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Wednesday, 14 January 2015

Impact of diseases on fish production of baors in Jessore, Bangladesh

Impact of diseases on fish production of baors in Jessore, Bangladesh

Bipul Kumar Dey Md. Mer Mosharraf Hossain Sanjoy Banerjee Bappa Shirin Akter Shoumo Khondoker
Department of Fisheries and Marine Bioscience, Jessore University of Science and Technology, Jessore-7408, Bangladesh
Correspondence: Bipul Kumar Dey, Department of Fisheries and Marine Bioscience, Jessore University of Science and Technology;
Email: bipulkumar.jstu@gmail.com
Received: 07 Jan 2014, Received in revised form: 14 Apr 2014, Accepted: 22 Apr 2014, Published online: 24 Apr 2014
Citation: Dey BK, Hossain MMM, Bappa SB, Akter S and Khondoker S (2014) Impact of diseases on fish production of baors in Jessore,
Bangladesh. Journal of Fisheries 2(1): 70-75. DOI: dx.doi.org/10.17017/jfish.v2i1.2014.11


Abstract
The study was carried out to assess the impact of diseases on fish production in baors of Jessore district,
Bangladesh from March 2012 to January 2013. Studied baors were selected randomly from each sub-district
which covered 39.22% of total baors and 71.87% baor areas in Jessore district. All the surveyed baors were
affected more or less by various diseases and in 80% baors noticeable production loss occurred almost every
year. The main diseases were epizootic ulcerative syndrome (EUS), dropsy, gill rot and fin rot; out breaking
time ranged from November to February each year. EUS was recorded in 85% baors whereas other diseases
were found in various baors at various percentages: dropsy (75%), gill rot (45%) and fin rot (55%). Conferring
to the number of affected fishes, 31.25% were affected by EUS, 37.5% by dropsy, 12.5% by gill rot and 18.75%
by fin rot. In the year 2012, 0.513% loss of production has occurred that designated 0.7599 million BDT.
Through successful work on disease control and management, production loss may be minimized.
Keywords: Impact, fish diseases, production, baor, oxbow lake
INTRODUCTION
Bangladesh has achieved remarkable progress in the
fisheries sector since its independence in 1971 and this
sector have been playing a very significant role and
deserve potential for future development in the agrarian
economy of Bangladesh (DoF 2012). The sector's
contribution to the national economy is much higher than
its 4.39% share in GDP, as it provides about 60% of the
animal protein intake and more than 11% of the total
population of the country is directly or indirectly involved
in this sector for their livelihoods (DoF 2012). The
increasing rate of exporting of fish and fishery products
was 45.54% from the fiscal year 2009-2010 to 2010-2011.
In recent years, this sector performs the highest GDP
growth rate in comparison to other agricultural sectors
(crop, livestock and forestry) (DoF 2012). The growth rate
of this sector over the last 10 years is almost steady and
encouraging, varying from 4.76% to 7.32% with an
average 5.61%. Whereas last four years average growth
rate of this sector is 6.22%. The country's export earnings
from this sector were 2.46% during the fiscal year 2011-
12 (DoF 2012).
Bangladesh is one of the world's leading fish producing
countries and it’s total fish production shows a
consistently increasing trend from the fiscal year 1983-
1984 to 2011-2012 and the production increased more
than four times (754,000 MT in 1983-1984 to 3,262,000
MT in 2011-12) (DoF 2013). The diversified fisheries
resources of the country are divided into three groups,
i.e., inland capture, inland culture and marine capture.
Inland culture includes mainly pond/ditch, baor (oxbow
lake), shrimp/prawn farm, seasonal cultured water body
etc. covering an area of about 774,055 ha and produces
1,726,067 MT fish and shrimp that covers 52.92% of total
production during the fiscal year 2011-2012 (DoF 2013).
There are about six hundred oxbow lakes in four greater
districts of Jessore, Faridpur, Khulna and Kushtia having
many of these concentrations in greater Jessore district
(Hasan 2003, Biswas et al. 2009 and Abdullah-Bin-Farid et
al. 2013). Total 51 baors are situated in Jessore region
(Personal communication: Mr. Haridash, Statistics Officer,
70
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Impact of diseases on fish production of baors in Jessore, Bangladesh
