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Non-conventional Fishery By-products of Fish Markets in Dhaka Metropolis, Bangladesh

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Abstract and Figures

The non‐conventional fishery by‐products in the fish markets of Dhaka metropolis were identified and quantified by structured survey while the marketing channels were examined through observation. Nearly 22,049 mt byproducts were estimated in these markets in which only 15 per cent was found to be used commercially. While cutters were found to collect most dry scales, maws were drawn by the cutter‐cum‐sellers. Estimated total yield of dry scales found was 390 mt which could be increased by 9‐folds. The expected potential harvest of maws could be increased by 2‐folds while PG by 28‐folds of the present. Total value of the current harvest of dry scales, maws and PG found was US$604,615 which would be increased by 3.5‐folds if the entire yield can be harvested. This study has clearly shown the potential economic importance of the nonconventional fishery by‐products of Dhaka City that may improve the livelihoods of the poor cutters and cutter‐sellers.
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NonconventionalFisheryByproductsofFish
MarketsinDhakaMetropolis,Bangladesh
BhaktaSupratimSarker*,MahmudHasan**,Mohammad
ShamsurRahman**andA.F.M.ArifurRahman***
marketsofDhaka
esemarketsinwhichonly15percentwasfoundto
ttercumsellers.Estimatedtotalyieldofdryscalesfound
was390mtwhichcouldbeincreasedby9folds.Theexpectedpotentialharvest
ofmawscouldbeincreasedby2foldswhilePGby28foldsofthepresent.Total
valueofthecurrentharvestofdryscales,mawsandPGfoundwasUS$604,615
whichwouldbeincreasedby3.5foldsiftheentireyieldcanbeharvested.This
studyhasclearlyshownthepotentialeconomicimportanceofthenon
conventionalfisherybyproductsofDhakaCitythatmayimprovethe
livelihoodsofthepoorcuttersandcuttersellers.
1.0Introduction
1.1Background
BangladeshhasearnedtheeverhighestforeigncurrencyUS$410millionin
20042005fromfisherysubsectorinwhichthecontributionoffisheryby
productswas0.02percent.However,theearningsfromsharkfinsandfish
maws1(majorpartsofnonconventionalbyproducts)havebeensurprisingly
decreasing.Theexportofsharkfinsandfishmawsdroppedfrom172.48mt
(20022003)and37.82mt(20032004)to0.48mt(20042005)overlastthree
yearsperiod(EPB2005).Thisstrongdeclinemayshiftopportunitiesor
reduceincomeandincreasevulnerabilitiesofthepoorcollectors.
Abstract
Thenonconventionalfisherybyproductsinthefish
metropoliswereidentifiedandquantifiedbystructuredsurveywhilethe
marketingchannelswereexaminedthroughobservation.Nearly22,049mtby
productswereestimatedinth
beusedcommercially.Whilecutterswerefoundtocollectmostdryscales,maws
weredrawnbythecu
* DepartmentofFisheries,GovernmentofBangladesh,MatshyaBhaban,Ramna,
Dhaka,Bangladesh.
** DepartmentofFisheries,UniversityofDhaka,Dhaka1000,Bangladesh.
Correspondingemail:mhasan@univdhaka.edu
*** DepartmentofFisheriesandMarineScience,NoakhaliScienceandTechnology
University,Noakhali3802,Bangladesh.
AsiaPacificJournalofRuralDevelopment
Vol.XIX,No.2,December2009
57
1.2Rational
Thecol )and
viscerafrom meal,
fishoilan andPG
hasbeenexpo e(EPB2005;
personalcommunicationwithAnil Rajbangshi,DariaLalTraders,
50/1/ASouthSayedabadDhaka ).Therefore,identificationand
qua de
theeir
eco
1.3
Alt m
Ban
pro est
ofnd
pot or
peo
1.4
productionofsharkliveroil,fishmealandmanure,
apinthelaboratoryhavebeenreported(Ahmad1965).
toidentify
andquantifythenonconventionalfisherybyproductsoffishmarketsin
Dhakametropolisandrediscovertheeconomicimportance.
