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Fish, Crustaceans, Molluscs, Etc Capture Production by Species

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472 Fish, crustaceans, molluscs, etc Capture production by species items Africa - Inland waters C-01 Poissons, crustacés, mollusques, etc Captures par catégories d'espèces Afrique - Eaux continentales (a) Peces, crustáceos, moluscos, etc Capturas por categorías de especies África - Aguas continentales English name Scientific name Species group Nom anglais Nom scientifique Groupe d'espèces 2012 2013 2014 2015 2016 2017 2018 Nombre inglés Nombre científico Grupo de especies t t t t t t t Common carp Cyprinus carpio 11 2 401 3 166 3 578 3 665 3 414 3 364 821 Crucian carp Carassius carassius 11 32 442 266 257 280 325 19 Rhinofishes nei Labeo spp 11 1 192 1 159 1 469 2 482 2 156 1 717 1 037 Grass carp(=White amur) Ctenopharyngodon idellus 11 15 094 16 886 15 416 15 371 15 043 13 400 14 040 Silver cyprinid Rastrineobola argentea 11 241 122 271 350 353 242 287 217 267 364 278 113 268 145 Lake Malawi sardine Engraulicypris sardella 11 86 082 76 840 71 969 99 370 109 387 110 135 156 717 African scraping feeder Varicorhinus beso 11 96 55 96 - - ... ... Cyprinids nei Cyprinidae 11 118 333 120 478 112 462 106 126 121 654 126 746 145 178 Giant cichlid Boulengerochromis microlepis 12 107 55 36 108 38 28 58 Lake Malawi utaka Copadichromis virginalis 12 13 816 9 570 11 734 12 805 12 929 35 571 19 136 Nile tilapia Oreochromis niloticus 12 168 210 176 900 176 387 181 674 170 003 173 040 184 789 Tilapia shiranus Oreochromis shiranus 12 2 253 311 220 2 572 1 968 1 097 1 367 Tilapias nei Oreochromis (=Tilapia) spp 12 234 775 224 455 232 686 204 408 223 828 222 555 217 974 Blackchin tilapia Sarotherodon melanotheron 12 1 131 644 594 634 485 2 015 1 997 ...A Hemibates stenosoma 12 145 106 181 443 127 111 227 ...A Limnotilapia dardennii 12 63 35 24 72 37 76 62 Banded jewelfish Hemichromis fasciatus 12 7 8 12 - 5 17 21 ...A Bathybates minor 12 108 37 51 153 24 35 70 Mouthbrooding cichlids Haplochromis spp 12 15 656 17 029 13 561 12 641 43 301 41 932 33 945 Cichlids nei Cichlidae 12 21 979 24 795 27 589 26 962 27 425 35 975 31 292 Marbled lungfish Protopterus aethiopicus 13 306 539 801 993 795 810 820 African lungfishes Protopterus spp 13 19 388 14 644 15 124 18 440 19 039 16 877 15 130 Lake Tanganyika sprat Stolothrissa tanganicae 13 9 731 7 410 8 833 8 027 8 320 8 639 8 330 Lake Tanganyika sardine Limnothrissa miodon 13 13 585 16 331 17 085 18 052 18 013 18 072 16 872 Dagaas (=Kapenta) Stolothrissa, Limnothrissa spp 13 63 726 66 341 60 237 66 723 66 108 64 889 65 752 Northern pike Esox lucius 13 ... ... ... 1 1 1 ... African bonytongue Heterotis niloticus 13 18 268 22 679 23 036 21 794 26 958 31 815 29 257 Knifefishes Notopterus spp 13 488 423 490 491 473 756 776 Reticulate knifefish Papyrocranus afer 13 28 10 1 2 2 2 6 Elephantsnout fishes nei Mormyridae 13 35 009 39 325 40 680 35 483 39 306 45 180 39 676 Aba Gymnarchus niloticus 13 13 779 12 585 12 607 11 739 12 583 16 544 16 586 Characins nei Characidae 13 25 188 29 396 28 529 26 991 26 657 26 495 33 135 Citharinus nei Citharinus spp 13 14 125 12 235 13 587 11 576 13 916 14 953 12 478 Kafue pike Hepsetus odoe 13 2 567 2 996 3 047 3 067 2 913 4 551 4 746 ...A Alestes baremoze 13 350 1 518 433 259 728 693 506 ...A Alestes spp 13 188 599 693 1 357 1 099 1 068 608 ...A Brycinus leuciscus 13 41 74 74 140 311 318 193 Nurse tetra Brycinus nurse 13 51 163 71 327 67 265 69 163 55 126 54 947 59 497 Elongate tigerfish Hydrocynus forskahlii 13 169 776 328 205 406 300 128 ...A Xenocharax spilurus 13 ... ... 