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Journal articles on the topic 'Thunnus alalunga'

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Published: 4 June 2021

Last updated: 9 March 2023

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1

Akbar, Nebuchadnezzar, Muhammad Aris, Muhammad Irfan, et al. "Filogenetik ikan tuna (Thunnus spp.) di Perairan Maluku Utara, Indonesia." Jurnal Iktiologi Indonesia 18, no. 1 (2018): 1. http://dx.doi.org/10.32491/jii.v18i1.370.

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The tuna fish (Thunnus spp.) is highly migratory and commercial tuna fishery. The fish tuna abudance supported ocea-nography and geography condition in North Mallucas Sea. The fishery targets catch increase on fish tuna provided a view of the need for assessment of phylogenetic tuna. The study was conducted to infer the phylogenetic in North Mollucas Sea. The research method was PCR-Sequensing. Moleculer analysis included extraction, Polymerase Chain Reaction (PCR), electrophoresis and DNA sequencing in control region mtDNA locus. Phylogenetic reconstructed with Neigbor joining with Kimura 2-parameter model using MEGA5. The result showed that four clade (bigeye, yellowfin, alalunga and skipjack). Genetic distance between bigeye with yellowfin was (0.084), bigeye with alalunga (0.163), ye-llowfin with alalunga (0.174), bigeye with skipjack (0.294), skipjack with alalunga (0.312) and yellowfin with skipjack (0.297). The overall result showed significant genetic different. That information explain about one populations species tuna. The tuna phylogeography unlimitedin geographic distributions. AbstrakIkan tuna (Thunnus spp.) adalah ikan pelagis yang memiliki kemampuan ruaya dan nilai komersial. Kondisi oseanogra-fis dan letak geografis mendukung kelimpahan stok sumber daya ikan tuna di Perairan Maluku Utara. Aktifitas penang-kapan yang meningkat memberikan pandangan perlu adanya pengkajian filogenetik ikan tuna. Penelitian ini bertujuan untuk memperoleh informasi filogenetik ikan tuna di perairan Maluku Utara. Metode yang digunakan adalah metode PCR-Sekuensing pada lokus mtDNA control region. Analisis molekuler meliputi ekstraksi, Polymerase Chain Reaction (PCR), elektroforesis dan sekuensing DNA. Rekonstruksi pohon filogenetik dengan metode Neighbor joining dengan model evolusi Kimura 2-parameter dilakukan menggunakan aplikasi MEGA5. Hasil penelitian menemukan empat clade spesies ikan tuna yang berbeda (tuna mata besar, sirip kuning, alalunga, dan cakalang). Jarak genetik tuna mata besar (Thunnus obesus) dengan sirip kuning (Thunnus albacares) adalah 0,084; tuna mata besar dengan tuna alalunga (Thunnus albacore) adalah 0,163; tuna sirip kuning dengan tuna alalunga sebesar 0,174; tuna mata besar dengan caka-lang (Katsuwonus pelamis) adalah 0,294; cakalang dengan tuna alalunga adalah 0,312; dan tuna sirip kuning dengan cakalang adalah 0,297. Semua hasil menunjukkan perbedaan genetik signifikan. Namun dapat dijelaskan bahwa spesies tuna berasal dari satu keturunan. Filogeografi tuna tidak memiliki batas distribusi yang nyata spesies.

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2

Gorni, Guilherme Rossi, Maria Lúcia Ribeiro, Roberto Goitein, and Alberto F. Amorim. "DIET COMPOSITION OF PELAGIC FISH IN THE SOUTHWESTERN ATLANTIC, BRAZIL: AN ISOTOPIC MIXTURES APPROACH." Arquivos de Ciências do Mar 50, no. 1 (2017): 132. http://dx.doi.org/10.32360/acmar.v50i1.18837.

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A proposta do presente trabalho é caracterizar, através de modelos de mistura isotópica (13C e 15N), a dieta de predadores de topo pelágicos do Oceano Atlântico Sudoeste. Para isso, amostras de tecido muscular foram coletadas dos seguintes peixes: Xiphias gladius, Thunnus obesus, Thunnus alalunga, Thunnus albacares, Prionace glauca, Alopias superciliosus e Isurus oxyrinchus. Os resultados indicam que a dieta de X. gladius é composta primariamente de cefalópodes (lulas Ommastrephidae). Um padrão similar é apresentado por T. alalunga, cuja dieta é também composta principalmente por lulas Ommastrephidae. T. albacares e T. obesus apresentam padrões similares de composição da dieta, ambas as espécies alimentam-se primariamente de pequenos peixes pelágicos. A. superciliosus compõe sua dieta principalmente de espécies de Scombridae (T. albacares e T. alalunga), diferentemente de P. glauca, cuja dieta é composta primariamente de peixes pelágicos de menor porte. O uso, de forma conjunta, das informações extraídas tanto do conteúdo estomacal dos predadores, quanto das análises isotópicas de seus tecidos, apresenta-se como um importante passo em direção ao completo entendimento da rede trófica pelágica do Oceano Atlântico Sudoeste.