1.5Objectives
Thepurposesofthisstudyaretoidentifyandquantifythetotalyieldand
harvestofnonconventionalfisherybyproducts;todeterminetheirpotential
e
le G3
ctorscollectscales2,swimbladder(SB),pituitarygland(P
fishmarketswhichareusedtoproducefishmanure,fish
dfishglueetc(Ahmad1955).Thescales,maws(driedSB)
rtedtoThailand,China(HongKong),Singapor
Chandra
1204,2006
ntificationofthesefisherybyproductsinthefishmarketswouldprovi
baselineinformationforfurtherdevelopmentinitiativesandth
nomicpotentials.
Problem
houghscales,mawsandPGarebeingusedinandexportedfro
gladesh,informationisnotavailableontheyieldandharvestoftheseby
ducts.Asaresult,thereisaneedtodeterminethetotalyieldandharv
thesefisherybyproductsandidentifytheirmarketingchannelsa
entialsforfurtherdevelopmenttoimprovethelivelihoodsofthepo
pleengagedintradingthesebyproducts.
ResearchNeed
Thepotentialsforthe
fishglueandso
However,inIndiainstead,thetraditionalfisherybyproductsare:fish
proteinconcentrate,fishalbumin,gelatine,pearlessence,peptones,amino
acids,andprotaminesthatarebeingisolatedfromfishwastes.Thechitinand
chitosanhavebeenextractedfromshrimpandcrabs.Thebiochemical
derivativesofnonconventionalfisherybyproductsarebecomingpopularin
thepharmaceuticalindustries(Balachandran2001).However,quantification
ofscales,maws,PGsandtheirpotentialeconomicimportancehavenever
beenreportedinBangladesh.Thisstudy,therefore,wouldfocus
58
economicimportance;andtoidentifythemarketingchannelsinDhaka
asconductedinthefishmarkets,traders’housesandinthe
feedmanufacturingfactoriesofDhakametropolis.Purposiverandom
ndVegetableMarketSmall
).OfthetotalmarketswherefisharecutinDhaka
metropolis,10percentwerecoveredinthissurvey(Table1).Thusthe
metropolis.
2.0MaterialsandMethods
2.1ResearchApproachandTechnique
Thequantitativedatawerecollectedbystructuredsurveywhilequalitative
informationwasexploredbycasestudiesandobservationsastheprimary
toolsfollowingBlaxteretal.(1996).
2.2Sampling
Thesurveyw
samplingtechniquewasappliedincollectingthedata.
2.3CriteriaforMarketSelection
ThetotalnumberoffishmarketsinDhakametropolisis395whichhavebeen
classifiedaccordingtotheDhakaMahanagarMachhOKanchaBazarKshudra
BaybasayiSamiti(DhakaMetropolitanFisha
TradersAssociation
samplesizewas40.
Table1:NumberofMarketsunderDifferentAuthority
OwnershipNumber
DCC(DhakaCityCorporation)138
PWD(PublicWorksDepartment)16
BangladeshRailway 9
MasjidandMadrasaCommittee32
Private200
Total395
2.4MarketCategorisation
Sampled40fishmarketswereclassifiedintothreecategoriesbasedonthe
numberoffishretailers(Table2).Themarketsizeclassifieddepending
onthenumberofthefishretailersindicatestheyieldofbyproductsand
theirtypes.
59
2.4.1Basisofmarketcategorisation
Numberoffishretailer=Seller4+Cuttercumseller5
ers
ofthemarketPercentageofthetotal
Marketcategory1=130fishretail
Marketcategory2=3160fishretailers
Marketcategory3=above60fishretailers
Table2:DistributionoftheFishMarkets,AccordingtotheCategories
Category Number
Marketcategory11947.5
Marketcategory21537.5
Marketcategory3615.0
Total 40100.0
2.5SelectionofSampleSizeoftheCutters6
Nearlyonefifth(19%)ofthetotalcuttersfoundinthemarketswere
2.6.1Basisofclassifyingthecutters
C=Cutter(peoplewhocutfishessoldbytheseller)
Cwhosellandcutfishes)
Tllersweredifferentinecon icstatusand
tl.
