scholarly journals Analisis Filogenetik Ikan Tuna (Thunnus spp.) yang didaratkan di Pelabuhan Benoa, Bali

2021 ◽  
Vol 4 (2) ◽  
pp. 37
Author(s):  
Paul Helga Fernandez ◽  
IGB Sila Dharma ◽  
I Nyoman Giri Putra ◽  
Andrianus Sembiring ◽  
Astria Yusmalinda ◽  
...  
Keyword(s):  
Phylogenetic Trees ◽  
Morphological Character ◽  
Demersal Fish ◽  
Yellowfin Tuna ◽  
Bigeye Tuna ◽  
Tree Reconstruction ◽  
Albacore Tuna ◽  
A Value ◽  
Southern Bluefin Tuna ◽  
Longtail Tuna

Tuna is one of the largest fisheries commodities in Indonesia after shrimp and demersal fish. The genus Thunnus is a type of tuna that dominates the international market. The genus Thunnus consisted of seven species of tuna. In some cases, the same morphological character has caused misidentification and data collection on tuna species. Therefore, this study aimed to identify tuna species that are landed at Benoa Harbor and analyzed their phylogenetic relationships. Species identification and phylogenetic analysed in this study used the mtDNA control region locus. The results of this study indicated that there are five tuna species landed at Benoa Harbor, namely yellowfin tuna (T. albacares), longtail tuna (T. tonggol), bigeye tuna (T. obesus), southern bluefin tuna (T. maccoyii), and albacore tuna (T. alalunga). Based on phylogenetic tree reconstruction, all samples were divided into five according to the number of tuna species resulted from molecular identification. Reconstruction of phylogenetic trees is supported by genetic distance between clades has a value of 0.075 - 0.212, with the closest kinship found in yellowfin tuna (T. albacares) with bigeye tuna (T. obesus) and the farthest found in yelowfin tuna (T. albacares) with albacore tuna (T. alalunga).

scholarly journals Pelagic longline fishery for albacore tuna (Thunnus alalunga) yellowfin tuna (Thunnus albacares) and bigeye tuna (Thunnus obesus) in the high seas of eastern Pacific ocean.

2018 ◽  
Author(s):  
Bruno Thierry Nyatchouba Nsangue ◽  
Zhou Cheng ◽  
Liuxiong Xu ◽  
Richard Kindong
Keyword(s):  
Pacific Ocean ◽  
Condition Factor ◽  
Yellowfin Tuna ◽  
Eastern Pacific ◽  
Bigeye Tuna ◽  
Eastern Pacific Ocean ◽  
Albacore Tuna ◽  
Thunnus Obesus ◽  
Hook Depth ◽  
High Seas

This study highlighted the occurrence of a pelagic long line fishery targeting albacore tuna, yellowfin tuna and bigeye tuna in the high seas of eastern Pacific Ocean. Species selectivity of the fishing method was assessed. Hook depth, statistics of at-vessel survival rate grouped by hooks number, length frequency, weight frequency, length weight relationship, relative condition factor and Fulton’s condition factor were estimated for the target species. This fishing method proved highly selective for albacore tuna, where catches accounted for about 85% of catches, while other resources such as yellowfin tuna amounted to 4.8% and big eye tuna accounted for 9.70%. The results showed that, fish size increased with deeper depths. Hook No. 8 located at a critical depth indicated that fork lengths of tuna registered above this depth were significantly smaller than that those captured below it. Logistic regression model suggested a significant effect of hook depth on the catch efficiency. The highest density of catch efficiency was located at the depth of 167.57 m. An alternative strategy showed that hooks deployed at the depths ranging from 124 to 211 m will result in a more considerable fishing efficiency. The analyses also showed that the relative condition factors (Krel) of the three fish species were greater than (1) implying that they were in good physiological condition at the time of capture.

scholarly journals Fishing ground and tuna productivity by tuna longline based on Benoa Bay, Bali, Indonesia

