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Transcript of Faculty of Agriculture - University of Nigeria, Nsukka BELIEVE, A..pdfOKPAKO BELIEVE, A. PG/M.ED/0...
OKPAKO BELIEVE, A.
PG/M.ED/07/43174
THE EFFECT OF FEEDING TIME ON THE PERFORMANCE
OF JUVENILE AFRICAN CATFISH (Clarias gariepinus, Burchell 1822)
Faculty of Agriculture
Department of Animal Sciences
Nwamarah Uche
Digitally Signed by: Content manager’s Name
DN : CN = Weabmaster’s name
O= University of Nigeria, Nsukka
OU = Innovation Centre
2
THE EFFECT OF FEEDING TIME ON THE PERFORMANCE
OF JUVENILE AFRICAN CATFISH (Clarias gariepinus, Burchell 1822)
BY
OKPAKO BELIEVE, A.
PG/M.Sc/07/43174
SUPERVIOR: DR. A. O. ANI
UNIVERSITY OF NIGERIA, NSUKKA
DEPARTMENT OF ANIMAL SCIENCE
APRIL, 2010.
i
THE EFFECT OF FEEDING TIME ON THE PERFORMANCE
OF JUVENILE AFRICAN CATFISH (Clarias gariepinus, Burchell 1822)
BY
OKPAKO BELIEVE, A.
PG/M.Sc/07/43174
A THESIS SUBMITTED TO THE DEPARTMENT OF ANIMAL
SCIENCE, FACULTY OF AGRICULTURE IN THE FULFILLMENT OF
THE REQUIREMENT FOR THE AWARD OF MASTER OF SCIENCE
DEGREE UNIVERSITY OF NIGERIA, NSUKKA.
SUPERVIOR: DR. A. O. ANI
APRIL, 2010.
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CERTIFICATION
This is to certify that the work embodied in this thesis for the degree of
Master of Science degree of the University of Nigeria, Nsukka was carried out
by Mr. Okpako Believe Ajumiyeri in the Fisheries Unit of the Teaching and
Research Farm of the Department of Animal Science of this University. This
work presented here is original and has not been submitted in part or full for any
other degree of this and any other University
-------------------------- ---------------------------
Dr. A.O. Ani Dr. S.O.C. Ugwu (Project Supervisor) (Head of department)
----------------------------------
External Examiner
iii
DEDICATION
This work is dedicated to my beloved wife Mrs. Okpako, E.O. for all that
she is to me. I truly love her and to our beloved children.
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ACKNOWLEDGEMENT
I give all the glory to God who has not only showed Himself as Jehovah
God to me but as a Father. I bow in full reverence unto Him. I immensely
acknowledge all the effort of my supervisor, Dr. A.O. Ani in making sure that
this project becomes a success. No man can reward such an unquantifiable
effort. I sincerely pray that God in His own mercy will do for him what he and
any other mortal cannot do for him in all areas of life. My sincere gratitude goes
to all the staff of the Department of Animal Science who contributed in one way
or the other to the success of this project.
I appreciate my beloved and dearest wife for being there for me
throughout the period of this program. The good God that sees in secret will
reward her openly. I also appreciate our parents for their counsel and prayers. I
cannot forget my Pastors: Rev. W.G. Umukoro and Pastor Dr. Jovi Loyalty for
all the spiritual guidance I received from them. My thanks also go to my
brothers and friends; Deacon Chukwuyenum Emmanuel and Deacon Egbago
Mike for all their supports. My colleagues in the department are worthy of note
especially Mr. Gajah Omawumi. I thank all of them for their numerous
supports.
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ABSTRACT
The experiment was conducted to investigate the effect of feeding time on the
performance of juvenile African catfish (Clarias gariepinus, Burchell 1822).
