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RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 9
Research & Reviews: A Journal of Bioinformatics
ISSN: 2393-8722 (Online)
Volume 6, Issue 1
www.stmjournals.com
Post-harvest Handling and Quality Loss of Indian Major
Carps in the Distribution Channel of Noakhali District,
Bangladesh
Palas Chwakravorty1, Prianka Paul2, Amir Hossain 3,4, Saiful Islam4,
Mahabubur Rahman5, Abdulla-Al-Asif6,*
1
Department of Fisheries Management, Faculty of Fisheries, Bangladesh Agricultural University,
Mymensingh, 2202, Bangladesh
2
Department of Fisheries and Marine Bioscience, Faculty of Biological Science and Technology,
Jashore University of Science and Technology, Jashore 7408, Bangladesh
3
Department of Fisheries Biology and Genetics, Faculty of Fisheries, Bangladesh Agricultural
University, Mymensingh, 2202, Bangladesh
4
Department of Fisheries and Marine Science, Noakhali Science and Technology University,
Noakhali-3814, Bangladesh
5
Graduate Training Institute, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
6
Department of Animal Science and Fishery, Faculty of Agriculture and Food Sciences, Universiti
Putra Malaysia, UPM Bintulu Sarawak Campus, P.O. Box 396, Jalan Nyabau, 97008 Bintulu,
Sarawak, Malaysia
Abstract
Post-harvest loss of mrigal (Cirrhinus cirrhosus), catla (Catla catla), rohu (Labeo rohita) and
kalibaush (Labeo calbasu) in different distribution channel of Noakhali district, Bangladesh
were observed during the month of January 2015 to April 2015. Sensory evaluation method
was adopted in order to gather information about quality loss of fish and existing handling
condition at different stakeholder level. The observed fish were fresh at fisherman level but as
the day progress along with temperature variation fish started losing quality and most of their
quality found lost at retailer level. Fisherman supplied fish to beparies at 5% quality loss,
further 10%, 20% and 22% loss was observed through aratder, retailer and consumer
respectively. DPs varied with the month basis, compared to January–February the DPs were
higher in March–April which indicates that temperature rise cause more quality loss of fish.
Most of the fishes crossed DP 3.0 at retailer level because of long term exposure to open air
coupled with unhygienic condition of markets. Different sizes baskets were used for
transportation of fish with or without icing. Live fishes were transported with water in gallon
or drum and they could retain their shelf lifelong time than that of dead fish or fish with no
icing condition. The unsold fishes were preserved in refrigerator and re-icing was adopted by
70% retailer. The ice ratio of fish: ice was 1:1 in March–April and 2:1 in January February.
The more quality loss of fish the more ice was used. Bad handling practices due to
transportation and in markets also caused quality deterioration of some fishes. Usually post-
harvest loss of fish is not taken under the consideration which eventually because economic
loss coupled with food insecurity but proper steps to reduce loss can compensate the post-
harvest fish loss.
Keywords: post-harvest loss, Indian major carps, defect points, handling practice
*Author for Correspondence E-mail: m15160218@bau.edu.bd
INTRODUCTION
Fish is an important source of protein for
human and a bulk group of people in
Bangladesh directly or indirectly rely on it for
their livelihood [1]. A highly diversified
resources and species occupying by the
country covering an area of about 4.34 million
ha in the form of small ponds, beel (natural
depressions), lakes, canals, ox-bow lake, small
and large rivers and estuaries [2]. Fish
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circulation and marketing varies from region
to region in Bangladesh and fishes are
transported all over the country [3, 4, 5].
About 97% of the overall manufacture of fish
is promoted within for native consumption
although the enduring 3% is shipped to abroad
[6]. Marketing scheme in Bangladesh is old-
fashioned, compound and less modest, but
plays a vigorous part in linking the fish
manufacturers and customers. Post-harvest
fisheries include every activity that happen
from the time of fishing through processing up
to the final consumer [7].Value of the reaped
fishes landed for ingesting is misplaced during
harvesting and post-harvest management [4]
due to ignorance and/or negligence of the
people during harvest, distribution, processing
and trade [8], preservation methods,
transportation methods, availability of ice
during transportation and selling period, etc.
[9]. The study was undertaken to investigate
the post-harvest losses of catla (Catla catla),
rui (Labeo rohita), mrigel (Cirrhinus
cirrhosus) and calibaus (Labeo calbasu) in
different stages of their distribution and
marketing in Noakhali district for getting
information on quality deterioration and
existing handling and icing conditions.
MATERIALS AND METHODS
Study Area and Period
The study was conducted throughout different
markets of Noakhali district namely Sonapur,
Dotterhat and Maijdee municipality market.
The quality loss of C. catla, L. rohita,
Cirrhinus cirrhosus, and Labeo calbasu in the
different distribution channel of Noakhali was
observed in the month of January to April
2015 (Figure 1).
Data Collection and Stakeholder Selection
The questionnaires were administered on the
primary, secondary, and the final consumer
markets systematically to the fisher folk,
beparies, transporter, aratdar and retailer.
Primary data were collected by using
questionnaire interviews from the target group.
Secondary data were collected from various
research project, annual reports, literatures,
and from different websites.
Experimented Fish Species
For sampling Labeo rohita, Labeo calbasu,
Catla catla and Cirrhinous cirrhosis Indian
major carps were tested thirty pieces (30) for
the sensory evaluation for each species.
Method of Evaluation
The method of assessment of fish quality was
followed according to the modified method of
[10] which was based on fish loss assessment
and control tool originally developed by Torry
Research Institute, U.K. [11]. Sensory defect
points (DPs) of fishes were determined at
different distribution channel using Table 1 for
assessment of fish quality.
Table 1: Quality grading of fish against DPs.
Grade DP Grade Characteristics
A <2 Excellent, highly acceptable
B 2 to 3 Good, acceptable
C >3to<4 Deteriorating, not acceptable
D 4 to 5 Spoiled, rejected
A quality loss index (QLI) model was
followed to estimate the percent quality loss of
fish at any state of distribution channel. The
following equation was used for quality loss
index:
QLI (%) =
𝑃𝑖
N
× 100
QLI = Quality loss index
N = Number of observations
Pi = Number of calculated DP crossed quality
breaking point (QBP)
Pi =
𝑃1+𝑃2+𝑃𝑛
n
Where, ‘p’ is the number of DP (Defect
points) crossed QBP point in different lots (up
to n numbers) of same species under different
distribution channel in different fishery
regions [10].