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3

Yoo, Joon-Taek, Zang-Geun Kim, Jin-Koo Kim, and Jung-Hwa Ryu. "Occurrence of a Thunnus alalunga Juvenile from Korea." Korean Journal of Fisheries and Aquatic Sciences 45, no. 2 (2012): 180–82. http://dx.doi.org/10.5657/kfas.2012.0180.

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4

Saber, Sámar, Josetxu Ortiz de Urbina, María José Gómez-Vives, and David Macías. "Some aspects of the reproductive biology of albacore Thunnus alalunga from the western Mediterranean Sea." Journal of the Marine Biological Association of the United Kingdom 95, no. 8 (2015): 1705–15. http://dx.doi.org/10.1017/s002531541500020x.

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Thunnus alalunga is an important commercial tuna species widely distributed in the three major oceans and the Mediterranean Sea. The Mediterranean population is currently classified as a data-poor stock and little is known about its basic life history parameters. This study provides the first detailed information on some aspects of the reproductive biology of T. alalunga from the western Mediterranean Sea. A total of 16 104 specimens were measured between 2005 and 2012. The overall sex ratio of females to males was 1.1:1, although the ratio was female biased in fish <70 cm fork length (LF) and male biased in those >75 cm LF. Histological analysis of the ovaries (N = 587) and the monthly variation of the gonadosomatic index for both sexes showed that spawning occurred from June to August, which is a much shorter period than the 7 months reported for T. alalunga in tropical oceanic waters. Thunnus alalunga caught during June and July are capable of spawning daily. The gonadosomatic index values for T. alalunga from the western Mediterranean were up to eight times higher than those of T. alalunga from other oceans. Histological examination of the ovaries showed that the minimum length at sexual maturity of females was 56 cm LF, which is considerably smaller than those estimated for other stocks.

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5

Chen, K. S., P. R. Crone, and C. C. Hsu. "Reproductive biology of albacore Thunnus alalunga." Journal of Fish Biology 77, no. 1 (2010): 119–36. http://dx.doi.org/10.1111/j.1095-8649.2010.02662.x.

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6

Sigfusson, Halldor, Eric A. Decker, Michael Morrissey, and David J. McClements. "Ultrasonic Characterization of North Pacific Albacore (Thunnus alalunga)." Journal of Aquatic Food Product Technology 10, no. 3 (2001): 5–20. http://dx.doi.org/10.1300/j030v10n03_02.

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7

Aubourg, Santiago, Ricardo P�rez-Martin, Isabel Medina, and Jos� M. Gallardo. "Fluorescence formation during albacore (Thunnus alalunga) thermal processing." Zeitschrift f�r Lebensmittel-Untersuchung und -Forschung 195, no. 4 (1992): 332–35. http://dx.doi.org/10.1007/bf01187909.

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8

Cox, Sean P., Steven J. D. Martell, Carl J. Walters, et al. "Reconstructing ecosystem dynamics in the central Pacific Ocean, 19521998. I. Estimating population biomass and recruitment of tunas and billfishes." Canadian Journal of Fisheries and Aquatic Sciences 59, no. 11 (2002): 1724–35. http://dx.doi.org/10.1139/f02-137.

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Commercial yield of tunas in the central Pacific increased severalfold between 1952 and 1998. We developed age-structured production models that incorporate information from multiple fisheries to estimate population biomass and recruitment trends of tunas (Thunnus alalunga, Thunnus albacares, Thunnus obesus, and Katsuwonus pelamis) and billfish in the central north Pacific (0°N to 40°N and 130°E to 150°W). Our results suggest that all tuna stocks remain above 40% of 1950s levels, whereas blue marlin (Makaira nigricans) declined to 21% and swordfish (Xiphias gladius) to 56%. Estimated biomasses of juvenile bigeye (T. obsesus) and yellowfin (T. albacares) tuna increased to 112 and 129%, respectively, of 1950s levels. Juvenile albacore (T. alalunga) decreased during the 1970s and 1980s but recovered to historical highs (121%) in recent years. Skipjack (K. pelamis) remained relatively stable between 1952 and 1980, declined by 35% between 1981 and 1990, and then increased to 68% of 1950s levels. These changes generally represent decreases in top predators and increases in small tunas, which make up their prey. Application of stock assessment methods set in a food web context provides an important step toward developing a method that recognizes fishery exploitation as a component of ecosystem dynamics.