The experimental fish were randomly assigned to four treatment groups
(different feeding time intervals) of 60 fish each in a completely randomized
design (CRD). Each treatment was replicated three times with 20 fish per
replicate. The fish were fed with extruded fish feeds (Catco® fish concentrate)
at 3% of the fish body weight. The four treatments (feeding time) were T1 -
once a day feeding time of morning hours (07.30 to 08.30) only, T2- once a day
feeding time of afternoon hours (12.30 to 13.30) only, T3- once a day feeding
time of evening hours (17.00 to 18.00) only and T4- twice a day feeding time of
morning hours (07.30 to 08.30) and evening hours (17.00 to 18.00) only for
twelve weeks. There were significant difference (P<0.05) among treatments in
fish’ final body weight (223.63g, 200.13g, 196.33g and 168.17g for T4, T1, T3
and T2, respectively), mean total body weight gain (208.97g, 184.83, 181.07g
and 153.41g for T4, T1, T3 and T2 ,respectively), mean daily body weight
gain (2.60g, 2.20g 2.16g and 1.83g for T4, T1, T3 and T2, respectively),
specific growth rate (SGR) of 1.41,1.33, 1.32 and 1.26 for T4, T1, T3 and T2,
respectively) and daily feed intake (3.27g, 3.09, 2.95g and 2.54g for T4, T1, T3
and T2, respectively). There were also significant differences (P<0.05) among
treatments in water temperature (26.13 o
C, 25.50oC, 26.43
oC and 28.10
oC for
T4, T1, T3 and T2, respectively). However, there were no significant
differences (P>0.05) among treatments in dissolved oxygen (7.1 mg/l, 6.8mg/l,
7.3 mg/l and 7.5 mg/l for T1, T2, T3 and T4, respectively), water pH (7.1), feed
cost per kg weight gain (N390.00, N380.00, N379.00 and N368.00, for T1, T2,
T3 and T4, respectively) and mortality rate of fish (13.38%, 11.67%, 10.00%
and13.3% for T1, T2, T3 and T4, respectively). It is evident from the result
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obtained in the present day study that the growth performance of African catfish
(Clarias gariepinus, Burchell 1822) fed twice a day (in the morning and
evening hours) was superior to the performance of those fed once a day
especially those fed in the afternoon hours only.
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TABLE OF CONTENTS
Title page i
Certification ii
Dedication iii
Acknowledgement iv
Abstract v
Table of contents vii
List of Tables ix
List of Figures x
CHAPTER ONE: INTRODUCTION
1.1 Statement of Problem 2
1.2 Aims and Objectives of Study 2
1.3 Justification 3
CHAPTER TWO: LITERATURE REVIEW
2.1 Importance of Fish Farming In Nigeria 4
2.2 Description and Classification of the experimental fish 4
2.3 Feeding Behaviour of Catfish 6
2.3.1 Environmental Feeding Factors 7
2.3.2 Fish Physiological Factors 8
2.3.3 Feeds Factors 10
2.4 Fish Feeding Practice 11
2.4.1 Forms of Fish Feeds and Feeding Stuffs 11
2.4.2 Fish Nutritional Requirements 12
2.4.3 Fish Feeding Rates 14
2.4.4 Feeding Regime 15
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2.5 Stocking Rate 16
2.6 Pond Water Quality Management 17
2.6.1 Physical Factors of Pond Water Quality 18
2.6.2 Chemical Factors of Pond Water Quality 21
CHAPTER THREE: MATERIALS AND METHODS
3.1 Location 32
3.2 Materials 32
3.3 Management of the Experimental fish 33
3.4 Experimental Procedures 34
3.5 Parameters measured during the Experiment 34
3.6 Experimental Design 35
3.7 Calculations 35
CHAPTER FOUR: RESULTS AND DISCUSSION
4.1 Growth Performance of African catfish fed at different time
Intervals 36
4.2 Body length of African catfish fed at different time intervals 37
4.3 Physico-chemical characteristic of treatments ponds 37
4.4 Cost implication of feeding African catfish at different time intervals 41
CHAPTER FIVE: SUMMARY AND CONCLUSION
5.1 Summary 42
5.2 Conclusion 43
5.3 Recommendations 43
REFERENCES 44
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LIST OF TABLES
Table 1: Nutritional Composition of the Experimental Diet 32
Table 2: Growth Performance of African catfish fed at different 39
time intervals
Table 3: Body Length of African catfish Fed at Different Time Intervals 40
Table 4: Water Temperature, Dissolved Oxygen and pH at Different 40
Time Intervals
Table 5: Cost Implication of Feeding the Fish at Different Time 40
Intervals
x
LIST OF FIGURES
Fig 1: Pictorial View of the African catfish (Clarias gariepinus, Burchell 1822) 6
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CHAPTER ONE
INTRODUCTION
Aquaculture, the farming of aquatic organisms including fish, molluscs,
crustacean and aquatic plant is necessary to meet the protein need of Nigerians.
Over time, there has been increase in fish production in Nigeria. Bello (2007)
and FAO (2005) reported increase in fish production in 2005. According to him,
the artisan fish production level grew by 5.4%, aquaculture fish production by
43% and industrial fishery through the use trawlers by 12% over the previous
years. However, of this increase in fish production, the desired result has not
been attained. Quantitatively, details of fish production as at 2005 stood at
490,600 tonnes from the artisan fishery, 56,300 tonnes from industrial fishery
through the use of trawlers; while fish importation stood at 61,150 tonnes. In
meeting up with the growing need for fish production, aquaculture practice has
been identified as a possible alternative. The reasons being that the activities of
artisans and industrial fishery in our natural waters have led to over exploitation
and degradation due to human activities in our coastal water. To fully bring
aquaculture to its desired level, four production challenges have been identified.