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Mohammad Imron ◽  
MUHAMMAD IRSYAD TAWAQAL ◽  
ROZA YUSFIANDAYANI
Keyword(s):  
Bluefin Tuna ◽  
Yellowfin Tuna ◽  
Fishing Ground ◽  
Bigeye Tuna ◽  
Productivity Analysis ◽  
Fishing Activity ◽  
Arafura Sea ◽  
Southern Bluefin Tuna ◽  
Timor Sea ◽  
Tuna Longline

Abstract. Imron M, Tawaqal MI, Yusfiandayani R. 2021. Fishing ground and tuna productivity by tuna longline based on Benoa Bay, Bali, Indonesia. Biodiversitas 22: 961-968. The success of a longline fishing operation depends on several things such as the skill of the crew, bait used, fishing season, fishing operation, the total of fish caught, the price of the fish, productivity, and fishing grounds. Information about productivity and fishing ground becomes important to increase effectiveness and optimal profit. The methodology is carried out by conducting a survey to collect data to be processed and analyzed using productivity analysis based on Landing per Unit Effort (LPUE) and fishing activity analysis from the Vessel Monitoring System (VMS) to determine the Fishing Ground. We calculate tuna productivity from catch production (landing) per effort, meanwhile fishing ground use VMS data. Production tuna was landed at Benoa Bali from 2016-2018 fluctuated. In 2016 production of tuna albacore took a portion of 34.60%, yellowfin tuna 43.56%, bigeye tuna 15.44%, and southern bluefin tuna 6.26%. Production of tuna albacore took a portion of 35.61%, yellowfin tuna 42.64%, bigeye tuna 12.49%, and southern bluefin tuna 9.26% in 2017. Production albacore took a portion of 36.41%, yellowfin tuna 41.56%, bigeye tuna 11.79%, and southern bluefin tuna 10.24% in 2018. The highest productivity of albacore was in August 2018 with LPUE value 1.0099, yellowfin tuna was in July 2018 with LPUE value 1.2431, big eye tuna was in November 2018 with LPUE value 0.5538, and bluefin was at December 2017 with LPUE value 0.3864. The result of VMS data processing showed that tuna longline vessel based at Benoa has several locations of fishing grounds based on fishing activity for example Hindia High Seas, WPP NRI 714 (Telo gulf and Banda Sea), WPP NRI 718 (Aru Sea, Arafura Sea, and Timor Sea), ZEEI WPP NRI 718.

scholarly journals Pelagic longline fishery for albacore tuna (Thunnus alalunga) yellowfin tuna (Thunnus albacares) and bigeye tuna (Thunnus obesus) in the high seas of eastern Pacific ocean.

2018 ◽  
Author(s):  
Bruno Thierry Nyatchouba Nsangue ◽  
Zhou Cheng ◽  
Liuxiong Xu ◽  
Richard Kindong
Keyword(s):  
Pacific Ocean ◽  
Condition Factor ◽  
Yellowfin Tuna ◽  
Eastern Pacific ◽  
Bigeye Tuna ◽  
Eastern Pacific Ocean ◽  
Albacore Tuna ◽  
Thunnus Obesus ◽  
Hook Depth ◽  
High Seas

This study highlighted the occurrence of a pelagic long line fishery targeting albacore tuna, yellowfin tuna and bigeye tuna in the high seas of eastern Pacific Ocean. Species selectivity of the fishing method was assessed. Hook depth, statistics of at-vessel survival rate grouped by hooks number, length frequency, weight frequency, length weight relationship, relative condition factor and Fulton’s condition factor were estimated for the target species. This fishing method proved highly selective for albacore tuna, where catches accounted for about 85% of catches, while other resources such as yellowfin tuna amounted to 4.8% and big eye tuna accounted for 9.70%. The results showed that, fish size increased with deeper depths. Hook No. 8 located at a critical depth indicated that fork lengths of tuna registered above this depth were significantly smaller than that those captured below it. Logistic regression model suggested a significant effect of hook depth on the catch efficiency. The highest density of catch efficiency was located at the depth of 167.57 m. An alternative strategy showed that hooks deployed at the depths ranging from 124 to 211 m will result in a more considerable fishing efficiency. The analyses also showed that the relative condition factors (Krel) of the three fish species were greater than (1) implying that they were in good physiological condition at the time of capture.