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9

PÉREZ-VILLARREAL, B., and R. POZO. "Chemical Composition and Ice Spoilage of Albacore (Thunnus alalunga)." Journal of Food Science 55, no. 3 (1990): 678–82. http://dx.doi.org/10.1111/j.1365-2621.1990.tb05205.x.

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10

Lu, Yi-Chin, Chen Tung, and Yan-Fu Kuo. "Identifying the species of harvested tuna and billfish using deep convolutional neural networks." ICES Journal of Marine Science 77, no. 4 (2019): 1318–29. http://dx.doi.org/10.1093/icesjms/fsz089.

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Abstract Fish catch species provide essential information for marine resource management. Some international organizations demand fishing vessels to report the species statistics of fish catch. Conventionally, the statistics are recorded manually by observers or fishermen. The accuracy of these statistics is, however, questionable due to the possibility of underreporting or misreporting. This paper proposes to automatically identify the species of common tuna and billfish using machine vision. The species include albacore (Thunnus alalunga), bigeye tuna (Thunnus obesus), yellowfin tuna (Thunnus albacares), blue marlin (Makaira nigricans), Indo-pacific sailfish (Istiophorus platypterus), and swordfish (Xiphias gladius). In this approach, the images of fish catch are acquired on the decks of fishing vessels. Deep convolutional neural network models are then developed to identify the species from the images. The proposed approach achieves an accuracy of at least 96.24%.

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11

Elliott, NG, and RD Ward. "Genetic relationships of eight species of Pacific tunas (Teleostei: Scombridae) inferred from allozyme analysis." Marine and Freshwater Research 46, no. 7 (1995): 1021. http://dx.doi.org/10.1071/mf9951021.

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A phylogenetic analysis of eight species of Pacific tunas was made after examining allozyme variation at 23 muscle and liver enzymes encoded by 35 loci. The eight species of tuna were: Thunnus alalunga, albacore; T. obesus, bigeye; T. thynnus orientalis, northern bluefin; T. maccoyii, southern bluefin; T. albacares, yellowfin; Auxis thazard, frigate; Euthynnus affiizii kawakawa; Katsuwonus pelamis, skipjack. All species except the northern bluefin were also examined for variation at three eye-specific loci. The average heterozygosity per locus ranged from 0.038 (frigate) to 0.070 (bigeye). Genetic relationships were examined on the basis of the 35 loci screened in all species. Genetic identities among the five Thunnus species were high, averaging 0.864 and ranging from 0.788 to 0.923. Whereas the albacore appeared to be the most divergent of the Thunnus species (mean identity to other Thunnus species of 0.825, range 0.788-0.452), there was little differentiation between yellowfin, southern bluefin and northern bluefin tunas (mean identity 0.905, range 0.892-0.923), and phylogenetic analyses failed to resolve the branch order among the Thunnus species. The non-Thunnus tunas were quite divergent both from one another and from Thunnus species (mean identity 0.358, range 0.280-0.606). Diagnostic allozyme loci were identified, allowing the discrimination of all species.

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12

Fernandez, Paul Helga, IGB Sila Dharma, I. Nyoman Giri Putra, et al. "Analisis Filogenetik Ikan Tuna (Thunnus spp.) yang didaratkan di Pelabuhan Benoa, Bali." Journal of Marine Research and Technology 4, no. 2 (2021): 37. http://dx.doi.org/10.24843/jmrt.2021.v04.i02.p06.

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    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).   

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13

Azeem, A. K., C. Dilip, SS Prasanth, V. Junise Hanan Shahima, Kumsr Sajeev, and C. Naseera. "Anti–inflammatory activity of the glandular extracts of Thunnus alalunga." Asian Pacific Journal of Tropical Medicine 3, no. 10 (2010): 794–96. http://dx.doi.org/10.1016/s1995-7645(10)60190-3.

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14

Nikolic, Natacha, Gilles Morandeau, Ludovic Hoarau, et al. "Review of albacore tuna, Thunnus alalunga, biology, fisheries and management." Reviews in Fish Biology and Fisheries 27, no. 4 (2016): 775–810. http://dx.doi.org/10.1007/s11160-016-9453-y.