RESULTS
Fish Quality Loss through the Marketing
Channel
Quality loss of fish was observed through the
different stakeholder level because of
improper handling, and transportation
procedure. Fisherman supplied fish to beparies
at 5% quality loss, further 10%, 20% and 22%
loss was observed through aratder, retailer and
consumer respectively (Figure 2).
Research & Reviews: A Journal of Bioinformatics
Volume 6, Issue 1
ISSN: 2393-8722 (Online)
RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 11
Fig. 1: Study Area.
Fig. 2: Flow Diagram for Fish Quality Loss through the Marketing Channel.
Utilization of Ice
Among the fisherman, only 30% adopted icing
during transporting because fish remained
fresh at this level. Whereas aratdar never used
ice because fish sold by auctioning and
remained a short period. 100% beparies, 60%
wholesaler, 80% retailer used ice (Table 2).
Utensils Used in Fish Transportation
Various utensils were used by fisher during
transporting fish to nearest markets such as
plastic baskets, plastic drum and craters whose
carrying capacity were 15–20 kg, 30 kg and
80–100 kg respectively. Live fish were
transported by plastic drums with water.
5%
10%
20%
22%
Fisherman
Beparies
Aratdar
Paikar/ Retailer
Consumer
Study
area
Noakhali district
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Utensils Used in Fish Handling
Bamboo baskets, plastic baskets, plastic
bucket, plastic drum metallic gallon, plastic
drum, aluminum tray were used for handling
purposes in the markets. Banana leaves were
used with some baskets.
Vehicles Used
Fisher who had a small portion of fish was
seen transporting fish by the cycle and the
percentage was 3%. Besides, rickshaw, van,
CNG and pickup were used for transportation
and the percentages were 5%, 9%, 37% and
40% respectively (Figure 3). When there was
remote distance and much supply of fish by
large scale farm, pickup was used.
Time of Harvesting
Time of catching of fish varied from mid night
to early morning. 35% observed fish were
caught at 3am, 37% at 4am, 21% at 5am and
7% at 6 am (Figure 4).
Elements used when Transporting Fish
At the very early morning distant areas fishes
were transported to local market by plastic
drums with water. In this way, live fish could
survive 1 hour. 29% fish were transported by
this way. Fishes which were dead due to
harvesting or lost bloom were seen transported
with icing at a rate of 39%. 32% fisher used
nothing for the transportation to near market
(Figure 5).
Storage
About 70% of fish seller adopted re-icing and
rest 30% were not for the unsold fish.
Normally retailers have no unsold fish; in case
of unsold fish they preserve them in the
refrigerator (Figure 6).
Post-harvest Loss Assessment
Post-harvest Loss Assessment of C. cirrhosus
Average DPs at this level was 1.2±0.3. At
aratder DP increased from fisherman level but
here DP also not varied from January–
February to March–April and the DP was
1.8±0.2 at January-February and 1.8±0.3 at
March-April. The variation noticed at
wholesaler level where 2.4±0.3 DPs in
January–February increased to 2.6±0.3 in
March–April. In March–April average DP for
mrigel was 3.2±0.3 but it was 2.8±0.4 in
January–February, an increased amount due to
increased ambient temperature (Figure 7).
Post-harvest loss assessment of L. calbasu
Average DPs at this level was 1.1±0.2 and
1.2±0.2 January–February and March–April
respectively. At aratder DP increased from
fisherman level but here DP varied from
January–February to March–April and the DP
was 1.6±0.2 in January–February and 1.7±0.2
in March-April. The variation noticed at
wholesaler level where 2.3±0.3 DPs in
January–February increased to 2.5±0.2 in
March–April. In March–April average DP for
calibaush was 3.2±0.2 but it was 2.8±0.3 in
January–February, an increased amount due to
increased ambient temperature (Figure 8).
Average DPs at this level was 1.1±0.2 and
1.2±0.1 respectively. At aratder DP increased
from fisherman level but here DP not varied
from January–February to March–April and
the DP was 1.6±0.2 at both the season. The
variation noticed at wholesaler level where
2.3±0.2 DPs in January–February increased to
2.4±0.2 in March–April. In March–April
average DP for rui was 3.1±0.2 but it was
2.6±0.2 in January–February, an increased
amount due to increased ambient temperature
(Figure 9).
Average DPs at this level was 1.1±0.2. At
aratder DP increased from fisherman level but
here DPs not varied from January-February to
March-April and the DP was 1.5±0.2 in
January-February and in March-April. The
variation noticed at wholesaler level where
2.2±0.3 DPs in January–February increased to
2.3±0.2 in March-April. In March-April
average DP for catla was 3.0±0.2 but it was
2.6±0.3 in January–February, an increased
amount due to increased ambient temperature
(Figure 10).
Grading of Quality of Indian Major Carps
Organoleptic behavior witnessed excellent at
around 7am at different markets but the same
lot begun to lose their quality at around 11 am.
Some lot of C. cirrhosus and L. calbasu
observed deteriorating their quality at 3 pm
(Table 3).
Fish Condition at Different Stakeholder
Level
Fish condition of at different stakeholders is
shown Table 4.
Research & Reviews: A Journal of Bioinformatics
Volume 6, Issue 1
ISSN: 2393-8722 (Online)
RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 13
Table 2: The Ice Ratio used by Different Stakeholder Level.
Stakeholder level Ice used Ice ratio (fish:ice) Source of ice Water source of ice
Yes No Winter Summer
Fisherman 30% 70% 2:1 1:1 Nearby market Deep tube well
ratdar 100% 1:1
Bepary 100% 2:1 1:1 Nearby market Deep tube well
Wholesaler 60% 40% 2:1 1:1 Nearby market Deep tube well
Retailer 80% 20% 2:1 1:1 Nearby market Deep tube well
Table 3: Grading of Quality of Fish as the day Progress at Different Markets.
Species/time 7 am 9 am 11 am 1 pm 3 pm
L. Rohita Excellent, highly
acceptable
Good,
acceptable
Deteriorating Deteriorating, not
acceptable
Deteriorating, not acceptable
C.