                                                             Dey et al.
DoF, Jessore). Total area of baors in Jessore region is
1,882 ha (DoF 2011). Though the inland closed water area
is only 16.47% of the total inland water-bodies, but
52.92% of the total yield comes from this inland closed
water area (DoF 2013).
Fishery is the second export earning sector which
contributes about 4.43% of the gross domestic product
(GDP) and it contributes 22.21% in agriculture 2.73% of
total foreign exchange income comes from Fisheries sub
sector (DoF 2012). Disease is one of the major limiting
factors to obtain the production target and among
various diseases bacterial disease in fish is a serious
threat to aquaculture system in Bangladesh. Fish farmers
have been facing great problems due to fish diseases that
cause severe damages and mortality in both culture and
wild fishes (Rahman and Chowdhury 1996). Various types
of diseases such as ulcer type disease including epizootic
ulcerative syndrome, bacterial hemorrhagic septicemia,
tail rot and fin rot, bacterial gill rot, dropsy, columnar
disease, fungal disease and parasitic disease are
important limiting factors for sustainable fish production
(Chowdhury 1997). The major fish diseases occurred in
Bangladesh are epizootic ulcerative syndrome (EUS),
different types of fungal and parasitic diseases etc.
(Chowdhury et al. 2003). Moreover, Tail rot and Fin rot
disease is also found in different fish farms and the rate of
incidence of this type of disease is assumed to be
increased in the recent years (Faruk et al. 2004).
Bangladesh has many baors and Jessore district possesses
a great portion of baor area but no remarkable work was
conducted on fish diseases in baors. So, in the present
study, impact of fish diseases on fish production of baors
in Jessore district was investigated.
METHODOLOGY
Study area and duration: The study was conducted in
various baors of Jessore district, situated in the south-
west part of Bangladesh (Figure 1). The total area of
sample baors is 1352.63 ha which covers 71.87% of total
area of baors in Jessore and the duration of the study was
March 2012 to January 2013.
Sampling framework: Sample baors were selected
randomly ensuring the inclusion of each Upazila (sub-
district, 7 in number). Bangladesh has 5,488 ha baor area
and in Jessore district the total area of baors is 1,882
hectors and thus the Jessore district contains 34.29% baor
area of Bangladesh. Twenty baors (Table 1) were selected
and primary data were collected employing effective
techniques such as personal interview (home visit), focus
group discussion (FGD), and telephonic interview.
Figure 1: Map of Bangladesh indicating the study area.
All the studied baors were managed under community
based fisheries management approach. A total of 144
farmers and concerned members were interviewed for
primary data collection. Fish production, investment and
income data were collected from the respondents during
interview.
Table 1: Surveyed baors and their areas
Name of the baors Area (ha) Name of the baors
Hamidpur
Bukvora
Koikhali
Joghati
Radhanagar
Manikdaha
Purakhali
Zhapa
Khedapara
Khatura
17.40
153.0
47.00
46.47
31.56
08.51
54.25
245.39
57.00
65.00
Hariharnagar
Morshina
Uzzalpur
Krishnachandrapur
Bergobindapur
Kharincha
Konnadaha
Rajgonj
Mohishakura
Bahadurpur
Area (ha)
21.25
21.18
24.29
21.63
226.12
94.67
36.37
37.85
22.64
121.05
Total area: 1352.63 ha
Common fishes of those baors were Labeo rohita, Catla
catla, Cirrhina mrigala, L. calbasu, Hypophthalmichthys
molitrix, Ctenopharyngodon idella, Cyprinus carpio,
Puntius spp., Colisa fasciatus, Channa punctata, C.
striatus, Salmostorma bacaila, Amblypharyngodon mola,
Mystus tengra, Notopterus notopterus, Heteropneustes
71
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Impact of diseases on fish production of baors in Jessore, Bangladesh
J Fish 2(1): 70-75, Apr 2014
fossilis, Clarias batrachus, Glossogobius giuris, Wallago
attu and Chanda ranga. The main diseases were EUS,
dropsy, gill rot and fin rot which were identified in
relation to identifying keys (Table 2). Secondary data
were collected from various government and fisheries
correlated institutions and also collected from websites
and published literatures.
Table 2: Identifying keys for various diseases