scholarly journals TEKNOLOGI PENANGANAN DAN PENYIMPANAN IKAN TUNA SEGAR DI ATAS KAPAL

2008 ◽  
Vol 3 (2) ◽  
pp. 41
Author(s):  
Hari Eko Irianto
Keyword(s):  
Bluefin Tuna ◽  
Yellowfin Tuna ◽  
Bigeye Tuna ◽  
Southern Bluefin Tuna

Indonesia merupakan negara produsen ikan tuna terbesar kelima di dunia. Terdapat  beberapa jenis ikan tuna  yang banyak diperdagangkan di pasar internasional, terutama bluefin tuna, southern bluefin tuna, bigeye tuna, yellowfin tuna, albacore, dan skipjack.  Ikan tuna termasuk komoditas yang cepat mengalami proses kemunduran mutu bila tidak disimpan pada suhu rendah dan juga dapat menghasilkan senyawa histamin yang berbahaya bagi manusia yang mengkonsumsinya. Ikan tuna segar bermutu baik dapat diperoleh dengan menerapkan teknik penanganan dan penyimpanan yang benar segera setelah ikan ditangkap. Cara penanganan ikan tuna setelah ditangkap yang sering diterapkan adalah penggancoan, pendaratan ke atas kapal, pematian, perusakan saluran saraf dengan alat Taniguchi, pembuangan darah, pembuangan insang dan isi perut,  pembersihan, serta penyimpanan dingin. Mutu ikan tuna dipengaruhi oleh faktor-faktor biologis dan non-biologis. Faktor-faktor biologis yang berpengaruh meliputi spesies, umur, ukuran, tingkat kematangan seksual, dan adanya parasit atau penyakit, sedangkan faktor-faktor non-biologis adalah metode penangkapan, teknik penanganan, teknik pendinginan, dan teknik penyimpanan.

scholarly journals The Impact of Regulating Bluefin Tuna Exports on the Japanese Tuna Market

2015 ◽  
Vol 4 (4) ◽  
pp. 103
Author(s):  
Takashi Ishida
Keyword(s):  
Bluefin Tuna ◽  
Yellowfin Tuna ◽  
Bigeye Tuna ◽  
Vector Autoregressive ◽  
Market Linkages ◽  
Albacore Tuna ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Price Relationship ◽  
The Impact

<p class="firstIndent">In order to understand the impact of regulating bluefin tuna exports on the Japanese tuna market, we have to clarify the inter-species price relationship. This article investigates the market linkages among four tuna species, bluefin tuna, albacore tuna, bigeye tuna and yellowfin tuna, in Japan. Vector autoregressive distributed lag (VARDL) model is used to simulate the impact of a decrease in the bluefin tuna supply on the price of bluefin tuna and other species. The result is that regulating bluefin tuna exports raise only the price of bluefin tuna but have little impact on the prices of other tuna species.</p>

QUANTIFICATION OF TUNA FISH TARGET STRENGTH USING QUANTITATIVE ECHO SOUNDER

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Henry M. Manik
Keyword(s):  
Wave Reflection ◽  
Fork Length ◽  
Research Programme ◽  
Yellowfin Tuna ◽  
Target Strength ◽  
Bigeye Tuna ◽  
Tuna Fish ◽  
Thunnus Obesus ◽  
The Relationship ◽  
Echo Sounder

A preliminary research programme was carried out in order to study the acoustic wave reflection or target strength (TS) of tuna fish using a quantitative echo sounder (QES). The relationships between TS to fork length (FL) and swimbladder volume, for bigeye tuna (Thunnus obesus) and yellowfin tuna (T. albacares) are investigated. The TS of bigeye tuna was about 3 dB higher than yellowfin tuna when comparing species at the same size. The result can be correlated to the swimbladder volume differencebetween species. The relationship between TS and swimbladder volume was quantified for both species.Keywords: tuna fish, target strength, quantitative echo sounder

Exploitation and movements of yellowfin tuna (Thunnus albacares) and bigeye tuna (T. obesus) tagged in the north-western Coral Sea