Cirrhosus
Excellent, highly
acceptable
Good,
acceptable
Deteriorating Deteriorating, not
acceptable
Deteriorating, not acceptable,
spoiled (in some case)
L. Calbasu Excellent, highly
acceptable
Good,
acceptable
Deteriorating Deteriorating, not
acceptable
Deteriorating, not acceptable,
spoiled (in some case)
L. Catla Excellent, highly
acceptable
Good,
acceptable
Deteriorating Deteriorating, not
acceptable
Deteriorating, not acceptable
Table 4: Condition of Fish at Different Stakeholders.
Stakeholder Species Hygienic condition Organoleptic quality Overall quality
Fisherman L. rohita Hygienic Full bloom, bright, shining Excellent
L. calbasu Hygienic Full bloom, bright, shining Excellent
C. cirrhosus Hygienic Full bloom, bright, shining Excellent
C. catla Hygienic Full bloom, bright, shining Excellent
Wholesaler L. rohita Unhygienic Slight dullness, loss of bloom Good
L. calbasu Unhygienic Slight dullness, loss of bloom Good
C. cirrhosus Unhygienic Slight dullness, loss of bloom Good
C. catla Unhygienic Slight dullness, loss of bloom Good
Retailer L. rohita Unhygienic Definite dullness and loss of bloom Poor
L. calbasu Unhygienic Definite dullness and loss of bloom Poor
C. cirrhosus Unhygienic Definite dullness and loss of bloom Poor
C. catla Unhygienic Definite dullness and loss of bloom Poor
Fig. 3: Vehicles Used for Transportation of Fish.
Pickup, 40%
CNG, 37%
Rickshaw, 5%
Cycle, 3%
Van, 9%
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Fig. 4: Time of fish harvesting.
Fig. 5: Elements Used when Transporting Fish.
Fig 6: Re-icing in fish
3.00 am 35%
4.00 am 37%
5.00 am 21%
6.00 am 7%
Ice
39%
Water
29%
Nothing
32%
Yes
70%
No
30%
Research & Reviews: A Journal of Bioinformatics
Volume 6, Issue 1
ISSN: 2393-8722 (Online)
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Fig. 7: Comparison of average DP of C. cirrhosus in January-February and March-April.
Fig. 8: Comparison of Average DP of L. calbasu in January–February and March-April.
Post-harvest Loss Assessment of L. rohita
Fig. 9: Comparison of average DP of L. rohita in January–February and March–April.
Post-harvest Loss Assessment of C. catla
0
0.5
1
1.5
2
2.5
3
3.5
4
Fisherman Aratdar Wholesaler Retailer
Jan- Feb Mar-Apr
0
0.5
1
1.5
2
2.5
3
3.5
4
Fisherman Aratdar Wholesaler Retailer
Jan- Feb Mar-Apr
0
0.5
1
1.5
2
2.5
3
3.5
Fisherman Aratdar Wholesaler Retailer
Jan- Feb Mar-Apr
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Fig. 10: Comparison of Average DP of C. catla in January–February and March–April.
DISCUSSION
Post-harvest loss of Indian major carps at
Maijdee, Dotterhat and Sonapur markets
estimated that fisherman supplied fish to
beparies at 5% quality loss, further 10%, 20%
and 22% loss observed through aratder,
retailer and consumer respectively. Similar
marketing channel was shown by the study of
[12, 5]. Fishes found good qualities which
were taken care of during transportation. The
loss was due to bad handling practice during
transportation, unhygienic condition of
landings and markets, long time exposure of
fish during selling to consumer, improper icing
etc. which is more or less similar with the
study of [13, 14]. At the market’s retailers had
a least portion of unsold fish and 70% of them
adopted re-icing. During field survey some
constraints observed like bad handling
practices and unhygienic condition, also
witnessed by [15]. In world fisheries post-
harvest loss estimated around 10%. Fish loss
to the tune of 40% in some developing
countries including Bangladesh [16]. Post-
harvest losses in the traditional fishing sector
at landing center were estimated as 4.30% for
the period under study. The loss in the sector
was mainly due to landing of low valve fish
and juveniles of oil sardine that was used for
manufacture of animal feed [17]. The
percentage of past-harvest loss for motorized
sector was 5.16 and losses occurred in this
sector mainly due to discard of juveniles in
large quantities and spoilage due to improper
icing. Pre-processing and processing channels
were crucial for fisheries sector as all fish
items meant for export marketing pass through
these channels. The overall percentage of loss
in pre-processing channel was 0.26% for fresh
fish and 0.14% for frozen fish. The loss
occurred due to faulty handling and discard of
small size fish. Loss also occurred in the
shrimp meat while washing, grading and
packing. The pre-processing centers handled
shrimp from different places outside the state
and in such a stock, black spot and
discoloration were frequently observed [18].
In the present study it was noticed that fish
remained fresh at the very beginning of the
day but as the day progress various
organoleptic changes were observed at
different fishes of major carp. Majority portion
of fish quality found good quality at the
fisherman level but when these were at
wholesaler level observed deteriorating quality
due to organoleptic changes and eventually
retailer found them almost lost their bloom or
freshness and some portion got spoiled at this
stakeholder level. At the very early morning
distant areas fishes were transported to local
market in plastic drums or gallon with water
[19]. In this way live fish could survive 1 hour.
29% fish were transported by this way. Fishes
which were dead due to harvesting or lost
bloom were seen transported with icing at a
rate of 39%. 32% fisher used nothing for the
transportation to near markets. Rapid
deterioration of quality noticed during the
month of April than February [20]. It was
because rise of temperature in summer.