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15

Pang, Jiaohui, Qiqun Cheng, Dandan Sun, Heng Zhang, and Shaofei Jin. "The complete mitochondrial genome sequence of Thunnus alalunga (Bonnaterre, 1788)." Mitochondrial DNA Part A 27, no. 6 (2015): 4189–90. http://dx.doi.org/10.3109/19401736.2014.1003907.

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16

ARREGUI, IGOR, HARITZ ARRIZABALAGA, DAVID S. KIRBY, and JUAN MANUEL MARTIN-GONZALEZ. "Stock–environment–recruitment models for North Atlantic albacore (Thunnus alalunga)." Fisheries Oceanography 15, no. 5 (2006): 402–12. http://dx.doi.org/10.1111/j.1365-2419.2005.00399.x.

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17

CHILDERS, JOHN, STEPHANIE SNYDER, and SUZANNE KOHIN. "Migration and behavior of juvenile North Pacific albacore (Thunnus alalunga)." Fisheries Oceanography 20, no. 3 (2011): 157–73. http://dx.doi.org/10.1111/j.1365-2419.2011.00575.x.

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18

Morrissey, Michael T., Rosalee Rasmussen, and Tomoko Okada. "Mercury Content in Pacific Troll-Caught Albacore Tuna (Thunnus alalunga)." Journal of Aquatic Food Product Technology 13, no. 4 (2005): 41–52. http://dx.doi.org/10.1300/j030v13n04_04.

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19

Cosgrove, Ronan, Igor Arregui, Haritz Arrizabalaga, Nicolas Goni, and John D. Neilson. "Predation of pop-up satellite archival tagged albacore (Thunnus alalunga)." Fisheries Research 162 (February 2015): 48–52. http://dx.doi.org/10.1016/j.fishres.2014.09.003.

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20

Salman, Alp, and F. Saadet Karakulak. "Cephalopods in the diet of albacore, Thunnus alalunga, from the eastern Mediterranean." Journal of the Marine Biological Association of the United Kingdom 89, no. 3 (2008): 635–40. http://dx.doi.org/10.1017/s0025315408002555.

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In this study, the stomach contents of 116 albacore specimens, Thunnus alalunga were examined from the eastern Mediterranean Sea. Fifty-five of the 116 stomachs examined were empty. The occurrence of major prey categories in stomachs were 95.1% cephalopods, 47.5% teleosts and 39.3% crustaceans with a total of 633 individuals belonging to 14 species identified. Heteroteuthis dispar from the order Sepiolida constituted 56.40% of the main cephalopod prey followed by Onychoteuthis banksii from the order Teuthida.

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21

Lavín, Alicia, Xabier Moreno-Ventas, Victoria Ortiz de Zárate, Pablo Abaunza, and José Manuel Cabanas. "Environmental variability in the North Atlantic and Iberian waters and its influence on horse mackerel (Trachurus trachurus) and albacore (Thunnus alalunga) dynamics." ICES Journal of Marine Science 64, no. 3 (2007): 425–38. http://dx.doi.org/10.1093/icesjms/fsl042.

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Abstract Lavín, A., Moreno-Ventas, X., Ortiz de Zárate, V., Abaunza, P., and Cabanas, J. M. 2007. Environmental variability in the North Atlantic and Iberian waters and its influence on horse mackerel (Trachurus trachurus) and albacore (Thunnus alalunga) dynamics. – ICES Journal of Marine Science, 64: 425–438. We explore the potential impact of climatic and oceanic variables on the dynamics of horse mackerel Trachurus trachurus (coastal distribution) and albacore Thunnus alalunga (oceanic distribution). Principal components analysis of a set of environmental parameters for the years 1966–2000 allowed us to characterize the system by three components. The first consisted mainly of sea surface temperature (SST; 18.5% of variability), the second was determined by the oceanic transport indices, potential energy anomaly (PEA), and the Gulf Stream Index (15.6%), and the third by the meridional wind component and Ekman transport (11.5%). Horse mackerel recruitment was negatively correlated mainly with the first thermal component, whereas albacore age 3 catches were negatively correlated with the second oceanic component and positively with the third wind component. Multiple linear regression confirmed that environmental conditions [SST, PEA, and the zonal (east–west) wind component] explained the availability of age 3 albacore to the surface fisheries for the period 1975–1999. In contrast, cross-validation analysis showed that environmental conditions did not consistently explain horse mackerel recruitment, probably because of the short time-series available (15 y).