TDistributionoftheCuttersandCuttercumSelle the40Fish
MarketsofDhakaMetropolis
 PercentageofTotal
individualin
Percentageof
total
surveyedinthisstudy.
2.6Cutters’Classification
Surveyed86individualswereclassifiedintotwogroupsascutterandseller
dependinguponwhethertheycutand/orsellfish(Table3andTable4).
CS=Cuttercumseller(people
hecuttersandthecuttercumse om
hecollectingpotentia
able3: rsin
GroupIndividual
surveyedsurveyedtotalthemarketindividual
Cutter2023.38117.9
Cuttercumseller6676.737182.1
Total86100.0452100.0
60
2.7QuantificationandValueEstimation
oneyear.Valuesofthe
currencyBangladeshitaka(BDT)and
CuttersandCuttercumSellers
Individ Total t
Thefishbyproductswereassessedforaperiodof
byproductswereestimatedinlocal
wasconvertedintoUSdollar(US$).
Table4: Distribution(Frequency)ofthe
inthe40FishMarkets,AccordingtoCategorisation
ualsurveyed individualinthemarke
CCutterCCS CutterCTotal
ategory Total CS
M52934171 144arketcategory127
M72633141 173
M38111950135
81371452
arketcategory259
arketcategory 85
Total 206686
2.8DataEntry,EditingandAnalysis
Thequestionswerepostcodedwhenneeded,enteredonthecomputerusing
erentryandanalysedusingstatisticalsoftware
SPSSversion10.0.Descriptivestatisticswasusedinanalysingand
3.0FindingsofSurvey
3.1QuantificationofFisheryByproducts
totalyieldofbyproductsby452cuttersand
cutterswashigherthanthatofthecuttercumsellers.Surprisinglyinthe
marketofcategory1ge roduc high
category2an yie by themof
category1expectedtobelowerthaninthecatego low f
uctsinthemar ofcategor erhapsbeca ofhighers
ducednea reefoldshigherbyprodu an
esamequantityof shwaterf5).
MicrosoftExcel,checkedaft
presentingthedata.
3.1.1Averageandestimatedtotalyieldoffisherybyproducts
Ofthecutters(C)andcuttercumsellers(CCS),86weresurveyedin40
marketsinwhicheachindividualyieldednearly4878kgbyproductseach
year(Table5).Theestimated
cuttercumsellerswerenearly2204.9mtand22049mtinall395marketsin
Dhakametropolis.However,thequantityofbyproductsyieldedbythe
,theavera
d3.The
yieldofbyp
ldoffishery
tswas
productsin
ry2.This
ercompared
arket
eryieldo
tothe
byprod kety1puselanding
ofmarinefishes;whichpro rlyth ctsth
didth fre ishes(Table
61
Table5: QuantityofByproductsProduction(kg/CCCS/y)in
40FishMarkets
Categoryofthemarkets
Group 1Total
23
Cutter7236414665535881
Cuttercu 4574
Total 3511
mseller605633403583
623048334878
3.1.2Useoftherawpro ces
(85%) erefo tobedinngla hile r
beus inpoultry/fish indu and ercen y
maw,PGandoparts sfoundtobe porte tobe d
sixpercentwasharvestedbythe
collectors.
Modeofcollection
du
Mostbyproducts wund eus filli ndw9pe
centwasfoundto ed feed stries 6pt(dr
scale7,ther 8)wa ex dor use
domestically(Table6;Figure13).This
cuttersandcuttercumsellersorprimary
Table6:DestinationoftheCollectedByproductsand
theModeofCollection
Destination 12345Total
Commercialuse0.00.09.30.05.514.8
Useaslandfill 61.120.40.03.70.085.2
Total 61.120.49.33.75.5100.0
Note:Legend:1=Dailylabourofthemarketcommittee;2=DCC;3=Poultry/fishfeed
manufacturer;4=RemovalbytheC/CCS;5=CollectionbytheC/CCS.