Disease Identifying keys
EUS
Abnormal swimming with project out of water;
floating listlessly near the bank; red spots on the body;
ulceration covers large area; deep hemorrhage and
necrosis with black.
Distended abdomen; straw colored inside the body;
scale protrusion; exophthalmia; inflammation of
intestine; swelling and vacuolation of hepatocytes.
Grasping; remain to the surface; lethargic; anorexic
opercula become swollen; frayed appearance of
affected gill tissues; excessive mucus secretion;
damaged opercula.
Whitening area and lesions on the fin margin; frayed
and disintegration of soft tissues between fin rays; loss
of the total fin; damaged caudal fin.
Table 3: Total fish production, total cost and total income from
the studied baors
                                               Year
                        2007 2008 2009 2010 2011 2012
HamidpurTFP23.00 27.00 34.00 38.00 42.00 45.23
               TC00.65 00.54 00.58 00.60 00.65 00.69
               TI00.75 01.16 01.05 01.23 01.35 01.40
BukvoraTFP155.0 163.0 206.0 281.0 337.0 360.5
               TC03.24 03.48 04.29 05.21 06.41 07.24
               TI09.85 12.50 13.84 14.25 19.52 20.75
KoikhaliTFP62.30 62.00 89.30 180.3 110.0 112.6
               TC01.52 01.00 01.92 01.00 01.13 01.13
               TI4.299 3.100 6.230 7.255 7.925 7.928
JoghatiTFP87.43 89.30 94.63 98.79 102.0 105.7
               TC12.98 13.89 18.01 18.79 21.77 25.30
               TI45.79 46.07 49.74 54.93 58.71 62.00
Radhanagor TFP54.60 56.72 62.33 69.02 74.33 80.01
               TC00.82 00.94 01.70 01.96 01.71 01.83
               TI03.80 03.96 04.20 04.63 05.25 05.54
Manikdaha TFP15.03 15.98 18.35 20.01 20.37 22.29
               TC00.20 00.22 00.28 00.30 00.35 00.38
               TI00.60 00.60 00.71 00.78 00.80 00.84
PurakhaliTFP42.20 52.20 63.80 73.80 108.5 115.1
               TC01.56 01.51 02.07 02.13 02.80 03.09
               TI01.54 02.49 02.96 03.17 05.62 06.05
ZhapaTFP95.03 99.50 106.8 112.1 116.3 119.7
               TC01.08 01.15 01.32 01.40 01.60 01.78
               TI05.91 06.08 06.68 07.19 07.28 07.49
Khedapara TFP51.50 59.30 91.70 114.5 116.9 125.6
               TC00.45 00.65 00.96 01.36 01.55 01.72
               TI02.06 02.97 05.28 07.14 06.74 07.20
KhaturaTFP89.25 87.00 114.2 126.8 143.3 153.2
               TC01.52 01.55 01.51 01.98 02.55 02.72
               TI04.84 04.40 06.28 07.79 08.99 09.78
Hariharnagar TFP37.70 35.50 42.60 46.20 50.20 54.70
               TC00.74 00.73 00.73 00.83 00.94 01.17
               TI02.39 02.33 02.57 02.57 02.79 02.99
MorshinaTFP29.70 21.58 28.75 27.15 31.12 34.20
               TC00.28 00.31 00.35 00.35 00.30 00.37
               TI01.53 01.62 01.83 01.43 02.20 02.70
UzzalpurTFP17.00 26.00 34.00 37.50 48.52 51.91
               TC00.24 00.28 00.42 00.47 00.62 00.71
               TI01.04 01.78 02.62 02.76 03.19 03.61
Krishnachan- TFP23.00 23.50 28.00 34.57 47.68 52.71
drapurTC00.35 00.40 00.41 00.54 00.76 00.83
               TI01.50 1.800 2.885 2.701 3.176 3.620
Bergobinda- TFP327.0 330.0 336.0 340.9 344.1 350.3
purTC04.10 04.51 05.02 05.20 05.27 05.65
               TI18.46 20.48 21.34 21.41 21.77 22.63
KharinchaTFP218.0 221.1 225.4 227.0 227.0 230.6
               TC01.91 02.20 02.11 02.31 02.35 02.50
               TI12.08 12.50 12.81 13.06 13.02 13.25
Konnadaha TFP63.60 72.72 76.33 80.02 87.33 93.57
               TC01.09 01.16 01.91 02.17 01.91 02.07
               TI03.82 04.36 05.65 04.36 05.65 06.08
RajgonjTFP54.88 56.78 69.60 74.05 86.78 92.25
               TC00.63 00.66 00.86 00.93 00.96 01.13
               TI03.13 03.29 03.80 04.43 05.22 07.08
Mohishakura TFP31.50 36.25 40.40 44.50 50.94 55.58
               TC00.50 00.58 00.65 00.71 01.02 01.18
               TI01.89 02.18 02.42 02.67 02.85 03.13
Bahadurpur TFP175.5 182.5 202.1 247.5 273.3 292.3
               TC05.01 05.11 05.83 06.31 06.74 07.02
               TI09.65 10.22 11.32 11.65 12.92 13.63
    TFP=Total Fish Production in metric tons, TC=Total cost in million BDT,
                                           TI=Total income in million BDT
Baor
Issues
Dropsy
Gill rot
Fin rot
The following equations were used for estimation of
production loss, the percentage of disease affection and
are average production loss are as follows:
Percentage (%) of production loss
=
                       