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22

Graves, John E., and Andrew E. Dizon. "Mitochondrial DNA Sequence Similarity of Atlantic and Pacific Albacore Tuna (Thunnus alalunga)." Canadian Journal of Fisheries and Aquatic Sciences 46, no. 5 (1989): 870–73. http://dx.doi.org/10.1139/f89-110.

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Restriction endonuclease analysis of mitochondrial DNA purified from 11 south Atlantic (Capetown, South Africa) and 12 north Pacific (San Diego, USA) albacore tuna (Thunnus alalunga) revealed no restriction sites which could distinguish an Atlantic from a Pacific albacore. Although restriction site variation was found within the pooled sample, variants were found only in single fish. These results suggest either recent isolation of Atlantic and Pacific albacore or, more likely, at least a small amount of migration between the two ocean basins.

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23

KUNG, HSIEN-FENG, YUNG-HSIANG TSAI, SHIH-CHIH CHANG, and TANG-YAO HONG. "Biogenic Amine Content, Histamine-Forming Bacteria, and Adulteration of Pork in Tuna Sausage Products." Journal of Food Protection 75, no. 10 (2012): 1814–22. http://dx.doi.org/10.4315/0362-028x.jfp-12-061.

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Twenty-five tuna sausage products were purchased from retail markets in Taiwan. The rates of occurrence of biogenic amines, histamine-forming bacteria, and adulteration by pork and poultry were determined. The average content of various biogenic amines in all tested samples was less than 2.0 mg/100 g (&lt;0.05 to 1.85 mg/100 g). Thirteen histamine-producing bacterial strains isolated from tested samples produced 12.1 to 1,261 ppm of histamine in Trypticase soy broth supplemented with 1.0% l-histidine. Among them, Raoultella ornithinolytica (one strain), Enterobacter aerogenes (one strain), and Staphylococcus pasteuri (two strains) were identified as prolific histamine formers. PCR assay revealed that the adulteration rates were 80% (20 of 25) and 4% (1 of 25) for pork and poultry, respectively, in tuna sausage. The fish species in the tuna sausage samples were identified as Thunnus albacares for 22 samples (88%), Thunnus alalunga for 1 sample (4%), and Thunnus thynnus for 1 sample (4%), whereas the remaining sample was identified as Makaira nigricans (blue marlin).

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Aubourg, Santiago P. "Lipid changes during long-term storage of canned tuna ( Thunnus alalunga )." Zeitschrift f�r Lebensmitteluntersuchung und -Forschung A 206, no. 1 (1998): 33–37. http://dx.doi.org/10.1007/s002170050209.

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25

Pujolar, J. M., M. I. Rold�n, and C. Pla. "Genetic analysis of tuna populations, Thunnus thynnus thynnus and T . alalunga." Marine Biology 143, no. 3 (2003): 613–21. http://dx.doi.org/10.1007/s00227-003-1080-1.

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26

G da Silva, Cl udio. "A checklist of metazoan parasites from albacore Thunnus alalunga (Bonaterre, 1788)." Journal of Aquaculture & Marine Biology 7, no. 1 (2018): 52–53. http://dx.doi.org/10.15406/jamb.2018.07.00183.

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27

Pérez-Martín, R. I., J. R. Banga, M. G. Sotelo, S. P. Aubourg, and J. M. Gallardo. "Prediction of precooking times for albacore (Thunnus alalunga) by computer simulation." Journal of Food Engineering 10, no. 2 (1989): 83–95. http://dx.doi.org/10.1016/0260-8774(89)90029-0.

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28

Russo, Stefania, Marco Torri, Bernardo Patti, et al. "Environmental Conditions along Tuna Larval Dispersion: Insights on the Spawning Habitat and Impact on Their Development Stages." Water 14, no. 10 (2022): 1568. http://dx.doi.org/10.3390/w14101568.

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Estimated larval backward trajectories of three Tuna species, namely, Atlantic Bluefin Tuna (Thunnus thynnus, Linnaeus, 1758), Bullet Tuna (Auxis Rochei, Risso, 1801) and Albacore Tuna (Thunnus alalunga, Bonnaterre, 1788) in the central Mediterranean Sea, were used to characterize their spawning habitats, and to assess the impact of changes due to the major environmental parameters (i.e., sea surface temperature and chlorophyll-a concentration) on larval development during their advection by surface currents. We assumed that the environmental variability experienced by larvae along their paths may have influenced their development, also affecting their survival. Our results showed that the Tuna larvae underwent an accelerated growth in favorable environmental conditions, impacting on the notochord development. In addition, further updated information on spawning and larval retention habitats of Atlantic Bluefin Tuna, Bullet and Albacore Tunas in the central Mediterranean Sea were delivered.