233 220 220 220 220 Grass-eaters nei Distichodus spp 13 9 520 8 967 8 985 9 154 9 205 8 730 8 831 Bubu Auchenoglanis occidentalis 13 23 21 33 124 89 78 183 ...A Auchenoglanis biscutatus 13 15 96 83 150 197 281 104 African bullhead Lophiobagrus cyclurus 13 4 6 19 45 - 19 20 Bagrid catfish Chrysichthys nigrodigitatus 13 18 880 17 821 18 736 15 871 20 827 42 106 31 233 Kibonde Chrysichthys brachynema 13 1 1 9 27 2 9 13 ...A Chrysichthys platycephalus 13 1 1 4 12 1 4 6 ...A Chrysichthys sianenna 13 24 22 28 84 15 28 42 ...A Chrysichthys stappersii 13 7 6 8 24 2 9 12 Black catfishes nei Chrysichthys spp 13 9 321 11 887 9 159 15 265 15 884 12 722 10 283 Bayad Bagrus bajad 13 6 035 5 957 6 059 6 582 7 405 7 772 6 470 Naked catfishes Bagrus spp 13 21 112 16 656 17 318 22 735 23 689 26 805 26 587 Glass schilbid Parailia pellucida 13 2 081 1 883 1 871 2 359 4 068 4 260 3 261 North African catfish Clarias gariepinus 13 48 823 59 551 55 066 52 864 59 309 66 974 78 266 Mudfish Clarias anguillaris 13 35 687 41 513 32 658 30 711 29 339 35 469 34 761 Torpedo-shaped catfishes nei Clarias spp 13 70 764 77 775 82 594 71 720 73 675 56 211 52 905 Sampa Heterobranchus longifilis 13 ... ... 7 779 7 280 7 280 7 280 7 280 Electric catfish Malapterurus electricus 13 22 21 33 137 90 93 109 Upsidedown catfishes Synodontis spp 13 20 139 22 097 21 969 26 664 23 069 23 246 21 125 Freshwater siluroids nei Siluroidei 13 500 500 1 127 1 090 1 133 2 088 1 732 ...A Mastacembelus cunningtoni 13 3 5 5 15 1 5 7 Tanganyika lates Lates angustifrons 13 7 6 4 8 1 6 5 Bigeye lates Lates mariae 13 31 12 10 12 21 56 30 Forktail lates Lates microlepis 13 34 6 90 124 43 100 90 Nile perch Lates niloticus 13 279 899 262 400 252 837 221 559 209 296 204 849 210 288 Sleek lates Lates stappersii 13 843 2 518 2 673 5 094 6 948 7 008 6 350 Freshwater perches nei Lates spp 13 22 127 20 510 826 1 019 10 676 19 406 19 753 Bichique Sicyopterus lagocephalus 13 0 0 0 0 0 0 ... Freshwater gobies nei Gobiidae 13 1 064 845 924 528 714 124 271 Snakeheads(=Murrels) nei Channa spp 13 6 235 8 881 9 754 9 819 8 672 10 254 10 485 African obscure snakehead Parachanna obscura 13 2 2 1 430 1 350 1 350 1 349 1 361 Freshwater fishes nei Osteichthyes 13 898 620 948 624 941 885 1 021 338 1 007 084 1 029 723 1 015 193 European eel Anguilla anguilla 22 5 065 684 491 665 571 634 1 297 Salmonoids nei Salmonoidei 23 199 196 266 213 213 2 ... Diadromous clupeoids nei Clupeoidei 24 201 322 335 257 245 1 018 1 890 Common sole Solea solea 31 1 429 1 384 1 536 889 892 962 1 548 West African ladyfish Elops lacerta 33 80 78 77 422 424 366 320 ...A Arius spp 33 28 50 37 88 62 67 69 Armless snake eel Dalophis imberbis 33 294 2 762 2 877 2 715 2 791 2 881 2 792 Flathead grey mullet Mugil cephalus 33 130 159 78 288 27 62 170 Mullets nei Mugilidae 33 33 242 40 897 31 366 31 278 30 292 35 176 37 205 Seabasses nei Dicentrarchus spp 33 673 659 616 1 134 1 163 1 277 2 539 Meagre Argyrosomus regius 33 67 94 73 38 229 212 285 Saddled seabream Oblada melanura 33 46 45 22 19 14 16 12 473 Fish, crustaceans, molluscs, etc Capture production by species items Africa - Inland waters C-01 Poissons, crustacés, mollusques, etc Captures par catégories d'espèces Afrique - Eaux continentales (a) Peces, crustáceos, moluscos, etc Capturas por categorías de especies África - Aguas continentales English name Scientific name Species group Nom anglais Nom scientifique Groupe d'espèces 2012 2013 2014 2015 2016 2017 2018 Nombre inglés Nombre científico Grupo de especies t t t t t t t Gilthead seabream Sparus aurata 33 567 481 438 470 572 565 1 468 Giant African threadfin Polydactylus quadrifilis 33 ... ... ... 