                       
100
Percentage (%) of specific disease
=
.                                              
                       
                       
                       
                       
                       
                       
                                                
                       
                       
                       
100
Percentage (%) of average production loss
=
                       
                       
100
Data analysis: The collected data were subjected to
descriptive analyses using the computer software
Microsoft Excel version 2007.
RESULTS
Total fish production, total cost and total income from the
studied baors are presented in Table 3. Total income was
increased in maximum cases between the year of 2007
and 2012. Total cost was also increased this time with
some rare exceptions (Table 3).
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72


Impact of diseases on fish production of baors in Jessore, Bangladesh
                                                             Dey et al.
No specific treatment was used in these baors for specific
fish disease and liming is the only one treatment in every
type of diseases in some baors (Table 4). In 50% baors
lime is used without calculation of the required dose. The
highest average loss from the year 2007 to 2012 has
occurred in Manikdaha Baor (1.446%) and the lowest in
Koikhali Baor (0.428%) (Table 4). Carps and other native
species were found to be affected by disease in all the
baors except Zhapa Baor where only snakeheads (Channa
sp.) were affected. The most violent disease was dropsy
(37.5%), covered the greatest portion in pie chart and
then EUS (31.25%) followed by fin rot (18.75%) and gill rot
(12.5%) in fishes (Figure 2). Because of those diseases
some loss has occurred in almost every year (Table 4). In
80% baors mortality was found noticeable (Table 4). In
50% baors lime was used as control measure of the
diseases and potash (KMnO4) was applied in only one
baor (Table 4).
Table 4: Disease status in studied baors
Baor
Hamidpur
Bukvora
Koikhali
Disease
         Existing AverageAverage % of
Time of
         treat- production lossaverage
outbreak
         ment (kg/yr)(kg/yr) loss
Liming 34871.67
-
-
420
1.204
0.839
0.428
2.700
0.484
1.446
-
-
0.858
0.925
0.531
Due to mortality for diseases total loss of production of
fishes in plotted baors was 0.513% in weight (Table 5) and
that referred 0.7599 million BDT on the aspect of the year
2012.
Figure 2: Various fish diseases recorded in baors
Table 5: Fish production and percentage of fish loss in 2012
Total
production
(MT)
45.23
360.51
112.59
105.71
80.01
22.29
115.07
119.67
125.57
153.24
54.70
34.21
51.91
52.71
350.28
230.56
93.57
92.25
55.58
292.31
2547.97
Total loss
(MT)
0.42
2.10
0.44
2.60
0.32
0.27
-
-
0.80
1.10
0.24
0.21
0.22
0.43
2.09
-
0.50
-
0.29
1.03
13.06
Name of the baors
Hamidpur
Bukvora
Koikhali
Joghati
Radhanagar
Manikdaha
Purakhali
Zhapa
Khedapara
Khatura
Harihornagar
Morshina
Uzzalpur
Krishnachandrapur
Bergobindopur
Kharincha
Konnadaha
Rajgonj
Mohishakura
Bahadurpur
Total (MT)
(%) of loss
EUS, dropsy, Dec-Jan
gill rot
EUS, dropsy, Dec-Feb
gill rot
Dec-Feb
Dec-Jan
Dec-Jan
Nov-Jan
Dec-Feb
Nov-Jan
250418.33 2100
102743.17 440
2600
320
270
           EUS, dropsy,
           fin rot
JoghatiEUS, gill rot,
           fin rot
Radhanagar EUS, dropsy,
           gill rot
Manikdaha EUS, dropsy,
           fin rot
PurakhaliEUS, dropsy
ZhapaEUS
Khedapara
 Only 96306.67
liming
   -66168.33
 Only
liming
   -
 Only
liming
 Only
liming
   -
Potash
  and
 lime
 Lime
   -
 Lime
Lime
18671.67
0.513%
75922.17 Ng
108221.67 Ng
93241.67
800
             EUS, dropsy, Dec-Jan