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Capello, M., P. Bach, and E. Romanov. "Fine-scale catch data reveal clusters of large predators in the pelagic realm." Canadian Journal of Fisheries and Aquatic Sciences 70, no. 12 (2013): 1785–91. http://dx.doi.org/10.1139/cjfas-2013-0149.

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The management and conservation of large pelagic fish commonly rely on fisheries data and thus crucially depend on our understanding of the fish response to the fishing gear. Stock assessment of both tropical and temperate tuna strongly leans on the catch statistics derived from pelagic longline fisheries. However, the role of the spatial distribution of catches of tuna and bycatch species over the gear, which can affect the estimated tuna abundance, is still neglected. In this study, we analyzed data obtained from 147 instrumented pelagic longline sets equipped with hook timers and temperature depth recorders to characterize the distribution of hooking contacts and success at a fine temporal and spatial scale. Scientific surveys were carried out in the Central–South Pacific Ocean (French Polynesia), targeting tropical (Thunnus albacares, Thunnus obesus) and temperate (Thunnus alalunga) tuna. Data analysis based on spatial point processes and stochastic modeling demonstrate the presence of spatio-temporal clusters for both hooking contacts and hooking success. The comparative analysis of the observed spatio-temporal patterns for different oceanographic zones revealed the persistent structure of the clusters, suggesting that they are neither related to local environmental conditions nor to the spatial distribution of prey species.

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30

Montes, I., M. Iriondo, C. Manzano, et al. "Worldwide genetic structure of albacore Thunnus alalunga revealed by microsatellite DNA markers." Marine Ecology Progress Series 471 (December 19, 2012): 183–91. http://dx.doi.org/10.3354/meps09991.

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31

Chen, K. S., T. Shimose, T. Tanabe, C. Y. Chen, and C. C. Hsu. "Age and growth of albacore Thunnus alalunga in the North Pacific Ocean." Journal of Fish Biology 80, no. 6 (2012): 2328–44. http://dx.doi.org/10.1111/j.1095-8649.2012.03292.x.

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32

Bello, Giambattista. "Cephalopods in the Diet of Albacore, Thunnus alalunga, from the Adriatic Sea." Journal of Molluscan Studies 65, no. 2 (1999): 233–40. http://dx.doi.org/10.1093/mollus/65.2.233.

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33

POZO, R. G., E. S. SAITUA, I. UNCILLA, and J. A. MONTOYA. "Simultaneous Determination by HPLC of Fat-Soluble Vitamins in Albacore (Thunnus alalunga)." Journal of Food Science 55, no. 1 (1990): 77–78. http://dx.doi.org/10.1111/j.1365-2621.1990.tb06020.x.

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34

Martelo-Vidal, María J., Inmaculada C. Fernández-No, Esther Guerra-Rodríguez, and Manuel Vázquez. "Obtaining reduced-salt restructured white tuna (Thunnus alalunga) mediated by microbial transglutaminase." LWT - Food Science and Technology 65 (January 2016): 341–48. http://dx.doi.org/10.1016/j.lwt.2015.08.032.

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35

Hsu, Chien-Chung. "The length–weight relationship of Albacore, Thunnus alalunga, from the Indian Ocean." Fisheries Research 41, no. 1 (1999): 87–92. http://dx.doi.org/10.1016/s0165-7836(99)00002-8.

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36

Chien-Hsiung, Wang, and Wang Shyh-Bin. "Assessment of South Pacific albacore stock (Thunnus alalunga) by improved Schaefer model." Journal of Ocean University of China 5, no. 2 (2006): 106–14. http://dx.doi.org/10.1007/bf02919207.

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37

Laurs, R. M., R. Nishimoto, and J. A. Wetherall. "Frequency of Increment Formation on Sagittae of North Pacific Albacore (Thunnus alalunga)." Canadian Journal of Fisheries and Aquatic Sciences 42, no. 9 (1985): 1552–55. http://dx.doi.org/10.1139/f85-194.