0
0.5
1
1.5
2
2.5
3
3.5
Fisherman Aratdar Wholesaler Retailer
Jan- Feb Mar-Apr
Research & Reviews: A Journal of Bioinformatics
Volume 6, Issue 1
ISSN: 2393-8722 (Online)
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Whereas 90% of fish arrived at the
Visakhapatnam auction market was of good
quality. The remaining 10% was of poorer
quality. The seer fish arriving at the market,
30% was in poor condition and were also sold
for between 45 and 75% of the price of good
quality fish. This was salted and sundried. At
Chatrapathi Shivaji Maharaja Market in
Bombay they were informed that out of the
total amount of fish brought to the market, 5–
6% was downgraded for salting. In general
terms, the fish were downgraded for salting
was sold for 50% of the best quality price. The
degree of the downgrading varied according to
season, with a higher percentage of
downgrading occurred in the summer months
markets [21]. Most of the fishes lost their
quality acceptance level at the retail fish
shops. The fishes those were well taken care
off during transportation were found in good
quality. Temperature gradually increased as
the sunshine became intense. Obviously, the
rate of deterioration was accelerated by the
higher ambient temperature that resulted
higher oxidation. Organoleptic behavior
witnessed excellent at around 7am at different
markets but the same lot begun to lose their
quality at around 11am. Some lot of C.
cirrhosus and L. calbasu observed
deteriorating quality rapidly at 3pm though
water sprinkled over fishes at retail sale [22]
also found similar results. The initial
temperature was 33.0°C at 8.00 pm and
reached to 34.0°C at 5.00 pm of the day.
Preliminary ice to fish proportion throughout
the start of circulation path was 1:3. Re-icing
was not done during transportation or
auctioning. Ice was found to be completely
melted down by the time the fish reached
auction center in Dhaka. After auction, a very
little amount of ice was used by the retailers.
During retail sale, however, re-icing and
sprinkling of cold water over fish were done
[23, 24]. It was observed that fishes were in
good condition with DPs less than 3 up to
aratder and wholesalers. But when the fish
reached the retailers, DPs of many fishes
crossed the level (DP 3.0) [23]. Also found the
same result. DPs of fish varied from February
to April. Different prime distribution channel
was observed in fishes at Noakhali and found
the scenario of fish losses. Floodplain, canal
and beel were used for collection of fish but a
minute amount compared to pond. The
percentages for pond, floodplain, canal and
beel were 80%, 17%, 2% and 1% respectively.
Quality defect points of catla (Catla catla),
rohu (Labeo rohita), mrigal (Cirrhinus
mrigala), silver carp (Hypophthalmichthys
molitrix), grass carp (Ctenopharyngodon
idella) and sarpunti (Puntius sarana at
different steps in a single distribution chain
from harvest in Mymensingh to retail sale
Rangpur town which were determined using a
sensory based quality assessment tool. Percent
quality loss of fish at each step of distribution
was calculated from the number of cases that
crossed sensory quality cut-off points. Neither
of the fish lost their quality when they were in
the farm gate, during transportation and in
wholesale markets in Rangpur but most of the
fishes lost their quality at the retail fish shops.
The quality loss was 8, 12, 8, 6, 10 and 14% in
case of C. catla, C. mrigala, L. rohita, H.
molitrix, C. idella and P. sarana respectively
in the retail markets [10].
CONCLUSIONS
Major carp transportation to the city markets
from Noakhali is very minute amount and not
frequent due to inadequate supply and
inadequate facilities. Not the table size fish but
the small sizes L. rohita and C. cirrhosis were
seen transported to the city markets at a very
minute amount. Initial and final markets actors
(fishermen and retailers) have very low level
of awareness on quality loss of fish. Mid-level
actors like transporters, wholesalers and
commission agents are comparatively better
aware of fish quality. People involved in
fishing, handling, processing, selling and
transporting should have knowledge about fish
quality loss and awareness buildup among
them may ultimately compensate the post-
harvest loss.
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Research & Reviews: A Journal of Bioinformatics
Volume 6, Issue 1
ISSN: 2393-8722 (Online)
RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 19
23. Hossain MM, Rahman M, Hassan M, et
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24. Mehta NK, Shamasundar BA. Changes in
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Cite this Article
Palas Chwakravorty, Amir Hossain, Saiful
Islam, Mahabubur Rahman, Abdulla-Al-
Asif, Hafzur Rahman. Post-harvest
Handling and Quality Loss of Indian Major
Carps in the Distribution Channel of
Noakhali District, Bangladesh. Research &
Reviews: A Journal of Bioinformatics.
2019; 6(1): 9–19p.

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Post-harvest handling and quality loss of Indian major carps in the distribution channel of Noakhali district, Bangladesh

  • 1. RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 9 Research & Reviews: A Journal of Bioinformatics ISSN: 2393-8722 (Online) Volume 6, Issue 1 www.stmjournals.com Post-harvest Handling and Quality Loss of Indian Major Carps in the Distribution Channel of Noakhali District, Bangladesh Palas Chwakravorty1, Prianka Paul2, Amir Hossain 3,4, Saiful Islam4, Mahabubur Rahman5, Abdulla-Al-Asif6,* 1 Department of Fisheries Management, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh 2 Department of Fisheries and Marine Bioscience, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh 3 Department of Fisheries Biology and Genetics, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh 4 Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh 5 Graduate Training Institute, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh 6 Department of Animal Science and Fishery, Faculty of Agriculture and Food Sciences, Universiti Putra Malaysia, UPM Bintulu Sarawak Campus, P.O. Box 396, Jalan Nyabau, 97008 Bintulu, Sarawak, Malaysia Abstract Post-harvest loss of mrigal (Cirrhinus cirrhosus), catla (Catla catla), rohu (Labeo rohita) and kalibaush (Labeo calbasu) in different distribution channel of Noakhali district, Bangladesh were observed during the month of January 2015 to April 2015. Sensory evaluation method was adopted in order to gather information about quality loss of fish and existing handling condition at different stakeholder level. The observed fish were fresh at fisherman level but as the day progress along with temperature variation fish started losing quality and most of their quality found lost at retailer level. Fisherman supplied fish to beparies at 5% quality loss, further 10%, 20% and 22% loss was observed through aratder, retailer and consumer respectively. DPs varied with the month basis, compared to January–February the DPs were higher in March–April which indicates that temperature rise cause more quality loss of fish. Most