hold from the aquaculture sector.
    Type of Medium: Online Resource
    ISSN: 2618-6381
    Language: English
    Publisher: Central Fisheries Research Institute (SUMAE)
    Publication Date: 2021
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  • 7
    In: Journal of Mammalogy, Oxford University Press (OUP), Vol. 95, No. 5 ( 2014-10-31), p. 1064-1076
    Type of Medium: Online Resource
    ISSN: 0022-2372 , 1545-1542
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2014
    detail.hit.zdb_id: 2066602-0
    SSG: 12
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  • 8
    In: Journal of the Science of Food and Agriculture, Wiley, Vol. 103, No. 4 ( 2023-03-15), p. 2037-2046
    Abstract: Consumer interest in safeguarding animal welfare and increased demand for fresh aquatic products support the need to understand the effects of stunning methods used in aquaculture on the biochemical process affecting fish fillet quality. The present paper aimed at comparing electrical stunning (ES) and cold shock (ICE) in Salmo carpio , an Italian endemic under‐investigated species. Rigor mortis evolution, fillet adenosine 5′‐triphosphate (ATP), shape, colour, pH and water holding capacity were assessed by integrating chemical and image analyses. RESULTS Seventy‐two fish (24 fish per treatment) were stunned by ES, ICE or anaesthesia (AN, used as control), then percussively slaughtered. ES and ICE hastened rigor mortis onset and resolution (21 and 28 h post mortem ) compared to AN. This was confirmed by the faster ATP degradation in ES and ICE. Fillet shape features varied during rigor mortis , according to the stunning method, with the perimeter showing irreversible variation in ES and ICE groups. Initial circularity was recovered only in AN, while ICE and ES fillets showed significantly different values, between 0 and 192 h. CONCLUSION ES is a promising stunning technique for S. carpio, but parameters should be optimized , because of the adverse effect on muscle activity which caused a fast pH drop, and the presence of blood spots in the fillets. Further studies are needed to understand whether fillet shape changes can interfere with filleting or fillet processing and consumer appreciation. © 2022 Society of Chemical Industry.
    Type of Medium: Online Resource
    ISSN: 0022-5142 , 1097-0010
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2001807-1
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