Amongfisheswhicharecutinthemarkets,scalyfisheswerefound
predominant(61.3%)comparedtononscalyones.Thisindicatesthattrading
offishscaleswouldbeincreasedbytakingproperinitiatives(Table7).On
theotherhand,amongthenonscalyfishes,thecontributionofmarine
catfishesandfreshwatershark(boalinBengali)Wallagoattuwas(5.2+2.6=
7.8%)8percentthathasbeenusedinproducingmawswhichisahighvalue
fisherybyproduct(Table7).
62
Table7:Distribution(%)ofCutFishamong86FishCuttersandCutte
cumSellersinSu
r
rveyedFishMarkets
Typeoffish
Group/
speciesScalyNonscaly OtherT
otal
124.1 0.00.024.1
214.0 0.00.01
19.2 0.00.019
0.0 0.05.55
50.014.00.014.0
0.01.51.5
5.20.05.2
.00.9
130.02.00.02.0
Total24.714.0100.0
4.0
3
4
.2
.5
60.0
70.0
82.30.00.02.3
91.70.00.01.7
100.02.60.02.6
110.00.01.51.5
120.00.90
140.00.05.55.5
61.3
Note:Legend:1=Majorcarp(Labeosp.);2=Catlacatla;3=I
sp;6= pophthal
ndianshad(Tenualosailisha;
missp Pangasi m hthysm;7=Marine
8= inasp; tenopha odonidellus/Cyprin rpio/H is;
=Sna ad;12 ;13=Fr c h(Mys );14er
catfish/minorcar wn/Je es/sea hes/flat d.
3.2.1markets
umberofcollectorsPercentageofcollectors
4=Oreochro ;5= usHy ic olitrix
catfish/Ritasp;
10=Boal;11
Cirrh
kehe
9=C
=Eels
ryng
eshwater
usca
tussp
.nobil
=Othatfis
freshwater ps/pra wfish perc hea
3.2DryScale
Distributionofthedryscalecollectorssurveyedin40fish
Ofthesamplesurveyed,12percentofthecollectorswerefoundtocollect
dryscalewhileinexcessof88percentdidnot(Table8).Bytakingproper
initiatives,thenoncollectorsmaybeencouragedtocollectthescalesthat
couldincreasetheirincome(Figure1).
Table8:Distribution(%)oftheDryScaleCollectors
CategoryoftheC/CCS N
Collect1011.6
Donotcollect7688.4
Total86100.0
63
3.2.2Averagecollectionofdryscaleandestimatedtotalyield(kg)
ewhohavebeencollectingdryscaleAmongthos inthesurveyedmarkets,in
tketofcategory3,theefoundcollectingthe
quantitywhilethecsel t(Tabl eunwillingnessof
tcuttercumseller ollectingdr alescoulduetotheperception
oinreducingth cialstatusparedtothe ters.Anoth ason
fnotcollectingth scalesbycuttercum erscouldbour
intensiveness.Theyi dryscale rcollectorannumwa 0kg.
However,52(12%)co (C/CC refoundcollectingdrysc
ttotalyieldinthes led40mark wouldbe3/y.
Table9:QuantityofScaleProduction(kg/CCCS/y)in40Fish rkets
Catego themarkets
hemar cutterswer highest
uttercum lersdidno e9).Th
hesincysc bed
frisk eirso com cut erre
oredry the ‐sell bela
eldof spe pers75
llectors S)we ales.Thus
heamp ets9mt
Dry Ma
ryof
Group 123lTota
Cutter0060  3 3 1380 744
Cuttercumseller30 0 
al 1570  
31040 756
Tot 3 8 1380 750
3w
Ofth
found
labourintensivetocollect.Thusthiscouldeasilyincreasetheearningofthe
eyareencouragedtocollectthisvaluableitem(Figure2).