of the fishes crossed DP 3.0 at retailer level because of long term exposure to open air coupled with unhygienic condition of markets. Different sizes baskets were used for transportation of fish with or without icing. Live fishes were transported with water in gallon or drum and they could retain their shelf lifelong time than that of dead fish or fish with no icing condition. The unsold fishes were preserved in refrigerator and re-icing was adopted by 70% retailer. The ice ratio of fish: ice was 1:1 in March–April and 2:1 in January February. The more quality loss of fish the more ice was used. Bad handling practices due to transportation and in markets also caused quality deterioration of some fishes. Usually post- harvest loss of fish is not taken under the consideration which eventually because economic loss coupled with food insecurity but proper steps to reduce loss can compensate the post- harvest fish loss. Keywords: post-harvest loss, Indian major carps, defect points, handling practice *Author for Correspondence E-mail: m15160218@bau.edu.bd INTRODUCTION Fish is an important source of protein for human and a bulk group of people in Bangladesh directly or indirectly rely on it for their livelihood [1]. A highly diversified resources and species occupying by the country covering an area of about 4.34 million ha in the form of small ponds, beel (natural depressions), lakes, canals, ox-bow lake, small and large rivers and estuaries [2]. Fish
  • 2. Brain Tumor Detection Using an Artificial Neural Network in MRI Images Sruthy and Arathi RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 10 circulation and marketing varies from region to region in Bangladesh and fishes are transported all over the country [3, 4, 5]. About 97% of the overall manufacture of fish is promoted within for native consumption although the enduring 3% is shipped to abroad [6]. Marketing scheme in Bangladesh is old- fashioned, compound and less modest, but plays a vigorous part in linking the fish manufacturers and customers. Post-harvest fisheries include every activity that happen from the time of fishing through processing up to the final consumer [7].Value of the reaped fishes landed for ingesting is misplaced during harvesting and post-harvest management [4] due to ignorance and/or negligence of the people during harvest, distribution, processing and trade [8], preservation methods, transportation methods, availability of ice during transportation and selling period, etc. [9]. The study was undertaken to investigate the post-harvest losses of catla (Catla catla), rui (Labeo rohita), mrigel (Cirrhinus cirrhosus) and calibaus (Labeo calbasu) in different stages of their distribution and marketing in Noakhali district for getting information on quality deterioration and existing handling and icing conditions. MATERIALS AND METHODS Study Area and Period The study was conducted throughout different markets of Noakhali district namely Sonapur, Dotterhat and Maijdee municipality market. The quality loss of C. catla, L. rohita, Cirrhinus cirrhosus, and Labeo calbasu in the different distribution channel of Noakhali was observed in the month of January to April 2015 (Figure 1). Data Collection and Stakeholder Selection The questionnaires were administered on the primary, secondary, and the final consumer markets systematically to the fisher folk, beparies, transporter, aratdar and retailer. Primary data were collected by using questionnaire interviews from the target group. Secondary data were collected from various research project, annual reports, literatures, and from different websites. Experimented Fish Species For sampling Labeo rohita, Labeo calbasu, Catla catla and Cirrhinous cirrhosis Indian major carps were tested thirty pieces (30) for the sensory evaluation for each species. Method of Evaluation The method of assessment of fish quality was followed according to the modified method of [10] which was based on fish loss assessment and control tool originally developed by Torry Research Institute, U.K. [11]. Sensory defect points (DPs) of fishes were determined at different distribution channel using Table 1 for assessment of fish quality. Table 1: Quality grading of fish against DPs. Grade DP Grade Characteristics A <2 Excellent, highly acceptable B 2 to 3 Good, acceptable C >3to<4 Deteriorating, not acceptable D 4 to 5 Spoiled, rejected A quality loss index (QLI) model was followed to estimate the percent quality loss of fish at any state of distribution channel. The following equation was used for quality loss index: QLI (%) = 𝑃𝑖 N × 100 QLI = Quality loss index N = Number of observations Pi = Number of calculated DP crossed quality breaking point (QBP) Pi = 𝑃1+𝑃2+𝑃𝑛 n Where, ‘p’ is the number of DP (Defect points) crossed QBP point in different lots (up to n numbers) of same species under different distribution channel in different fishery regions [10]. RESULTS Fish Quality Loss through the Marketing Channel Quality loss of fish was observed through the different stakeholder level because of improper handling, and transportation procedure. Fisherman supplied fish to beparies at 5% quality loss, further 10%, 20% and 22% loss was observed through aratder, retailer and consumer respectively (Figure 2).
  • 3. Research & Reviews: A Journal of Bioinformatics Volume 6, Issue 1 ISSN: 2393-8722 (Online) RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 11 Fig. 1: Study Area. Fig. 2: Flow Diagram for Fish Quality Loss through the Marketing Channel. Utilization of Ice Among the fisherman, only 30% adopted icing during transporting because fish remained fresh at this level. Whereas aratdar never used ice because fish sold by auctioning and remained a short period. 100% beparies, 60% wholesaler, 80% retailer used ice (Table 2). Utensils Used in Fish Transportation Various utensils were used by fisher during transporting fish to nearest markets such as plastic baskets, plastic drum and craters whose carrying capacity were 15–20 kg, 30 kg and 80–100 kg respectively. Live fish were transported by plastic drums with water. 5% 10% 20% 22% Fisherman Beparies Aratdar Paikar/ Retailer Consumer Study area Noakhali district