These are the challenges of feeding the fish stock in the pond, management of
pond water quality, fish seeds provision and pond construction/establishment.
The first two challenges: fish feeding and water quality management affect each
other. The level of feeding of the stocks affects the water quality and the level
of water quality affect the feeding performance of fish in the pond (George,
2001). Fish like other animals need food to be able to carry out their metabolic
activities. In aquaculture, fish feeding is either supplemental or complete (total
supply). Supplemental feeding is when feeds are given to the animal at a
minimal level to add to the natural food available for the fish in the pond water.
These natural foods are in the form of phytoplanktons and zooplanktons. The
complete feeding is when the source of food fed to the fish is solely supplied by
the farmer. In whichever case, the type of feeding practiced depends on the
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nature of the pond and the type of production the farmer is involved with
(Michael, 1987). The most popular cultured fish in Nigeria is the catfish. It is
naturally carnivorous, a bottom pond dweller, nocturnally very active and
belongs the family of Claridae (William, 1967; Idodo-Umeh, 2003). However,
with the fish domestication, its modes of feeding and activities have been
destabilized and modified. To this end, the feeding regime has become diverse
but the thumb rule of feeding stock at optimum level should be very economical
so as to have savings in feed cost and the overall economic justification.
Webster et al. (1992) reported that catfish can be fed once or twice daily and
rainbow trout at three times a day. In whichever case, the type of production,
climatic condition and economic status of the farmer dictate the feeding
requirement
1.1 Statement of the Problem
According to Raven and Walker (1978), a major problem facing fish feed
manufacturers and fish nutrition is the increasing competition for the same
feeding stuff between man and the fish feed industry due to their conventional
status. This has brought about the high price and scarcity of such feed stuffs.
Various studies have been done in fish feeding (Sena S. De Silva and Brain F.
Davy, 1992 and Collins and Delmendo, 1979) but much is still to be done in the
area of the best time of the day to feed catfish so as to have good growth
performance that will justify the high cost of feeds provided by the farmer. This
will help to forestall the problem of feed wastage and water deterioration (Norm
Meck, 2000).
1.2 Aims and Objectives
1. To determine the growth response of juvenile catfish fed at different time
intervals of the day.
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2. To determine the best time of the day to feed the African catfish for optimal
performance.
3. To determine the effect of feeding the African catfish at different time
interval of day on fish mortality.
4. To determine the effect of time of feeding the catfish on some physico-
chemical properties of the pond water.
5. To determine the cost implication of feeding juvenile catfish at different time
intervals of the day.
1.3 Justification
It is a known fact that the cost of feeding fish is very high through the
adopted options such as using self formulated feeds or commercial feeds,
supplemental feeding or complete (total) feeding. Determining the best time of
the day to feed the catfish will therefore help to maximize performance,
discourage waste and ensure the success of the enterprise. This will help to
discourage the deterioration of water quality which may arise from the
decomposition of feeds fed to the fish due to feeding at inappropriate time. This
will help to minimize fish mortality due to pond water quality deterioration. The
overall production of the stock will also be enhanced.
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CHAPTER TWO
LITERATURE REVIEW
2.1 Importance of Fish Farming in Nigeria
Fish farming is fast becoming the bail out point of the protein need of
Africans and Nigerians in particular. Thomas et al. (2006) and Edwin et al.
(2009) posited that fish is the highest contributor of animal protein in Nigeria
with over 34% of all the animal protein sources in Nigeria. This accounts for the
leading position of Nigeria in fish production in Africa from 1999 to date both
in volume and value. In this scenario, the production ecology has it that fish
production from brackish water is about 0.60%, fresh water 72.3% and marine
water 27.1%. Of all these production level, catfish (Clarias spp) ranks the
highest of the cultured fish in Nigeria with about 33%, Oreochromis species
13%, Channa species 4%, Heterotis species 4%, Synodontis species 3%,
Cyprinids 1% and others in the likes of Gymnachus niloticus, Citherinus
species,Hepsetus odeo and Papychranus afer recording about 22%. As a result
of this level of production, Nigeria ranks top in Africa in the use of aqua feed
both of local and exotic sources (Shipton and Thomas, 2005). With this current
status of production in Nigeria, fish farming is still being faced with four major
challenges. These are the challenges of pond construction and other water
holding vessels, feeding and nutrition, quality and volume of fish seeds and
water quality management.