.3Ma
3.3.1Distributionofthemawcollectorsurveyedin40fishmarkets
esamplesurveyed,nearlyhalfthecuttersandcuttercumsellerswere
tocollectmaw(Table10).Mawisahighvalueexportitemandless
CandCCSifth
Table10:Distribution(%)oftheMawCollectors
CategoryoftheC/CCSNumberofcollectorsPercentageofcollectors
Collect4147.7
Donotcollect4552.3
Total86100.0
ld(kg)
edthe refo
mawthandidthecutters(Table11).Whileinth rketsof
d2,onlythecuttersrefoundcuttingfi yielding
elysmallerquantityofmaw,in emarketofthirdcategory,both
3.3.2Averagecollectionofdrymawandestimatedyie
Inallmarketssurvey cuttercumsellerswe undcollectinghigher
quantity ema
category1an we shes
relativ th
64
cuttercumsellersandcutterscutmarinecatfishes,yieldedhigherquantity
ofmaw.Theoverallaverageyieldofmawperindividualwas17kgper
annum.However,total216(48%)collectors(C/CCS)werefoundtoharvest
maw.Thusthetotalyieldinthesurveyed40marketswouldbe3.67mt/y.
Table11:QuantityofDryMawYield(kg/CCCS/y)in40FishMarkets
Categoryofthemarkets
Group 123Total
Cutter6.966.0024.0010.52
Cuttercumseller11.9622.4826.7020.00
Total 10.1717.9125.8017.00
3.3.3Seasonalabundanceofm
Season changesinthe llectionofmawswereobserved.During
OtomidFebruar equantityawscolle undwa her
thsof (Table t,insome sesbetwe ese
pbecauseofincle weather,tpplyofmcatfishdropped,
evenitbecomenilinthecity,resultinginasignificantfallinmaw
aw
al co mid
ctobery,th ofmctedfo shig
haninothermont theyear 12).Bu ca enth
eriods ment hesu arine
sometimes
yield.
Table12:SeasonalAvailabilityofMaw
Months
Availabilit
y Se
p
Oc
t
No
v
De
c
Ja
n
Fe
b
Ma
r
Ap
r
Ma
y
Ju
n
Ju
l
Au
g
Peak  
 
O 
3land(PG)
3stribution(%)ofthePGcollector veyedin40fishmarkets
tPGwhilein
Moderate 
ff     
.4PituitaryG
.4.1Di sur
Ofthesamplesurveyed,veryfewpeoplewerefoundtoharves
excessof96percentdidnot(Table13).ThecollectorsofPGwereveryfew
whichmaybeduetothedeclinedpricesanddifficultiesinharvest(required
alcohol/acetoneetc)(Figure3).
65
Table13:Distribution(%)ofPGCollectors
CategoryofC/CCSNumberofcollectorsPercentageofcollectors
Collect33.5
Donotcollect8396.5
Total86100.0
3.4.2Averagecollectionof andestimatedtotal
Fmarke tegory dcutterclersinc2
westPG erema notbofdrop ice
( 46/piece)andina skill ovingPG fishbra ble
wasfound360pcs/collector/yinwhich16
harvestingPG.Thusthetotalharvestof
PG
ewcuttersinthe
erefoundtoharv
tsofca 3an umsel ategory
whil iningdid ecause pedpr
US$0.0 dequate inrem from in(Ta
14).EstimatedoverallyieldofPG
(4%)collectors(C/CCS)werefound
PGinall40marketssurveyedwouldbe5760pcs/y(Table17)
Table14:QuantityofPG(pcs/CCCS/y)Yieldedin40FishMarkets
Categoryofthemarkets
Group 123Total
Cutter00300300
Cuttercumseller 048
Total 048
00480
0300360
Parts(head, skin,gill,rtin
.1Distribution co cto and ell co ctin oth pa in 0fish
sur eye
psurveyed,whileonlyonequarterwasfoundthar estnd
othe partsofhbo y,iexc ssof 74pe cen didnot(Table ).
otherpartsoffishbodybymostcouldbe
gthoseawaybythecustomersofthefishcut.