  • 4. Brain Tumor Detection Using an Artificial Neural Network in MRI Images Sruthy and Arathi RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 12 Utensils Used in Fish Handling Bamboo baskets, plastic baskets, plastic bucket, plastic drum metallic gallon, plastic drum, aluminum tray were used for handling purposes in the markets. Banana leaves were used with some baskets. Vehicles Used Fisher who had a small portion of fish was seen transporting fish by the cycle and the percentage was 3%. Besides, rickshaw, van, CNG and pickup were used for transportation and the percentages were 5%, 9%, 37% and 40% respectively (Figure 3). When there was remote distance and much supply of fish by large scale farm, pickup was used. Time of Harvesting Time of catching of fish varied from mid night to early morning. 35% observed fish were caught at 3am, 37% at 4am, 21% at 5am and 7% at 6 am (Figure 4). Elements used when Transporting Fish At the very early morning distant areas fishes were transported to local market by plastic drums with water. In this way, live fish could survive 1 hour. 29% fish were transported by this way. Fishes which were dead due to harvesting or lost bloom were seen transported with icing at a rate of 39%. 32% fisher used nothing for the transportation to near market (Figure 5). Storage About 70% of fish seller adopted re-icing and rest 30% were not for the unsold fish. Normally retailers have no unsold fish; in case of unsold fish they preserve them in the refrigerator (Figure 6). Post-harvest Loss Assessment Post-harvest Loss Assessment of C. cirrhosus Average DPs at this level was 1.2±0.3. At aratder DP increased from fisherman level but here DP also not varied from January– February to March–April and the DP was 1.8±0.2 at January-February and 1.8±0.3 at March-April. The variation noticed at wholesaler level where 2.4±0.3 DPs in January–February increased to 2.6±0.3 in March–April. In March–April average DP for mrigel was 3.2±0.3 but it was 2.8±0.4 in January–February, an increased amount due to increased ambient temperature (Figure 7). Post-harvest loss assessment of L. calbasu Average DPs at this level was 1.1±0.2 and 1.2±0.2 January–February and March–April respectively. At aratder DP increased from fisherman level but here DP varied from January–February to March–April and the DP was 1.6±0.2 in January–February and 1.7±0.2 in March-April. The variation noticed at wholesaler level where 2.3±0.3 DPs in January–February increased to 2.5±0.2 in March–April. In March–April average DP for calibaush was 3.2±0.2 but it was 2.8±0.3 in January–February, an increased amount due to increased ambient temperature (Figure 8). Average DPs at this level was 1.1±0.2 and 1.2±0.1 respectively. At aratder DP increased from fisherman level but here DP not varied from January–February to March–April and the DP was 1.6±0.2 at both the season. The variation noticed at wholesaler level where 2.3±0.2 DPs in January–February increased to 2.4±0.2 in March–April. In March–April average DP for rui was 3.1±0.2 but it was 2.6±0.2 in January–February, an increased amount due to increased ambient temperature (Figure 9). Average DPs at this level was 1.1±0.2. At aratder DP increased from fisherman level but here DPs not varied from January-February to March-April and the DP was 1.5±0.2 in January-February and in March-April. The variation noticed at wholesaler level where 2.2±0.3 DPs in January–February increased to 2.3±0.2 in March-April. In March-April average DP for catla was 3.0±0.2 but it was 2.6±0.3 in January–February, an increased amount due to increased ambient temperature (Figure 10). Grading of Quality of Indian Major Carps Organoleptic behavior witnessed excellent at around 7am at different markets but the same lot begun to lose their quality at around 11 am. Some lot of C. cirrhosus and L. calbasu observed deteriorating their quality at 3 pm (Table 3). Fish Condition at Different Stakeholder Level Fish condition of at different stakeholders is shown Table 4.
  • 5. Research & Reviews: A Journal of Bioinformatics Volume 6, Issue 1 ISSN: 2393-8722 (Online) RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 13 Table 2: The Ice Ratio used by Different Stakeholder Level. Stakeholder level Ice used Ice ratio (fish:ice) Source of ice Water source of ice Yes No Winter Summer Fisherman 30% 70% 2:1 1:1 Nearby market Deep tube well ratdar 100% 1:1 Bepary 100% 2:1 1:1 Nearby market Deep tube well Wholesaler 60% 40% 2:1 1:1 Nearby market Deep tube well Retailer 80% 20% 2:1 1:1 Nearby market Deep tube well Table 3: Grading of Quality of Fish as the day Progress at Different Markets. Species/time 7 am 9 am 11 am 1 pm 3 pm L. Rohita Excellent, highly acceptable Good, acceptable Deteriorating Deteriorating, not acceptable Deteriorating, not acceptable C. Cirrhosus Excellent, highly acceptable Good, acceptable Deteriorating Deteriorating, not acceptable Deteriorating, not acceptable, spoiled (in some case) L. Calbasu Excellent, highly acceptable Good, acceptable Deteriorating Deteriorating, not acceptable Deteriorating, not acceptable, spoiled (in some case) L. Catla Excellent, highly acceptable Good, acceptable Deteriorating Deteriorating, not acceptable Deteriorating, not acceptable Table 4: Condition of Fish at Different Stakeholders. Stakeholder Species Hygienic condition Organoleptic quality Overall quality Fisherman L. rohita Hygienic Full bloom, bright, shining Excellent L. calbasu Hygienic Full bloom, bright, shining Excellent C. cirrhosus Hygienic Full bloom, bright, shining Excellent C. catla Hygienic Full bloom, bright, shining Excellent Wholesaler L. rohita Unhygienic Slight dullness, loss of bloom Good L. calbasu Unhygienic Slight dullness, loss of bloom Good C. cirrhosus Unhygienic Slight dullness, loss of bloom Good C. catla Unhygienic Slight dullness, loss of bloom Good Retailer L. rohita Unhygienic Definite dullness and loss of bloom Poor L. calbasu Unhygienic Definite dullness and loss of bloom Poor C. cirrhosus Unhygienic Definite dullness and loss of bloom Poor C. catla Unhygienic Definite dullness and loss of bloom Poor Fig. 3: Vehicles Used for Transportation of Fish. Pickup, 40% CNG, 37% Rickshaw, 5% Cycle, 3% Van, 9%
  • 6. Brain Tumor Detection Using an Artificial Neural Network in MRI Images Sruthy and Arathi RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 14 Fig. 4: Time of fish harvesting. Fig. 5: Elements Used when Transporting Fish. Fig 6: Re-icing in fish 3.00 am 35% 4.00 am 37% 5.00 am 21% 6.00 am 7% Ice 39% Water 29% Nothing 32% Yes 70% No 30%
  • 7. Research & Reviews: A Journal of Bioinformatics Volume 6, Issue 1 ISSN: 2393-8722 (Online) RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 15 Fig. 7: Comparison of average DP of C. cirrhosus in January-February and March-April. Fig. 8: Comparison of Average DP of L. calbasu in January–February and March-April. Post-harvest Loss Assessment of L. rohita Fig. 9: Comparison of average DP of L. rohita in January–February and March–April. Post-harvest Loss Assessment of C. catla 0 0.5 1 1.5 2 2.5 3 3.5 4 Fisherman Aratdar Wholesaler Retailer Jan- Feb Mar-Apr 0 0.5 1 1.5 2 2.5 3 3.5 4 Fisherman Aratdar Wholesaler Retailer Jan- Feb Mar-Apr 0 0.5 1 1.5 2 2.5 3 3.5 Fisherman Aratdar Wholesaler Retailer Jan- Feb Mar-Apr
