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Impact of diseases on fish production of baors in Jessore, Bangladesh
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Bipul Kumar Dey Md. Mer Mosharraf Hossain Sanjoy Banerjee Bappa Shirin
Akter Shoumo Khondoker
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Department of Fisheries and Marine Bioscience, Jessore
University of Science and Technology, Jessore-7408, Bangladesh
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Correspondence: Bipul Kumar
Dey, Department of Fisheries and Marine Bioscience, Jessore University of Science
and Technology;
Email: bipulkumar.jstu@gmail.com
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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.
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Keywords: Impact, fish diseases, production, baor, oxbow lake
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INTRODUCTION
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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).
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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,
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Dey et al.
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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).
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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).
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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.
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METHODOLOGY
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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.
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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.
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Figure 1: Map of Bangladesh indicating the study area.
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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.
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Table 1: Surveyed baors and their areas
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Name of the baors Area (ha) Name of the baors
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Hamidpur
|
Bukvora
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Koikhali
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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
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Total area: 1352.63 ha
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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
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J Fish 2(1): 70-75, Apr 2014
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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.
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Table 2: Identifying keys for various diseases
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Disease Identifying keys
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EUS
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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.
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Grasping; remain to the surface;
lethargic; anorexic
opercula become swollen; frayed
appearance of
affected gill tissues; excessive
mucus secretion;
damaged opercula.
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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.
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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.
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RESULTS
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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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Dey et al.
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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).
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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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J Fish 2(1): 70-75, Apr 2014
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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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|
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