3.5Other
3.5
jaw,
lle
o
ers
e,intes eetc.)
g
erof rs slle rts 4
markets v d
Ofthesam le ova
sellthe rfis dnert 15
Thereasonfornotharvesting
themselvesbecauseoftakin
Table15:Distribution(%)ofOtherNonconventionalPartsCollectors
CategoryofC/CCSNumberofcollectorsPercentageofcollectors
Collect2225.6
Donotcollect6474.4
Total86100
66
3.5.2Pricesofdifferenttypesofbyproducts
observed eflu
items(head,jaw,gill,skin,roe, ,intestine,clippedfin )andthe
percutterandcuttercum ller.Infewmarkets 1)it
atasfewas250gwassold byacutterandcutter sellera
hileinothers(category2and3) quantitywas810owever,
refoundUS$0.31/kgand
tPGinthe
evenly
3they
thatcouldbedmawsbythe y
asobserved(Figure1and2).
(%) Individua ferentFis By
(amon 6C/CCS)iof hMarkets
Asrespondeditwas thatthepriceswer ctuatingsignificantly
among oil etc
quantitysold
wasfoundth
se
(category
cum
daywthe kg.H
thepricesofgut,gill,jaw,clippedfinetcandroewe
US$3.1/kgrespectively.
3.6DistributionofCollectorsamongDifferentMarketCategories
Marketsofcategory3havehigherpotentialinyieldingPGandotherparts
comparedtoothercategories(Table16).Inthemarketsofcategory3,
traditionallylargesizedfishesarecutwhicharesuitabletoharvestPGand
otherparts.Nocutter/cuttercumsellerwasfoundtoharves
marketsofcategory1.Peoplecollectdryscalesandmawswerefound
distributedinthemarketsofcategory1and2,whileinthecategory
werefewer
collectors
uetotheharvestof primar
Table16:Distribution
products
of l
nDifferent
sCollectingDif hery
g8Fis
Categoriesofmarkets
Item123Total
Dryscale404020100
Maw 44422100
100
(dry)3
PG03367
Otherparts233245100
3.7ExpectedPotentialTotalYield(kg)andRevenue(tk)
Thecurrentestimatedyieldofdryscaleswasnearly39mtfoundin40fish
dry
wouldbe metropolis all
cumselle etot 90
his869percentand9foldshigherthanthecurrently,
ndCCSswouldharvest ,thetotalyieldcou 2825per
nd28timeshigherthanthepresent’s.
markets.However,totalmarketsfoundwere395.Thusthetotalyieldof
scalesestimated
cuttersandcutter
390mtinDhaka
rswouldharvest,th
(Table17).If
alharvestcouldbe33
mtwhic evel.Similarl
ifallcuttersaPG ldbe
centa
67
Table17:CurrentandExpectedPotentialYieldofDifferentFisheryBy
shproductsofSurveyedFi Markets
CurrentyieldExpectedpotentialyield
Item CollectorQuantityCollectorQuantity
Incrementof
thecurrent
yield(%)
Dryscale5239mt452339mt869
Maw(dry)2163.67mt4527.68mt209
PG165760pcs452162720pcs2825
Itisimportanttonotethatin2006,theaveragemarketpriceofdryscaleswas
of
ofcurrenttrading(US$0.6million)
usedinp
T18:CurrentandExpec ofDifferentFi By
productsof Fish arkets
ICurrentvalu S$)Expectedpotentialv
(US$)
Incr of
curren e(%)
US$0.29/kg,mawUS$13.3/kgandPG(storedinalcohol)US$0.05/pc.The
valueoftheestimatedpotentialyieldofdryscaleinDhakametropolisthus
wouldbeUS$1millionwhichis869percentincrementofthecurrent
US$0.11millionperannum(Table18).Similarly,thevalueofthepotential
yieldofmawwouldbeUS$1.02millionthatis209percenthigherthanthe
currentvalueandPGUS$0.08millionthatis2825percentincrementofthe
presentvalue(onlyUS$0.003million).Thusthegrandtotalvaluewouldbe
US$2.09millionatthepresentmarketpriceatprimarylevels marketing
channelswhichis346percentincrease
excludingthecontributionfromotherparts,andquantitywasfoundtobe
oultryandfishfeed.