  • 8. Brain Tumor Detection Using an Artificial Neural Network in MRI Images Sruthy and Arathi RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 16 Fig. 10: Comparison of Average DP of C. catla in January–February and March–April. DISCUSSION Post-harvest loss of Indian major carps at Maijdee, Dotterhat and Sonapur markets estimated that fisherman supplied fish to beparies at 5% quality loss, further 10%, 20% and 22% loss observed through aratder, retailer and consumer respectively. Similar marketing channel was shown by the study of [12, 5]. Fishes found good qualities which were taken care of during transportation. The loss was due to bad handling practice during transportation, unhygienic condition of landings and markets, long time exposure of fish during selling to consumer, improper icing etc. which is more or less similar with the study of [13, 14]. At the market’s retailers had a least portion of unsold fish and 70% of them adopted re-icing. During field survey some constraints observed like bad handling practices and unhygienic condition, also witnessed by [15]. In world fisheries post- harvest loss estimated around 10%. Fish loss to the tune of 40% in some developing countries including Bangladesh [16]. Post- harvest losses in the traditional fishing sector at landing center were estimated as 4.30% for the period under study. The loss in the sector was mainly due to landing of low valve fish and juveniles of oil sardine that was used for manufacture of animal feed [17]. The percentage of past-harvest loss for motorized sector was 5.16 and losses occurred in this sector mainly due to discard of juveniles in large quantities and spoilage due to improper icing. Pre-processing and processing channels were crucial for fisheries sector as all fish items meant for export marketing pass through these channels. The overall percentage of loss in pre-processing channel was 0.26% for fresh fish and 0.14% for frozen fish. The loss occurred due to faulty handling and discard of small size fish. Loss also occurred in the shrimp meat while washing, grading and packing. The pre-processing centers handled shrimp from different places outside the state and in such a stock, black spot and discoloration were frequently observed [18]. In the present study it was noticed that fish remained fresh at the very beginning of the day but as the day progress various organoleptic changes were observed at different fishes of major carp. Majority portion of fish quality found good quality at the fisherman level but when these were at wholesaler level observed deteriorating quality due to organoleptic changes and eventually retailer found them almost lost their bloom or freshness and some portion got spoiled at this stakeholder level. At the very early morning distant areas fishes were transported to local market in plastic drums or gallon with water [19]. In this way live fish could survive 1 hour. 29% fish were transported by this way. Fishes which were dead due to harvesting or lost bloom were seen transported with icing at a rate of 39%. 32% fisher used nothing for the transportation to near markets. Rapid deterioration of quality noticed during the month of April than February [20]. It was because rise of temperature in summer. 0 0.5 1 1.5 2 2.5 3 3.5 Fisherman Aratdar Wholesaler Retailer Jan- Feb Mar-Apr
  • 9. Research & Reviews: A Journal of Bioinformatics Volume 6, Issue 1 ISSN: 2393-8722 (Online) RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 17 Whereas 90% of fish arrived at the Visakhapatnam auction market was of good quality. The remaining 10% was of poorer quality. The seer fish arriving at the market, 30% was in poor condition and were also sold for between 45 and 75% of the price of good quality fish. This was salted and sundried. At Chatrapathi Shivaji Maharaja Market in Bombay they were informed that out of the total amount of fish brought to the market, 5– 6% was downgraded for salting. In general terms, the fish were downgraded for salting was sold for 50% of the best quality price. The degree of the downgrading varied according to season, with a higher percentage of downgrading occurred in the summer months markets [21]. Most of the fishes lost their quality acceptance level at the retail fish shops. The fishes those were well taken care off during transportation were found in good quality. Temperature gradually increased as the sunshine became intense. Obviously, the rate of deterioration was accelerated by the higher ambient temperature that resulted higher oxidation. Organoleptic behavior witnessed excellent at around 7am at different markets but the same lot begun to lose their quality at around 11am. Some lot of C. cirrhosus and L. calbasu observed deteriorating quality rapidly at 3pm though water sprinkled over fishes at retail sale [22] also found similar results. The initial temperature was 33.0°C at 8.00 pm and reached to 34.0°C at 5.00 pm of the day. Preliminary ice to fish proportion throughout the start of circulation path was 1:3. Re-icing was not done during transportation or auctioning. Ice was found to be completely melted down by the time the fish reached auction center in Dhaka. After auction, a very little amount of ice was used by the retailers. During retail sale, however, re-icing and sprinkling of cold water over fish were done [23, 24]. It was observed that fishes were in good condition with DPs less than 3 up to aratder and wholesalers. But when the fish reached the retailers, DPs of many fishes crossed the level (DP 3.0) [23]. Also found the same result. DPs of fish varied from February to April. Different prime distribution channel was observed in fishes at Noakhali and found the scenario of fish losses. Floodplain, canal and beel were used for collection of fish but a minute amount compared to pond. The percentages for pond, floodplain, canal and beel were 80%, 17%, 2% and 1% respectively. Quality defect points of catla (Catla catla), rohu (Labeo rohita), mrigal (Cirrhinus mrigala), silver carp (Hypophthalmichthys molitrix), grass carp (Ctenopharyngodon idella) and sarpunti (Puntius sarana at different steps in a single distribution chain from harvest in Mymensingh to retail sale Rangpur town which were determined using a sensory based quality assessment tool. Percent quality loss of fish at each step of distribution was calculated from the number of cases that crossed sensory quality cut-off points. Neither of the fish lost their quality when they were in the farm gate, during transportation and in wholesale markets in Rangpur but most of the fishes lost their quality at the retail fish shops. The quality loss was 8, 12, 8, 6, 10 and 14% in case of C. catla, C. mrigala, L. rohita, H. molitrix, C. idella and P. sarana respectively in the retail markets [10]. CONCLUSIONS Major carp transportation to the city markets from Noakhali is very minute amount and not frequent due to inadequate supply and inadequate facilities. Not the table size fish but the small sizes L. rohita and C. cirrhosis were seen transported to the city markets at a very minute amount. Initial and final markets actors (fishermen and retailers) have very low level of awareness on quality loss of fish. Mid-level actors like transporters, wholesalers and commission agents are comparatively better aware of fish quality. People involved in fishing, handling, processing, selling and transporting should have knowledge about fish quality loss and awareness buildup among them may ultimately compensate the post- harvest loss. REFERENCES 1. DoF. Fish fortnight compendium 2012. Department of Fisheries, Ministry of Fisheries and Livestock, Dhaka, Bangladesh. 2012: 144p. 2. DoF. National fish week compendium 2003, Department of Fisheries, Ministry of Fisheries and Livestock, Dhaka, Bangladesh. 2003; 30–55p.