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An examination of sagittae from 116 albacore (Thunnus alalunga) caught in the North Pacific, injected with tetracycline, tagged, released, and subsequently recaptured in sport and commercial fisheries showed that detectable increments are formed on these otoliths at an average rate of 0.954 per day. We take this as a confirmation of daily increment formation in North Pacific albacore sagittae. The slight departure of observed mean increment counts from the expected rate of one per day may be due to an occasional interruption of otolith growth, or to a systematic bias in detecting daily increments or interpreting otolith microstructure. The estimated rate of detectable increment formation applies explicitly to albacore of fork lengths between about 50 and 100 cm. If the same rate holds for fish smaller than 50 cm, as is likely, most albacore taken in sport or commercial catches can be aged accurately by applying our methods and expanding the increment count by 5%.

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38

Dhurmeea, Zahirah, Iker Zudaire, Emmanuel Chassot, et al. "Reproductive Biology of Albacore Tuna (Thunnus alalunga) in the Western Indian Ocean." PLOS ONE 11, no. 12 (2016): e0168605. http://dx.doi.org/10.1371/journal.pone.0168605.

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39

Santiago, J., and H. Arrizabalaga. "An integrated growth study for North Atlantic albacore (Thunnus alalunga Bonn. 1788)." ICES Journal of Marine Science 62, no. 4 (2005): 740–49. http://dx.doi.org/10.1016/j.icesjms.2005.01.015.

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Abstract The growth of North Atlantic albacore (Thunnus alalunga) was studied using three methods. Spines collected during a fishing season (n = 761) were read and used to estimate growth parameters. Additional growth estimates were obtained by applying MULTIFAN to quarterly size frequency distributions of total international catch for the period 1990–1999 as well as using tag-recapture data (n = 314). In the case of spines and tagging, models that allowed for individual variability in growth were evaluated. In the analysis with size frequency distributions, a model that allowed for seasonal growth and age-dependent standard deviation around the mean lengths-at-age was used. Growth estimates were consistent among the different methods, and a combined model based on ageing derived from spines and tagging data is proposed as the most comprehensive descriptor of growth of North Atlantic albacore.

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40

Wirtz, Peter, Jane Bingeman, John Bingeman, Ronald Fricke, Timothy J. Hook, and Jimmy Young. "The fishes of Ascension Island, central Atlantic Ocean – new records and an annotated checklist." Journal of the Marine Biological Association of the United Kingdom 97, no. 4 (2014): 783–98. http://dx.doi.org/10.1017/s0025315414001301.

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A checklist of the fishes of Ascension Island is presented. The speciesRhincodon typus,Alopias superciliosus,Isurus oxyrinchus,Carcharhinus obscurus,Galeocerdo cuvier,Sphyrna lewini,Hexanchus griseus,Manta birostris,Gymnothorax vicinus,Hippocampussp.,Epinephelus itajara,Cookeolus japonicus,Apogon pseudomaculatus,Phaeoptyx pigmentaria,Remora albescens,Caranx bartholomaei,Carangoides ruber,Decapterus tabl,Seriola dumerili,Thalassoma sanctaehelenae,Cryptotomussp.,Ruvettus pretiosus,Acanthocybium solandri,Auxis rochei,Auxis thazard,Euthynnus alletteratus,Katsuwonus pelamis,Thunnus alalunga,Thunnus obesus,Xiphias gladius,Istiophorus platypterus,Kajikia albida,Makaira nigricans,Tetrapturus pfluegeri,Hyperoglyphe perciformis,Schedophilussp.,Cantherhines macrocerus,Sphoeroides pachygasterandDiodon eydouxiiare recorded for the first time from Ascension Island. We have recognized two previous records as identification errors and indicate 11 other records as doubtful. Including the 40 new records, we now list 173 fish species from Ascension Island, of which 133 might be considered ‘coastal fish species’. Eleven of these (8.3%) appear to be endemic to the island and a further 16 species (12%) appear to be shared endemics with St Helena Island.

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Chen, Chiee-Young, Chien-Cheng Lai, Kuo-Shu Chen, Chien-Chung Hsu, Chin-Chang Hung, and Meng-Hsien Chen. "Total and organic mercury concentrations in the muscles of Pacific albacore (Thunnus alalunga) and bigeye tuna (Thunnus obesus)." Marine Pollution Bulletin 85, no. 2 (2014): 606–12. http://dx.doi.org/10.1016/j.marpolbul.2014.01.039.

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42

Catalán, Ignacio Alberto, Francisco Alemany, Ana Morillas, and Beatríz Morales-Nin. "Diet of larval albacore Thunnus alalunga (Bonnaterre, 1788) off Mallorca Island (NW Mediterranean)." Scientia Marina 71, no. 2 (2007): 347–54. http://dx.doi.org/10.3989/scimar.2007.71n2347.

