KOMPOSISI HASIL TANGKAPAN IKAN PADA KM PUSPA SARI 03 DI PERAIRAN SUMATERA BARAT

Pelabuhan Perikanan Samudera Bungus memiliki potensi perikanan yang melimpah. Produksi hasil perikanannya semakin meningkat setiap tahunnya. Posisi Pelabuhan Perikanan Samudera Bungus juga sangat dekat dengan WPP 572. Alat tangkap yang banyak digunakan di Pelabuhan Perikanan Bungus adalah Bagan Berahu. Penelitian ini dilakukan dengan tujuan untuk mengetahui komposisi hasil tangkapan bagan perahu pada KM PUSPA SARI 03 di Perairan Sumatera Barat. Penelitian ini dilaksanakan selama 134 hari yaitu pada tanggal 11 Januari 2021 sampai dengan 25 Mei 2021 dengan melakukan operasi penangkapan ikan di perairan Sumatera Barat pada KM PUSPA SARI 03 yang berpengkalan di Pelabuhan Perikanan Samudra Bungus, Kota Padang, Sumatera Barat. Teknik pengambilan data yang digunakan yaitu observasi/pengamatan langsung di lapangan. Hasil penelitian menunjukan bahwa terdapat 3 jenis ikan hasil tangkapan utama kapal bagan perahu KM. Puspa Sari 03 yaitu: Tongkol (Euthynnus affinis), Tuna sirip Kuning (Thunnus albacares), dan Layang Deles (Decapterus macrosoma). Total hasil tangkapan sebanyak 62.674 kg, dengan komposisi hasil tangkapan yaitu ikan tongkol sebesar 49 % atau (30.840 kg) kemudian ikan layang deles sebesar 35 % atau (21.690 kg) dan ikan tuna sirip kuning sebesar 16 % atau (10.144 kg). Data tersebut di dapat selama 14 trip penangkapan dengan jumlah setting 96 kali.

Label-free Quantitative Proteomics Combined With Transcriptomics Revealed the Importance of Cardiac Development in Producing the High Metabolic Capacity of Yellowfin Tuna (Thunnus Albacares)

Tuna are commercially important fish throughout the world, and they are renowned for their endothermy, which allows them to maintain elevated temperatures in the oxidative locomotor muscles, viscera, brain, and eyes while occupying cold, productive, high-latitude waters. The endothermic mechanism is supported by a high heart rate and cardiac output, but the genes and proteins that participate in this cardiac function are poorly known. In this study, we combined label-free quantitative proteomics and transcriptomics to investigate the changes in the heart of yellowfin tuna (Thunnus albacares) before and after they developed endothermy. We identified 515,428 transcripts and 3355 protein groups in the hearts of two development stages of yellowfin tuna. Twenty-eight differentially expressed proteins were correlated with differentially expressed genes. The proteins that accelerate energy production were more highly expressed in the hearts of the large yellowfin tuna compared with the small specimens. Moreover, the proteins in the Z-disk, which protect against mechanical damage, were only detected in the hearts of large fish. These results indicate that as yellowfin tuna grow, the heart develops a self-protection strategy to cope with high metabolic rates and high mechanical forces. The differentially expressed proteins related to cardiac function, which are closely associated with striated muscle differentiation, glycosylation, and cardiac myocytes motility, were highly expressed in the larger (endothermic) tuna than that in the smaller (poikilothermic) tuna. Therefore, we suggest that the heart function of yellowfin tuna changes and improves during the transition from poikilothermic tuna (small size, 126 mm < fork length (FL) < 152 mm, 30 g < body weight < 46 g) to endothermic tuna (large size, 207 mm < FL < 235 mm, 170 g < body weight < 200 g). This is the first report of how gene and protein expression levels explain the strong heart function of yellowfin tuna.

Identification of yellowfin tuna (Thunnus albacares), mackerel tuna (Euthynnus affinis), and skipjack tuna (Katsuwonus pelamis) using deep learning

Yellowfin tuna (Thunnus albacares), mackerel tuna (Euthynnus affinis), and skipjack tuna (Katsuwonus pelamis) have important economic values for the capture fisheries in Indonesia. Activities of identifying these fish and other types of tuna have been done manually, which can lead to errors and ultimately affect statistics, stock estimates, or traceability. The aim of this research is to use deep learning methods in identifying three species of tuna, specifically yellowfin tuna, mackerel tuna, and skipjack tuna. YOLO’s newest model, YOLOv5, was used to identify the fish. The number of epochs that produces the optimum accuracy value for use in the YOLOv5 model is 400. The values for training loss, accuracy, precision, recall and F1-Score when the model is learning with a total of 400 epochs are 0.000253, 95%, 98.1%, 93.9%, and 96%. Based on these results, the three species of tuna can be identified with high accuracy.