1998 ◽  
Vol 49 (6) ◽  
pp. 475 ◽  
Author(s):  
John Hampton ◽  
John Gunn
Keyword(s):  
Seasonal Pattern ◽  
Yellowfin Tuna ◽  
Thunnus Albacares ◽  
Bigeye Tuna ◽  
Catch Per Unit Effort ◽  
The North ◽  
Coral Sea ◽  
Release Area ◽  
Seasonal Signal ◽  
North Western

Yellowfin tuna (Thunnus albacares) and bigeye tuna (T. obesus) were tagged and released in the north-western Coral Sea off northern Queensland in 1991 and 1992. Over the next five years, recaptures were reported by Australian longline vessels based in Cairns and fishing in the release area, and by industrial tuna fleets fishing in the adjacent western Pacific region, thus demonstrating clear links between the tuna stocks in these areas. Some southerly movements of yellowfin, in particular, further suggested links with stocks supporting the longline fishery in the south-eastern Australian Fishing Zone. Bigeye tuna tag returns and catch per unit effort by Cairns-based longliners showed a strong seasonal signal, peaking in mid year. Yellowfin tag-return data displayed a similar, but weaker, seasonal pattern. The data were analysed by use of tag-attrition models with seasonally variable catchability and with two assumptions regarding changes in targeting of the two species by longliners during the study. Under both assumptions, the local exploitation rates for yellowfin are low: about 0.07 in 1996. For bigeye, the local exploitation rate in 1996 may have been as high as 0.30, warranting a cautious approach to further fishery expansion in this area.

scholarly journals KOMPOSISI JENIS DAN DISTRIBUSI UKURAN IKANPELAGIS BESAR HASILTANGKAPANPANCINGULURDI SENDANGBIRU, JAWATIMUR

2017 ◽  
Vol 3 (6) ◽  
pp. 377
Author(s):  
Ria Faizah ◽  
Aisayah Aisayah
Keyword(s):  
Species Composition ◽  
Size Distribution ◽  
Landing Site ◽  
Pelagic Fish ◽  
Yellowfin Tuna ◽  
Thunnus Albacares ◽  
Bigeye Tuna ◽  
Katsuwonus Pelamis ◽  
Individual Weight ◽  
Thunnus Obesus

Sendang Biru merupakan salah satu tempat pendaratan ikan pelagis besar di Jawa Timur. Penelitian tentang komposisi jenis dan ukuran ikan pelagis besar hasil tangkapan pancing ulur yang didaratkan di PPI Pondok Dadap, Sendang Biru, Jawa Timur, dilakukan pada bulanApril dan Oktober 2010. Hasil penelitian menunjukkan hasil tangkapan pancing ulur didominasi oleh jenis tuna (Thunnus albacares dan Thunnus obesus) 45%, cakalang (Katsuwonus pelamis) sebesar 38 %, dan lainnya (marlin, lemadang, lauro) sebesar 1,7 %. Ikan tuna yang didaratkan terdiri dari jenis yellowfin tuna (Thunnus albacares) dan bigeye tuna (T. obesus) dengan ukuran panjang cagakmasing –masing berkisar antara 40 - 170 cmFL dan 40 - 140 cmFL. Berat individumasing-masing berkisar antara 0.1 - 71 kg dan 0.5 - 43 kg. Sendang Biru is one of big pelagic’s landing site in East Java. Tuna on this research are caught by handline that landing in PPI Pondok Dadap, Sendang Biru, East Java. Research on the species composition and size distribution of big pelagic fish caught by handline were carried out during April and October 2010 at Sendang Biru, East Java. The result showed that Thunnus sp. are the most landed (45%) followed by Katsuwonus pelamis (38 %) and others (Xiphias gladius, Coriphaena sp., Elagatis bipinnulatus) of 1.7 %. The dominant fork lengthof Thunnus albacares and Thunnus obesus ranged from about 40 - 170 cm and 40 – 140 cm. Individual weight ranged between 0.1 - 71 kg and 0.5 - 43 kg respectivelly.