             gill rot
KhaturaDropsy, gill Dec-Jan
             rot
Harihornagar EUS, dropsy Dec-Feb
118955.00 1100
44483.33
236
            EUS, fin rot
            EUS, gill rot
            EUS, dropsy,
            fin rot
            EUS, dropsy,
            gill rot, fin
            rot
KharinchaDropsy
Konnadaha EUS, dropsy
RajgonjDropsy, fin
            rot
Mohishakura EUS, gill rot,
            fin rot
Bahadurpur EUS, dropsy,
            fin rot
Morshina
Uzzalpur
Krishnachan-
drapur
Bergobindo-
pur
Nov-Jan
Nov-Jan
Dec-Jan
Dec-Jan
28749.50
35820.83
34909.33
210
215
430
0.730
0.600
1.232
0.619
338046.67 2092
[MT=Metric Ton]
Nov-Jan
Dec-Jan
Dec-Feb
Dec-Jan
Dec-Jan
Lime
  -
  -
-
Lime
224841.67 Ng
78928.33 496
72390.00 Ng
43195.00
285
-
0.628
-
0.660
0.450
DISCUSSIONS
In present study, surveyed baors were stocked with
Indian major carps and some exotic carp species. EUS,
dropsy, gill rot and fin rot were the common diseases.
Because of these diseases some lose has occurred due to
death of fish in baors. Similar findings was also reported
by Frerichs and Roberts (1989), they have mentioned that
73
228855.00 1030
[Yr=Year; Ng=Negligible]
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Impact of diseases on fish production of baors in Jessore, Bangladesh
J Fish 2(1): 70-75, Apr 2014
tail rot and fin rot diseases are widely distributed in
tropical as well as temperate countries and most species
of fish are susceptible to these diseases. The major fish
diseases occurred in Bangladesh are EUS, Aeromonas
septicemia, different types of fungal and parasitic
diseases etc. affording to Chowdhury et al. (2003).
In this study, in all studied baors, time of disease outbreak
ranges from November to February (4 months) and
during this period mortality of fishes has been reported in
many baors. During December 1992 to February 1993
EUS was found in Puntius sp. and another carp in
Karnataka, India (Karunasagar et al. 1995). Various
diseases of fish were also recorded in Indian major carps
in the months November to December in Mymensingh,
Bangladesh (Baqui 1995). Necrosis, inflammation,
hemorrhage, hypertrophy, hyperplasia missing of primary
secondary gill lamellae were found within the months of
December and January in Anabas testudineus that was
recounted by Ahmed et al. (2007). So, it can be said that
fishes are susceptible to various diseases among the
months of November to February.
This was estimated that 31.25% fishes were affected by
EUS, 18.75% by fin rot, 12.5% by gill rot and 37.5% by
dropsy and totally 0.513% production loss has occurred
during the year of 2012. Most species of fish are
susceptible to tail rot and fin rot diseases and those may
cause large mortality that was stated by Frerichs and
Roberts (1989). Tail rot and fin rot diseases also reported
in C. catla and A. testudineus in some fish farms of
Bangladesh and the affected fishes showed lesion and
erosion on the tail and fins and approximately 40%
mortality was recorded in those farms (Foysal 2010).
Among the studied baors, the fish production and income
are increased with the increasing cost and/or investment
except some exceptions; some losses were occurred
between 2007 and 2012.Four diseases were responsible
for the loss of 0.513% of total fish production in the year
of 2012. In 50% disease affected baors lime was used
which was not sufficient to control the diseases.
Further study on fish diseases to find out their causes and
pathogens are recommended. An adaptable treatment
process should be developed and recommended to the
farmers so that loss of fish production due to fish diseases
could be reduced.
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