A History of the Tuna-Dolphin Problem: Successes, Failures, and Lessons Learned

Multispecies aggregations of tuna, dolphins, and seabirds are prevalent and conspicuous in the vast waters of the eastern tropical Pacific and form the basis of a commercial fishery for yellowfin tuna (Thunnus albacares) through setting on schools of dolphins, which is among the largest tuna fisheries in the world. Incidental dolphin mortality associated with the development and early years of the fishery was high; by 1993 it was estimated that eastern spinner dolphins (Stenella longirostris orientalis) had been reduced to 44% and northeastern offshore spotted dolphins (S. attenuata attenuata) to 19% of pre-fishery levels. Efforts to reduce this mortality began at the inception of the fishery and comprised a diverse array of approaches: modifications to fishing methods and fishing gear (backdown, Medina panel, high-intensity floodlights, swimmers to disentangle and release dolphins); U.S. legislation (through the U.S. Marine Mammal Protection Act, MMPA, and subsequent amendments); international agreements (including the International Dolphin Conservation Program that established dolphin mortality limits, and the legally binding multilateral Agreement on the International Dolphin Conservation Program); and economic incentives [notably through establishment of the U.S. dolphin-safe label and positive certification by the Marine Stewardship Council (MSC)]. Together, these bycatch mitigation efforts have been remarkably successful; dolphin mortality due to entanglement as recorded by fisheries observers (hereafter, entanglement mortality) has been reduced by &gt; 99%. Despite this, the degree to which dolphin populations have recovered remains unclear. Multiple lines of evidence indicate that individual dolphins experience multiple sets in their lifetimes and although causality has not been established, research suggests that chase and encirclement might have impacts on dolphins in addition to entanglement mortality. These impacts potentially include increased fetal and/or calf mortality, separation of nursing females and their calves, decreased fecundity, increased predation, disruption of mating and other social systems, and ecological disruption. The strong management emphasis on monitoring entanglement mortality, and the infrastructure necessary to support this monitoring (in particular, 100% observer coverage on large purse-seiners) require funding to the extent that other activities, particularly continued surveys to monitor stock status and clarify the potential influence of other effects of the fishery on dolphin populations, are currently inadequately funded.

Evaluating the Lipid Quality of Yellowfin Tuna (Thunnus albacares) Harvested from Different Oceans by Their Fatty Acid Signatures

The aim of this study was to evaluate the influence of the fishing location on yellowfin tuna’s (YFT; Thunnus albacares) white muscle total lipid (TL) content and fatty acid profile. The comparison included 45 YFT loins, equally divided between the Atlantic, Indian and Pacific Oceans. The ocean had no significant influence on YFT TL content, total PUFA and total n-3 PUFA (p > 0.05), averaging 1.09 g/100 g of muscle, 229.2 and 192.8 mg/100 g of muscle, respectively. On the other hand, the YFT harvested on the Indian Ocean displayed significantly higher contents of both SFA and MUFA totals than the Atlantic Ocean counterparts (p < 0.05), while the YFT harvested in the Pacific Ocean presented intermediate values, not differing significantly from the other two origins. The YFT from the Indian and Pacific oceans held twice the n-6 PUFA content recorded in the Atlantic YFT (44.1 versus 21.1 mg/100 g of muscle). Considering the recommended daily intake of EPA plus DHA is 250 mg, the consumption of 100 g of YFT from the Atlantic, Indian and Pacific Oceans would provide 149.2 mg, 191.8 mg or 229.6 mg of EPA plus DHA, representing 59.7%, 76.7% or 91.8% of the recommended daily intake, respectively.

Application of Surplus Production Model to the Yellowfin Tuna Thunnus albacares in the northern and western parts of Aceh waters

Yellowfin tuna Thunnus albacares is one of pelagic fish that has high potential and economic value in Banda Aceh. Utilization of this resource in Banda Aceh is using purse seine units, with the number of purse seines continuously increasing. Therefore, management needs to be done so that optimal productivity can be maintained. This study discusses the estimation of catch and effort at maximum sustainable yield (MSY) of yellowfin tuna based on catch per unit effort (CPUE) and purse seine production in Banda Aceh during 2013-2018. Mathematical analysis was carried out using the equilibrium approach with the Schaefer model. The highest catch of yellowfin tuna reached 191 tons (July) and the average CPUE for yellowfin tuna was 0.796 tons/trip with CMSY of 2,482 tons/year and EMSY of 2,765 trips/year. From 2015 to 2018, the trend of biomass continued to decline and overfishing occurred during this period.