scholarly journals STOMACH CONTENT OF THREE TUNA SPECIES IN THE EASTERN INDIAN OCEAN

2012 ◽  
Vol 18 (2) ◽  
pp. 57 ◽  
Author(s):  
Bram Setyadji ◽  
Andi Bahtiar ◽  
Dian Novianto
Keyword(s):  
Indian Ocean ◽  
Stomach Content ◽  
Equatorial Indian Ocean ◽  
Yellowfin Tuna ◽  
Feeding Habit ◽  
Andaman Sea ◽  
Eastern Indian Ocean ◽  
Skipjack Tuna ◽  
Bigeye Tuna ◽  
Fish Prey

Feeding habit of tuna in Indian Ocean has been described around Sri Lanka, Indian Waters, Andaman Sea, western Indian Ocean (<em>Seychelles Islands</em>), western equatorial Indian Ocean whereas the tunas feeding habit study in Eastern Indian Oceanis merely in existence. The purpose of this study is to investigate the stomach content of three tuna species (bigeye tuna, yellowfin tuna, and skipjack tuna), apex predator in the southern part of Eastern Indian Ocean. The study was conducted in March – April, 2010 on the basis of catches of commercial tuna longline vessel based in Port of Benoa. A total of 53 individual fishes were collected, consisting of bigeye tuna (<em>Thunnus obesus</em>), yellowfin tuna (<em>Thunnus albacores</em>), and skipjack tuna (<em>Katsuwonus</em> <em>pelamis</em>). Stomach specimens were collected and analyzed.Analysis was conducted on the basis of index of preponderance method. The diet of the three tuna species showed fishes as the main diet (56–82%), followed by cephalopods (squids) as the complementary diet (0–8%), and crustaceans (shrimps) as the additional diet (2–4%). Fish prey composed of 6 families i.e. Alepisauridae, Bramidae, Carangidae, Clupeidae, Engraulidae, and Scombridae.

scholarly journals Population Genetics and Phylogeography of Bigeye Tuna in Moluccas Seas, Indonesia

2019 ◽  
Vol 23 (4) ◽  
pp. 145
Author(s):  
Nebuchadnezzar Akbar ◽  
M. Irfan ◽  
Muhammad Aris
Keyword(s):  
Genetic Diversity ◽  
Pacific Ocean ◽  
Genetic Distance ◽  
Population Genetic ◽  
Phylogenetic Trees ◽  
Fish Population ◽  
Population Based ◽  
Bigeye Tuna ◽  
The North ◽  
Thunnus Obesus

The bigeye tuna (Thunnus obesus) is a migratory fish which can be found in the Atlantic, Indian and Pacific oceans. This fish has a commercial value and has been exploited worldwide including in Indonesia. The exploitation might affect the genetic diversity and population structure. The fact that the population stock resource is abundant and following fishing activities are increasing, study on population genetic and phylogeography canbe used as information to determine the status of the fish population based on genetic data. The study was conducted to investigate population genetic, and phylogeography of bigeye tuna in the North Moluccas and South Mollucas Seas, Indonesia. A total of 60 tissue bigeye tuna samples were collected from two study sites. The samples were amplified using mitochondrial DNA control region. Within population genetic diversity was revealed of 0.985 and 1.00 in North Moluccas and in south Moluccas, respectively, while between populations was 0.989. The genetic distance within population of North Moluccas (0.029) and South Mollucas (0.24) was very low, and all population was 0.027. The genetic distance between population of North Mollucas and South Mollucas was 0.025, South Mollucas and all population was 0.023, and all population with Norht Mollucas was 0.027. The genetic distance of North Mollucas and Pacific Ocean was 0.029, South Mollucas and Pacific Ocean was 0.023, North Mollucas, South Mollucas and Indian Ocean was 0.32. The Fst value between populations (0.990) showed that the two populations were not genetically different. A similar result showed from the phylogenetic trees analysis which individual of bigeye tuna was randomly clustred between North Moluccas and South Mollucas population, indicating that they were genetically close and from the same population. The population bigeye tuna from the North Mollucas and the South Mollucas exhibits no apparent phylogeographic distribution.

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