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43

Bertrand, Arnaud, Erwan Josse, Pascal Bach, Philippe Gros, and Laurent Dagorn. "Hydrological and trophic characteristics of tuna habitat: consequences on tuna distribution and longline catchability." Canadian Journal of Fisheries and Aquatic Sciences 59, no. 6 (2002): 1002–13. http://dx.doi.org/10.1139/f02-073.

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We studied relationships between tropical tunas (albacore (Thunnus alalunga), bigeye (Thunnus obesus), and yellowfin (Thunnus albacares)) and their biotic and abiotic environments through simultaneous acoustic observations of tunas and their prey, experimental longline catch, and oceanographic data in French Polynesia. Vertical habitat limits were estimated based on temperature and dissolved oxygen at capture data. We then studied tuna-micronekton relationships to better understand how tuna occupy the pelagic space. At a regional scale, tunas were more abundant in areas rich in prey with favourable hydrological conditions. Inside such areas, at the scale of a longline set, however, the longline catches were maximal only when prey were not distributed in dense patches (except for yellowfin tuna). We interpreted this result by considering that areas with high prey abundance attract tunas, but at a small scale, if prey are patchy distributed, tunas are more inclined to feed on them rather than on longline baits. The effect of patches on yellowfin tuna catch per unit effort (CPUE) does not appear likely because this species also feeds on the mixed layer, where patch density was very low. Not only hydrological characteristics, but also prey density and prey patch characteristics, should be taken into account for interpreting longline CPUE data.

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44

VASSILOPOULOU, V., A. SIAPATIS, C. PAPACONSTANTINOU, and E. CARAGITSOU. "Annotated records of scombroid eggs and larvae distribution in northeastern Mediterranean waters." Mediterranean Marine Science 9, no. 1 (2008): 21. http://dx.doi.org/10.12681/mms.141.

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The distribution of eggs and larvae of scombroid fish in northeastern Greek waters were studied during the summer of three consecutive years(1992-1994) to determine spawning, time of spawning peaks, and the possible preferred spawning grounds. Among eggs only those of Xiphias gladius were successfully identified. Larvae of Thunnus alalunga, Euthynnus alleteratus, X. gladius and Auxis rochei were recorded, the latter species being encountered more frequently than the rest. Most scombroid larvae were collected in the Sporades Islands’ basin and their abundance, particularly that of A. rochei, was relatively increased at the end of the summer, possibly suggesting increased spawning activities during that period.

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AUBOURG, S., R. PEREZ-MARTIN, and J. M. GALLARDO. "Technical note: Stability of lipids of frozen albacore (Thunnus alalunga) during steam cooking." International Journal of Food Science & Technology 24, no. 3 (2007): 341–45. http://dx.doi.org/10.1111/j.1365-2621.1989.tb00653.x.

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46

Farley, Jessica H., Ashley J. Williams, Simon D. Hoyle, Campbell R. Davies, and Simon J. Nicol. "Reproductive Dynamics and Potential Annual Fecundity of South Pacific Albacore Tuna (Thunnus alalunga)." PLoS ONE 8, no. 4 (2013): e60577. http://dx.doi.org/10.1371/journal.pone.0060577.

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47

Carrera, Esther, Marina Terni, Ana Montero, Teresa García, Isabel González, and Rosario Martín. "ELISA-based detection of mislabeled albacore (Thunnus alalunga) fresh and frozen fish fillets." Food and Agricultural Immunology 25, no. 4 (2013): 569–77. http://dx.doi.org/10.1080/09540105.2013.858310.

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48

Goñi, Nicolas, John Logan, Haritz Arrizabalaga, Marc Jarry, and Molly Lutcavage. "Variability of albacore (Thunnus alalunga) diet in the Northeast Atlantic and Mediterranean Sea." Marine Biology 158, no. 5 (2011): 1057–73. http://dx.doi.org/10.1007/s00227-011-1630-x.

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49

Jones, J. B. "Movements of albacore tuna (Thunnus alalunga) in the South Pacific: Evidence from parasites." Marine Biology 111, no. 1 (1991): 1–9. http://dx.doi.org/10.1007/bf01986338.

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50

Perez-Mart�n, Ricardo I., Jose M. Gallardo, Julio R. Banga, and J. Casares. "Determination of thermal conductivity, specific heat and thermal diffusivity of albacore (Thunnus alalunga)." Zeitschrift f�r Lebensmittel-Untersuchung und -Forschung 189, no. 6 (1989): 525–29. http://dx.doi.org/10.1007/bf01274270.

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