43 6 6 - Round sardinella Sardinella aurita 35 11 11 10 58 59 51 23 Bonga shad Ethmalosa fimbriata 35 1 423 1 656 1 876 5 010 5 263 4 553 4 230 Silversides(=Sand smelts) nei Atherinidae 37 2 714 1 535 3 146 2 799 3 088 3 749 3 441 Carangids nei Carangidae 37 33 32 31 174 175 151 100 River prawns nei Macrobrachium spp 41 53 60 83 52 42 ... ... Freshwater prawns, shrimps nei Palaemonidae 41 4 574 4 887 4 562 3 453 3 473 5 027 1 724 Red swamp crawfish Procambarus clarkii 41 22 24 27 2 544 3 683 6 512 7 616 Freshwater crustaceans nei Crustacea 41 3 250 1 886 1 663 4 336 3 624 8 240 5 354 Penaeus shrimps nei Penaeus spp 45 1 396 1 549 1 590 1 240 1 873 2 683 2 741 Freshwater molluscs nei Mollusca 51 927 1 634 1 493 1 621 1 481 1 784 946 Total 2 698 949 2 813 204 2 841 325 2 835 253 2 872 789 2 996 440 3 004 437 474 Fish, crustaceans, molluscs, etc Capture production by countries or areas Africa - Inland waters C-01 Poissons, crustacés, mollusques, etc Captures par pays ou zones Afrique - Eaux continentales (b) Peces, crustáceos, moluscos, etc Capturas por países o áreas África - Aguas continentales Country or area Pays ou zone 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 País o área t t t t t t t t t t Algeria 0 0 0 0 0 0 0 0 0 0 Angola 5 848 10 000 F 14 000 F 18 000 F 23 000 F 28 887 38 514 18 061 23 601 29 021 Benin 30 250 30 350 31 105 28 206 26 160 32 991 20 770 29 015 33 415 28 900 Botswana 73 F 60 234 378 431 1 168 81 38 38 F 38 F Burkina Faso 11 800 14 520 16 060 20 300 20 500 20 700 20 750 21 770 25 208 27 299 Burundi 12 615 17 305 10 654 12 309 13 232 16 054 20 120 21 805 18 999 20 310 F Cabo Verde 0 0 0 0 0 0 0 0 0 0 Cameroon 75 000 68 000 F 61 000 F 54 000 F 47 000 F 40 000 F 34 000 F 28 000 30 292 30 636 Cent Afr Rep 33 000 F 35 000 F 35 000 F 32 000 30 000 F 29 000 F 28 000 F 29 000 F 29 000 F 29 000 F Chad 88 000 91 000 95 000 100 000 120 000 120 020 100 000 110 000 107 045 107 000 F Comoros 0 0 0 0 0 0 0 0 0 0 Congo 28 385 30 500 33 390 37 870 35 990 38 090 37 320 39 988 38 842 41 034 Congo Dem R 224 000 F 220 000 F 217 000 F 214 000 223 596 225 608 227 700 229 300 230 000 F 230 000 F Côte dIvoire 5 651 6 763 6 256 7 720 7 447 7 461 40 253 40 436 34 963 31 842 Djibouti 0 0 0 0 0 0 0 0 0 0 Egypt 259 577 263 847 253 051 240 039 250 196 236 992 241 179 231 959 261 195 268 590 Eq Guinea 1 000 1 000 F 1 000 F 1 000 F 1 000 F 1 000 F 1 000 F 1 000 F 1 000 F 1 000 F Eritrea 0 0 0 0 0 0 0 0 0 0 Eswatini
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    RESEARCH FOR THE MANAGEMENT OF THE FISHERIES ON LAKE GCP/RAF/271/FIN-TD/Ol(En) TANGANYIKA GCP/RAF/271/FIN-TD/01 (En) January 1992 TOWARDS A REGIONAL INFORMATION BASE FOR LAKE TANGANYIKA RESEARCH by J. Eric Reynolds FINNISH INTERNATIONAL DEVELOPMENT AGENCY FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Bujumbura, January 1992 The conclusions and recommendations given in this and other reports in the Research for the Management of the Fisheries on Lake Tanganyika Project series are those considered appropriate at the time of preparation. They may be modified in the light of further knowledge gained at subsequent stages of the Project. The designations employed and the presentation of material in this publication do not imply the expression of any opinion on the part of FAO or FINNIDA concerning the legal status of any country, territory, city or area, or concerning the determination of its frontiers or boundaries. PREFACE The Research for the Management of the Fisheries on Lake Tanganyika project (Tanganyika Research) became fully operational in January 1992. It is executed by the Food and Agriculture organization of the United Nations (FAO) and funded by the Finnish International Development Agency (FINNIDA). This project aims at the determination of the biological basis for fish production on Lake Tanganyika, in order to permit the formulation of a coherent lake-wide fisheries management policy for the four riparian States (Burundi, Tanzania, Zaïre and Zambia). Particular attention will be also given to the reinforcement of the skills and physical facilities of the fisheries research units in all four beneficiary countries as well as to the buildup of effective coordination mechanisms to ensure full collaboration between the Governments concerned.