abletedPotentialValue shery
Surveyed M
tem e(U alue ement
tvalu
D1134 98571ryscale0869
Maw(dry)48818102159209
2825
Total 60453209066346
PG2958336
3.8Marketingchannels
MarketingchannelsoffisherybyproductsaregiveninFigures13:
68
Figure1:MarketingChannelsofScale(withfishoffal)inandOutsideof
hakaMetropolitanCityD
PRIMARY
COLLECTOR
FISHOFFALCOLLECTOR
(fromdifferentmarkets)
FISHOFFALGATHERER
(fromindividualmarket)
FISHMARKET
CandCCS
SUPPLIER
CCS CUTTER
SECONDARY
COLLECTOR
TERTIARY
ECTOR/
TRADER
COLL
SCALE
EXPORTER
INTERNATIONAL
MARKET
Inferior scale with fin, slime,
blood, gut, jaw, gill, trash fish etc
Removingscaleandsorting
Inferiorscalewithfin,slime,
blood,gut,jaw,gill,trashfishetc
Quality scales
wash and dry
Dry scale
Grading dried scale
Packaging graded scale
Graded and packaged scale
Branded scale
Fish/po ,protein
concen meal
ultryfeed
trate,fish
Fish/poultry feed
FARM
(Fishorpoultry)
FACT
(Fishltryfee turing)
Increasin
g
p
rofitmar
g
in
Increasing profit margi
ORY
dmanufacorpou
n
Note:Dashedlineindicatessecondarytradingchannel.
69
Figure2:LinksbetweenChannelsofMarketingforMawinand
OutsideofDhakaMetropolis
LOCAL
CUSTOMER
CANDCCS
FISHMARKET
CANDCCS
SUPPLIER
CCS
CUTTER
SECONDARY
COLLECTOR
TERTIARY
COLLECTOR/
MAWTRADER
EXPORTER
INTERNATIONAL
MARKET
PRIMARY
COLLECTOR
Bhagamaw(mixed
withotherb
y
roducts)
Removing themaw
Wetorrawmaw(mixedwith
jaw,gill,head,gut,roeetc)
Splitting,
washing
anddrying
maw
Driedmaw
Grading maw
Packaging gradedmaw
Gradedandpackagedmaw
Brandedmaw
Increasing profit margin Increasing profit margin
Note:Dashedlineindicatessecondarytradingchannel.
70
Figure3: MarketingChannelsforTradingPGinandoutside
.0
.1Conclusion
urrentyieldofdryscalesis390mt,maw(dry)36.7mtandPG57600pcsas
bservedinthisstudyinthefishmarketsoftheDhakametropolitan.
owever,thepotentialyieldwouldbe3390mtofdryscales,76.8mtofmaw
ry)and1627200pcsofPGwhichis869,209andnearly3000percent
creaseofthepresentifallpeopleinvolvedinthissectorharvestthesenon
onventionalfisherybyproducts.Thusthetotalyieldwouldbemanyfolds
anthepresent’sinallmarketsacrossthecountry.
DhakaMetropolitanCity
FISHMARK
CAND
ET
CCS
PGTRADER
/
SUPPLIER
EXPORTER
INTERN
MARKET
ATIONAL
Drycondition
(ampoule)
Acetonepreserved
ordried
Alcoholwashes,stored
inacetoneand/ordry
Removing PG(brain)and
preservinginalcohol
Alcoholwashes,stored
inacetoneand/ordry
LOCALHATCHERIES
COLLECTOR
Acetonepreserved
ordried
IncreasingprofitmarginIncreasingprofitmargin
PG
4ConclusionandRecommendations
4
C
o
H
(d
in
c
th
71
Basedont ecurrentmarketpricesofthoseproducts,theestimatedvalu
lionthatcouldberosetoU
heis
US$0.6mil S$2.09millionayearwhichis346per
centincreaseofthepresentvalueonlyfromDhakametropolitancity.
owever,theexportershavebeenpurchasingthoseitemsacrossthecountry.
herefore,theprospectofimprovingthelivelihoodsthroughincreased
arvestandincomebylingthefisherybyproductsisvivid.