  • 10. Brain Tumor Detection Using an Artificial Neural Network in MRI Images Sruthy and Arathi RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 18 3. Hossain MA, Asif AA, Zafar MA, et al. Marketing of fish and fishery products in Dinajpur and livelihoods of the fish retailers. Int J Fish Aqua Stud. 2015; 3(1): 86–92p. 4. Hossain MM, Hassan MN, Lithi UJ et al. Quality deterioration of wet fish caught in Mymensingh farm in different steps of distribution channel towards Dhaka. J Bangladesh Agricul Univ. 2012; 10(2): 331–337p. 5. Rahaman MM, Zafar MA, Sharif BMN, et al. Tilapia (Oreochromis mossambicus) marketing system in greater Jessore region, Bangladesh. Int J Fish Aqua Stud. 2015; 3(2): 95–103p. 6. DoF (Department of Fisheries). Brief on department of fisheries Bangladesh. DOF (Department of Fisheries). Ministry of Fisheries and Livestoc, Dhaka, Bangladesh. 2010. 7. Ward A, Bortey A, Whittingham E, et al. Poverty and post-harvest fishery livelihoods in Ghana. Output from the Post-Harvest Fisheries Research Programme Project R8111. 1MM Ltd., Exeter, UK. 2004. 8. Nowsad AKMA. Landing center monitoring. Report on a survey on a research done in collaboration with Bangladesh center for Advanced Studies and Natural resources Studies, ECFC Field Rep-2005. 2004; 189p. 9. Hossain MM, Barman AKA. Post-harvest quality loss of small indigenous fish species in Sylhet region: ensure quality up to consumer level. J Asiatic Soc Bangladesh. 2016; 42(1): 115–125p. 10. Nowsad AKMA. Post-harvest Loss Reduction in Fisheries in Bangladesh: A Way Forward to Food Security. Final Report PR no.5/08.Food and Agriculture Organization (FAO) of the United Nations, Dhaka.FA0, 1981, Prevention of losses in cured fish. Fisheries Technical paper No.219, Rome: Food and Agricultural Organization of the United Nations, FAO. 2010. 11. Sakaguchi M. Objective and subjective methods for measuring freshness of fish. Department of Fisheries, Faculty of Agriculture, Kyoto University, Sakyo-ku 606, Kyoto, Japan. 1990. 12. Hossain A, Hossain MAR, Asif AA, et al. Fish fermentation in Lalpur, Brahmanbaria district: ecological implication and value chain analysis. Asian-Australasian J Biosci Biotech. 2017: 2 (2): 159–172p. 13. 13Islam MS, Asif AA, Sarker B, et al. Fry production and its marketing system of North-West fisheries extension project at Parbatipur, Dinajpur, Bangladesh. Asian J Med Biol Res. 2017; 3 (3): 368–378. 14. Vaumik S, Sarker SK, Uddin MS, et al. Constraints and prospects of fish farming in Lalmonirhat district. Int J Bus Soc Sci Res. 2017; 5(2): 201–210p. 15. Bostock TW. Marine fisheries of Gujarat. Post-harvest losses and possibilities for development. Rep Trop Dev Res Inst. 1987; 75: 30–32p. 16. FAO. Web site: http://www.fao.org/focus/ e/fisheries/proc.htm. 2003. 17. Hossain MA, Ali MZ, Khanam MNA, et al. Participatory rural appraisal with small indigenous species of fish (SIS) retailers in two fish markets. Prog Agricul. 2002;13: 133–138. 18. Srinath K, Nair VR, Unnithan GR, et al. Central institute of fisheries technology, post-harvest losses in marine fisheries. Fish Tech. 2008; 45: 109–111p. 19. Ray DC, Zafar MA, Alam AKMN et al. Study on freshness quality and post- harvest loss of Hilsa (Tenualosa Ilisha) during marketing in Mymensingh town, Bangladesh. J Fish. 2015; 3(2): 267–271p. 20. Majumdar BC, Rashid I. Microbiological properties of dry salted Hilsa, Tenualosa ilisha (Hamilton, 1822) fish of Bangladesh. Journal of Fisheries and Life Sciences. 2017; 2(2): 4–9p. 21. Ward AR, Papadopulos V, Khasim DI, et al. Report on a survey of fresh fish marketing between Visakhapatnam and Madras and a workshop on rapid appraisal techniques, CIFT, India, NRI Report no. R2242. 1996. 22. Asif AA, Samad MA, Rahman BMS, et al. Study on management of fish fry and fingerling marketing of Jessore in Bangladesh. Int J Bus Soc Sci Res. 2014; 2(2): 127–135p.
  • 11. Research & Reviews: A Journal of Bioinformatics Volume 6, Issue 1 ISSN: 2393-8722 (Online) RRJoBI (2019) 9-19 © STM Journals 2019. All Rights Reserved Page 19 23. Hossain MM, Rahman M, Hassan M, et al. Post-harvest loss of farm raised Indian and Chinese major carps in the distribution channel from Mymensingh to Rangpur of Bangladesh. Pakistan J Biol Sci. 2013; 16: 564–569p. 24. Mehta NK, Shamasundar BA. Changes in chemical and sensory proper ties of freshwater fish (Indian major craps) during ice storage. Prog Agricul. 2015; 15 (2): 202–207. Cite this Article Palas Chwakravorty, Amir Hossain, Saiful Islam, Mahabubur Rahman, Abdulla-Al- Asif, Hafzur Rahman. Post-harvest Handling and Quality Loss of Indian Major Carps in the Distribution Channel of Noakhali District, Bangladesh. Research & Reviews: A Journal of Bioinformatics. 2019; 6(1): 9–19p.