  • Hered 347 Master..Hered 347 .. Page702

    Hered 347 Master..Hered 347 .. Page702

    Heredity 80 (1998) 702–714 Received 3 June 1997 Phylogeny of African cichlid fishes as revealed by molecular markers WERNER E. MAYER*, HERBERT TICHY & JAN KLEIN Max-Planck-Institut f¨ur Biologie, Abteilung Immungenetik, Corrensstr. 42, D-72076 T¨ubingen, Germany The species flocks of cichlid fish in the three great East African Lakes, Victoria, Malawi, and Tanganyika, have arisen in each lake by explosive adaptive radiation. Various questions concerning their phylogeny have not yet been answered. In particular, the identity of the ancestral founder species and the monophyletic origin of the haplochromine cichlids from the East African lakes have not been established conclusively. In the present study, we used the anonymous nuclear DNA marker DXTU1 as a step towards answering these questions. A 280 bp-fragment of the DXTU1 locus was amplified by the polymerase chain reaction from East African lacustrine species, the East African riverine cichlid species Haplochromis bloyeti, H. burtoni and H. sparsidens, and other African cichlids. Sequencing revealed several indels and substitutions that were used as cladistically informative markers to support a phylogenetic tree constructed by the neighbor-joining method. The topology, although not supported by high bootstrap values, corresponds well to the geographical distribution and previous classifica- tion of the cichlids. Markers could be defined that: (i) differentiate East African from West African cichlids; (ii) distinguish the riverine and Lake Victoria/Malawi haplochromines from Lake Tanganyika cichlids; and (iii) indicate the existence of a monophyletic Lake Victoria cichlid superflock which includes haplochromines from satellite lakes and East African rivers. In order to resolve further the relationship of East African riverine and lacustrine species, mtDNA cytochrome b and control region segments were sequenced.
  • Length-Weight Relationship and Spawning Season of Bagrus Bayad (Forsskal, 1775) in Yamama Lake Kebbi State, Nigeria

    Length-Weight Relationship and Spawning Season of Bagrus Bayad (Forsskal, 1775) in Yamama Lake Kebbi State, Nigeria

    Research Article Oceanogr Fish Open Access J Volume 12 Issue 4 - September 2020 Copyright © All rights are reserved by Jega Ibrahim Shehu DOI: 10.19080/OFOAJ.2020.12.555841 Length-Weight Relationship and Spawning Season of Bagrus bayad (Forsskal, 1775) in Yamama Lake Kebbi State, Nigeria Jega Ibrahim Shehu*, Daramola Ismail Maryam and Rasaq Ibrahim Department of Forestry and Fisheries, Kebbi State University of Science and Technology, Nigeria Submission: August 21, 2020; Published: October 01, 2020 Corresponding author: Jega Ibrahim Shehu, Department of Forestry and Fisheries, Kebbi State University of Science and Technology, P.M.B. 1144, Aliero, Nigeria Abstract The study was conducted to investigate the Length-weight relationship and spawning season of Bagrus bayad from Yamama Lake, Kebbi TheState Gonadosomatic Nigeria. Fresh fishIndex catches (GSI) wasof B. determined bayad were using collected the formula, in batches (Gonad from weight/the fish Totallanding body site weight) of Yamama x 100. Lake The forregression a period analysis of six (6) of months,Length- from April 2019 to September 2019. The parameter of Length-weight relationship of sampled fish was evaluated using the equation W = aLb. weight relationship for the male fishes was estimated as W= 0.006 L3.25 indicating positive allometric growth pattern. For the females, the- ingregression should beanalysis restricted was foundin June. as W= 0.009 L3.077 also indicating positive allometric growth pattern. Monthly mean GSI values for female were highest in June (2.79), indicating the peak spawning season. For increased spawning of B. bayad in Yamama lake, it was recommended that fish Keywords: Bagrus bayad; Length-weight relationship; Gonadosomatic index; Yamama lake Introduction between them [4,5].