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447 Fish, crustaceans, molluscs, etc Capture production by species items Atlantic, Southeast C-47 Poissons, crustacés, mollusques, etc Captures par catégories d'espèces Atlantique, sud-est (a) Peces, crustáceos, moluscos, etc Capturas por categorías de especies Atlántico, sudoriental English name Scientific name Species group Nom anglais Nom scientifique Groupe d'espèces 2000 2001 2002 2003 2004 2005 2006 Nombre inglés Nombre científico Grupo de especies t t t t t t t West coast sole Austroglossus microlepis 31 571 589 644 746 8 801 8 186 7 619 Mud sole Austroglossus pectoralis 31 800 844 702 754 612 485 428 Southeast Atlantic soles nei Austroglossus spp 31 965 650 492 375 493 415 432 Tonguefishes Cynoglossidae 31 - 10 17 28 42 34 22 Flatfishes nei Pleuronectiformes 31 592 1 928 3 465 3 069 2 636 2 000 1 337 Blue antimora Antimora rostrata 32 - - - - - - 9 Benguela hake Merluccius polli 32 - - 1 - - - - Shallow-water Cape hake Merluccius capensis 32 658 1 863 3 225 1 457 1 799 1 800 1 800 Cape hakes Merluccius capensis,M.paradox. 32 309 337 323 073 306 387 336 887 330 722 302 662 269 830 Grenadiers nei Macrourus spp 32 - - - - - - 15 Sea catfishes nei Ariidae 33 459 2 435 3 616 3 198 3 624 3 560 3 490 Mullets nei Mugilidae 33 561 125 122 159 127 95 104 Dusky grouper Epinephelus marginatus 33 - - - 41 - 29 - White grouper Epinephelus aeneus 33 - - - 25 - 25 - Groupers nei Epinephelus spp 33 17 18 14 7 20 21 11 Groupers, seabasses nei Serranidae 33 2 341 4 229 5 781 4 517 5 426 4 807 4 131 Bigeyes nei Priacanthus spp 33 2 1 2 1 1 1 2 Snappers, jobfishes nei Lutjanidae 33 - 1 1 1 1 1 - Bigeye grunt Brachydeuterus auritus 33 191 1 181 4 639 4 120 3 484 3 300 3 075 Grunts, sweetlips nei Haemulidae (=Pomadasyidae) 33 817 1 715 3 514 1 905 2 142 1 704 1 143 Canary drum (=Baardman) Umbrina canariensis 33 ... 2 207 13 2 617 1 366 2 904 4 505 Southern meagre(=Mulloway) Argyrosomus hololepidotus 33 1 009 3 734 611 4 349 5 369 5 256 5 351 Geelbek croaker Atractoscion aequidens 33 380 379 294 458 658 655 403 Boe drum Pteroscion peli 33 - - - - - 45 - West African croakers nei Pseudotolithus spp 33 8 005 8 744 25 971 18 932 18 289 19 000 19 280 Croakers, drums nei Sciaenidae 33 2 295 2 635 3 566 5 201 1 931 1 907 3 969 Emperors(=Scavengers) nei Lethrinidae 33 - 3 3 1 3 3 3 White seabream Diplodus sargus 33 ... 20 ... 1 2 1 - Sargo breams nei Diplodus spp 33 - 4 - - 2 - - Large-eye dentex Dentex macrophthalmus 33 2 536 1 044 237 565 79 61 109 Dentex nei Dentex spp 33 13 765 16 080 8 948 18 186 17 879 20 000 22 660 Black seabream Spondyliosoma cantharus 33 212 494 13 1 1 065 300 ... Carpenter seabream Argyrozona argyrozona 33 500 287 249 253 272 276 204 Santer seabream Cheimerius nufar 33 25 25 15 17 29 28 21 Pargo breams nei Pagrus spp 33 1 875 4 606 5 773 4 011 3 616 4 347 4 616 Red steenbras Petrus rupestris 33 10 7 6 3 3 3 4 Panga seabream Pterogymnus laniarius 33 9 503 6 956 3 798 3 901 3 963 3 048 2 762 White stumpnose Rhabdosargus globiceps 33 300 169 107 158 113 117 109 Daggerhead breams nei Chrysoblephus spp 33 70 78 57 43 110 116 114 Sand steenbras Lithognathus mormyrus 33 999 1 735 2 802 3 217 3 334 3 350 3 353 Steenbrasses nei Lithognathus spp 33 56 20 4 3 1 0 4 Salema Sarpa salpa 33 ... 1 ... ... ... ... ... Porgies, seabreams nei Sparidae 33 979 159 270 148 295 305 112 Picarels nei Spicara spp 33 13 744 674 454 ... ... 484 Threadfins, tasselfishes nei Polynemidae 33 872 1 834 2 664 3 082 3 297 3 600 3 945 Gobies nei Gobiidae 33 3 - - - - 2 - Hector's lanternfish Lampanyctodes hectoris 34 ... ... ... ... 0 0 0 Conger eels, etc. nei Congridae 34 3 6 2 1 512 3 2 1 468 Kingklip Genypterus capensis 34 7 922 11 460 13 418 11 372 12 310 9 548 7 884 Alfonsinos nei Beryx spp 34 302 318 236 229 324 515 787 Orange roughy Hoplostethus atlanticus 34 1 542 857 2 169 2 109 1 845 380 568 John dory Zeus faber 34 2 586 2 618 3 582 4 052 4 232 3 387 2 637 Boarfishes nei Caproidae 34 - - - 11 73 - 15 Oreo dories nei Oreosomatidae 34 10 54 335 331 497 83 19 Wreckfish Polyprion americanus 34 8 - 2 6 1 6 - Cape bonnetmouth Emmelichthys nitidus 34 50 37 - 102 156 266 - Bonnetmouths, rubyfishes nei Emmelichthyidae 34 - 6 - - - - - Patagonian toothfish Dissostichus eleginoides 34 320 5 906 2 048 402 83 162 Black cardinal fish Epigonus telescopus 34 ... ... ... 