.2Recommendations
1. Detailedstudyisnecessarytoidentifyandquantify totalyield
andharvestofnonconventionalfisheryby andtheir
potentialtrading;
2. EPBcanidentifythecausesresponsiblefordeclininginexportof
fisherybyproductsduringlastfewyearsfromBangladesh;
3. PWD,MasjidandMadrasa mitteesandtheprivateowners
ofthefishmarketscanalsoativesinthemarketsownedby
themtoimprove thecurrentharvestingsystemoffishoffalandthus
canincreasesupplyforcommercialusages;and
4. needto change ofbuyingwholefishfromthe
insteaddressedfishleavingtheunwantedparts(scales,
PG,fins,gills,gutetc.).
ndnotes
Driedswimbladder(airbla deract offish
Anyofthethinplatesorhardmaterialthatcovertheskinofmanyfish
Pituitarygland(masterglandofhormonalsecretion)
Sellfishesinthefishmarketsbutnevercutthose,generallyknownfishretailer
Cutfisheswhicharesoldbythemselvesaspromotionalandincomegeneratingactivity
Cutfisheswhicharesoldthesellersasanincomegeneratingactivity
Fishscaleswhicharedriedundersun/sundriedfishscale
areproducedwhilechopping
largefishes
EPB(ExportPromotionBureau).2005.Monthlyexportstatistics.
H
T
hsel
4
the
products
com
takeiniti
DCC,
Thereisa  ourtradition
markets
maws,
E
1dashydrostaticorgan)
2
3
4
5
6by
7
8Head,jaw,skin,gill,fishroe,intestine,oiletc.which
References
Ahmad,N.1955.FishwealthofEastPakistan(thethen).GovernmentPrinting,EastBengal,
GovernmentPress,Dacca(thethen).P.25.
Ahmad,N.1965.EastPakistan(thethen)Information.P12.
Balachandran,K.K.2001.PostharvestTechnologyofFishandFishProducts.Delhi:Daya
PublishingHouse.P.440.
Blaxter,L.,C.Hughes,andM.Tight.1996.Howtoresearch.Buckingham:OpenUniversity
Press.P.263
72
Article
Full-text available
Fish scales are generally considered as obsolete fish waste in Bangladesh, though ­they are the valuable component with versatile applications throughout the world. Therefore, this study was conducted to investigate the production, market chain, and future potential of fish scales in Khulna region of Bangladesh following the primary and secondary data. The major fish species contributing scales in the study area are Labio rohita, Lates calcarifer, Catla catla, Cirrhinus cirrhosis, Anabas testudineus, Oreochromis niloticus, Mugil cephalus, and Labeo bata. The study revealed that only 30% of fish scales were utilized of which 90% were exported and 10% were used in local fish and poultry feed industries. The scales were exported to Japan, Hong Kong, Singapore, Malaysia, Thailand, and China following a simple market chain that includes local fish cutters, scale retailers, national dealers, and finally importers sequentially. The scales’ price was varied from 295 to 472 US/MTinthelocalmarketand500to2000US/MT in the local market and 500 to 2000 US/MT in the export market following the market availability and size. A huge amount (70%) of fish scales remains unutilized which could be a potential for better economic growth in Bangladesh. Therefore, initiatives of commercial utilization of fish scales is expected with a sound institutional policy in Bangladesh.
Fish wealth of East Pakistan (the then)
  • N Ahmad
Ahmad, N. 1955. Fish wealth of East Pakistan (the then). Government Printing, East Bengal, Government Press, Dacca (the then). P. 25.
East Pakistan (the then) Information
  • N Ahmad
Ahmad, N. 1965. East Pakistan (the then) Information. P 1-2.
Post-harvest Technology of Fish and Fish Products
  • K K Balachandran
Balachandran, K. K. 2001. Post-harvest Technology of Fish and Fish Products. Delhi: Daya Publishing House. P. 440.