103 30 28 16 Snoek Thyrsites atun 34 11 166 12 027 12 969 11 559 17 439 16 024 8 468 Oilfish Ruvettus pretiosus 34 - - - 21 28 27 169 Largehead hairtail Trichiurus lepturus 34 1 895 1 871 208 658 399 994 742 Silver scabbardfish Lepidopus caudatus 34 2 923 2 316 11 102 11 373 6 463 8 732 8 466 Violet warehou Schedophilus velaini 34 - - - 3 1 30 20 Bluenose warehou Hyperoglyphe antarctica 34 - - - - - 56 - Blackbelly rosefish Helicolenus dactylopterus 34 1 389 1 673 821 1 822 1 918 1 763 1 734 Scorpionfishes nei Scorpaenidae 34 2 - 6 - 0 4 0 Cape gurnard Chelidonichthys capensis 34 686 609 696 669 585 721 736 Gurnards, searobins nei Triglidae 34 - - - - 1 - - Devil anglerfish Lophius vomerinus 34 21 402 21 996 23 721 19 346 17 553 18 887 17 380 Sardinellas nei Sardinella spp 35 113 856 58 339 30 026 47 323 58 569 50 000 40 406 Southern African pilchard Sardinops ocellatus 35 161 448 200 100 264 886 312 249 402 432 274 043 219 642 Whitehead's round herring Etrumeus whiteheadi 35 38 877 56 762 64 450 44 019 51 925 29 438 47 586 Southern African anchovy Engraulis capensis 35 267 986 289 323 254 643 260 525 192 305 283 446 135 463 Atlantic bonito Sarda sarda 36 159 1 193 128 778 ... 138 900 Wahoo Acanthocybium solandri 36 15 22 25 18 22 28 64 Frigate and bullet tunas Auxis thazard, A. rochei 36 313 231 122 41 ... ... ... Little tunny(=Atl.black skipj) Euthynnus alletteratus 36 132 231 155 1 813 ... 2 1 654 Skipjack tuna Katsuwonus pelamis 36 142 1 012 152 208 338 343 93 Atlantic bluefin tuna Thunnus thynnus 36 - - 2 - - - 2 Albacore Thunnus alalunga 36 14 510 15 458 14 504 14 723 11 767 9 033 15 731 Southern bluefin tuna Thunnus maccoyii 36 2 333 2 517 1 358 2 284 951 1 919 1 166 Yellowfin tuna Thunnus albacares 36 4 530 2 955 2 350 3 003 4 160 3 979 3 794 Bigeye tuna Thunnus obesus 36 24 307 19 111 19 805 17 717 15 204 9 431 9 476 Atlantic sailfish Istiophorus albicans 36 91 89 179 173 96 176 402 448 Fish, crustaceans, molluscs, etc Capture production by species items Atlantic, Southeast C-47 Poissons, crustacés, mollusques, etc Captures par catégories d'espèces Atlantique, sud-est (a) Peces, crustáceos, moluscos, etc Capturas por categorías de especies Atlántico, sudoriental English name Scientific name Species group Nom anglais Nom scientifique Groupe d'espèces 2000 2001 2002 2003 2004 2005 2006 Nombre inglés Nombre científico Grupo de especies t t t t t t t Blue marlin Makaira nigricans 36 372 501 446 333 289 155 262 Black marlin Makaira indica 36 62 618 318 4 47 15 7 Atlantic white marlin Tetrapturus albidus 36 307 58 27 43 79 47 14 Longbill spearfish Tetrapturus pfluegeri 36 11 7 5 - - 3 5 Marlins,sailfishes,etc. nei Istiophoridae 36 5 33 22 45 133 49 78 Swordfish Xiphias gladius 36 4 685 4 947 4 730 3 835 3 868 4 540 5 127 Tuna-like fishes nei Scombroidei 36 270 107 661 701 880 4 162 275 Bluefish Pomatomus saltatrix 37 20 170 2 5 15 14 732 Cape horse mackerel Trachurus capensis 37 423 607 354 046 386 361 404 930 352 965 360 389 334 897 Cunene horse mackerel Trachurus trecae 37 69 630 46 832 45 226 30 139 34 863 34 200 33 563 Jack and horse mackerels nei Trachurus spp 37 - - - 1 941 - - - Crevalle jack Caranx hippos 37 1 835 674 271 992 943 800 643 Jacks, crevalles nei Caranx spp 37 - 1 - 1 - - - Pompano Trachinotus ovatus 37 ... ... ... ... 484 ... ... Yellowtail amberjack Seriola lalandi 37 300 315 216 288 878 876 310 Leerfish Lichia amia 37 - 1 21 5 - - - Carangids nei Carangidae 37 39 806 584 138 1 1 1 Atlantic pomfret Brama brama 37 843 1 121 890 1 019 1 563 1 788 1 735 Common dolphinfish Coryphaena hippurus 37 1 1 2 4 1 2 5 Chub mackerel Scomber japonicus 37 5 427 10 079 6 936 16 980 8 474 11 619 10 290 Blue butterfish Stromateus fiatola 37 28 - 83 27 2 158 230 Barracudas nei Sphyraena spp 37 - 1 3 - - - - Ocean sunfish Mola mola 37 ... 2 1 3 20 6 40 Bluntnose sixgill shark Hexanchus griseus 38 - - - - - 1 - Shortfin mako Isurus oxyrinchus 38 614 465 2 067 3 011 2 394 1 915 2 165 Porbeagle Lamna nasus 38 - - - - 85 6 1 Catsharks, etc.
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    Oceana Sustainability Report 2019 Status and Management of Horse mackerel in South Africa and Namibia, 2019 Capricorn Marine Environmental (Pty) Ltd David Japp, Daniel Droste and Zonke Gumede South Africa Biology and Stock Dynamics Horse mackerel (Trachurus capensis), better known as ‘maasbanker’ in the Western Cape, are similar to other Trachurus species caught globally in many other parts of the world. They are also classified as carangids which typically are game fish and fast swimmers (such as the kingfish commonly caught in the warmer waters of the South African east coast). Maasbanker, however, differ somewhat in that they are primarily filter feeders, although they do have a fairly broad diet that includes plankton and small swimming crustaceans (such as krill) and small fish and squid. What makes them a good commercial species is their shoaling behaviour, with large aggregations occurring in areas where plankton is abundant. Such is the case with the South African fishery, particularly on the east coast around the Agulhas Bank where adult maasbanker shoal and are targeted by the mid-water trawl fishery. Maasbanker are difficult to catch, as they are strong swimmers and migrate up and down in the water column and occur from the shallowest waters out to the deep waters of the continental shelf. In South Africa, the fisheries for massbanker can be broadly separated between three fishery sectors – a fishery using midwater trawls, a second using bottom trawls (typically for hake) and a third fishery targeting juvenile maasbanker using purse seine gear such as that used for sardine and anchovy. These variations, combined with the behaviour of maasbanker, require specific management interventions to ensure that the fishery remains sustainable into the future.
  • Growth, Physiological, and Molecular Responses of Golden Pompano Trachinotus Ovatus (Linnaeus, 1758) Reared at Different Salinities

    Growth, Physiological, and Molecular Responses of Golden Pompano Trachinotus Ovatus (Linnaeus, 1758) Reared at Different Salinities

    Fish Physiol Biochem https://doi.org/10.1007/s10695-019-00684-9 Growth, physiological, and molecular responses of golden pompano Trachinotus ovatus (Linnaeus, 1758) reared at different salinities Bo Liu & Hua-Yang Guo & Ke-Cheng Zhu & Liang Guo & Bao-Suo Liu & Nan Zhang & Jing-Wen Yang & Shi-Gui Jiang & Dian-Chang Zhang Received: 18 November 2018 /Accepted: 17 July 2019 # Springer Nature B.V. 2019 Abstract Golden pompano (Trachinotus ovatus)isa suggested a lower energy expenditure on osmoregula- commercially important marine fish and is widely cul- tion at this level of salinity. The results of this study tured in the coastal area of South China. Salinity is one showed that the alanine aminotransferase, aspartate ami- of the most important environmental factors influencing notransferase, and cortisol of juveniles at 5‰ were the growth and survival of fish. The aims of this study higher than those of other salinity groups. Our results are to investigate the growth, physiological, and molec- showed that glucose-6-phosphate dehydrogenase signif- ular responses of juvenile golden pompano reared at icantly increased at 5‰ and 35‰ salinity. Our study different salinities. Juveniles reared at 15 and 25‰ showed that osmolality had significant differences in salinity grew significantly faster than those reared at each salinity group. GH, GHR1,andGHR2 had a wide the other salinities. According to the final body weights, range of tissue expression including the liver, intestine, weight gain rate, and feed conversion ratio, the suitable kidneys, muscle, gills and brain. The expression levels culture salinity range was 15–25‰ salinity. The levels of GH, GHR1 and GHR2 in the intestine, kidneys, and of branchial NKA activity showed a typical “U-shaped” muscle at 15‰ salinity were significantly higher than pattern with the lowest level at 15‰ salinity, which those in other three salinity groups.