2.2 Description and Classification of the Experimental fish
The African catfish (Clarias gariepinus Burchell, 1822) locally referred
to as mudfish belongs to the Phylum Chordata; Class Osteichytes; Order
Siluriformes; Family Clariidae and Genus Clarias. In Africa, more than one
hundred different species (100) have been identified for which about nine
species features prominently in African aquatic ecology. These are the Clarias
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gariepinus, Clarias anguillaris, Clarias pachynema, Clarias macromystax,
Clarias agbonyiensis, Clarias buthupogon, Clarias lazera, Clarias
macracanthus and Clarias tsanensis (Graaf et al. 1995 and Idodo-Umeh, 2003).
Mophologically, the Clarias gariepinus is a scale less fish with smooth
skin and soft ray fin, dorsal-ventrally flattened bony head and elongated body
(Yinka et al. 2005 and Idodo-Umeh, 2003) Its dorsal fin has about 61-80 rays
and anal fin of 50 -65 rays. Its head is between rectangular and pointed dorsal
outline with broad snout. It is often described as depressed and long body
shaped fish. The eyes are positioned in the flat depressed head and are relatively
small in size. The depth of its body is 6-8 times its standard length. Its teeth are
vomerine, granular, fine, and are arranged in rows. These common species of
Clarias possess characteristically elongated four pairs of barbells like the cat
whiskers which are 20-50% as long as the head when the fish is longer than
30cm and 50-80% of the head when the length is smaller in size. The Clarias
gariepinus has a number of gill rakers which are long, slender and closely fitted
of about 24 -110 in numbers that increases as the fish grows. The fish has short
dorsal fins that extend as far as to the caudal fin. The pectoral fin extends from
the operculum to below the dorsal fin ray. Its lateral line is swap with white
colouration extending from the posterior end to the middle of the caudal fin
base. The fish has two characteristic colour of dark grey greenish black colour
at the dorsal part while the ventral part is predominantly white. In some
modification, some of them shows band of pigmentation on both side and
irregular black sports (William, 1967; Idodo-Umeh, 2003).
Ecologically, Idodo-Umeh (2003) confirmed that the Clariidae can be
found in stagnant water, lake, pool, and running water body. They are hardy
such that they can survive wide range of extreme aquatic conditions. This
distinct characteristic is traced to their accessory breathing lungs that
compliment their gills which enable them to live several hours outside water
body. The fish is very active at night, a bottom feeder and omnivorous in its
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feeding pattern. However, they also exhibit predatory behaviour mostly at night
hence they are mostly referred to as nocturnal fish and do not reproduce in
captivity. Naturally therefore, they are involved in migratory breeding during
the onset of rains where they move from deep water to shallow water especially
with running water. In captivity in pond, they often wriggle out of the body of
water to carry out land excursion for a long distance.
Fig 1: Pictorial view of the African catfish (Clarias gariepinus, Burchell 1822)
2.3 Feeding Behaviour of Catfish
Feeding is a complex behaviour of animals including fish. In fish, it
involves several responses associated with eating including modes of feeding
and feeding habits, mechanism of feed detection, frequency of feeding and
preferences of feed provided or found. Fish feeding behaviour ranges from
plant and detritus feeders to predatory feeding. Some fishes based on their
feeding behaviour have become dormant feeders by the fact that they remain in
one spot and source of feeds. Others are sub-dormant feeders which generally
could move away from spot or source of feed or aggressive areas and some are
also sub- ordinate feeders in behaviour. These can stay out of feeding spot or
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source and still survive on whatever feed items that pass their way (Sunil,
1999). In addition, Colgan (1993) classified some fish as “generalists” feeders,
highly specialized feeders and opportunistic feeders. It also added that hunger
is one great factor that stimulate fish feeding behaviour and that feeding
initially occur at a faster rate in starved fish and degreases as feeding increases.
This is thus in support of restriction feeding and skip a -day feeding practice.
Sorum et al. (2003) informed us that aggression is one feeding behaviour that
could be fixed owe to threat display and fight and every fish has it’s owe life
strategy. These different characteristics response to fish feeding behaviour are
due to three factors that have been identified as factors that affect feeding
behaviour of fish. These are the environmental factors, fish physiological
factors and the feeds factors.
2.3.1 Environmental Feeding Factors
Helene and Richard (2006) identified this factor to be the pond or vessel
water physico-chemical factors such as water temperature, pH, salinity,
dissolved oxygen, environmental photoperiod and the structure of the habitat
like presence of predators, nature of the habitat ( natural or captivity) and the
stock density of the habitat. NRC (2009) reported the influence of water
temperature on the feed intake of Rainbow trout (Salmon gairdneri) where feed
intake increased with increase in temperature from 5oC to 20
oC while below
5oC, feeding activities was low. Yeamin et al. (2007) and Boyd (1982) reported
that in the tropics cultured fish will feed well within the water temperature range
of 26oC and 31.97
oC. In a similar vein, Biswas and Takeuchi (2003) reported
the influence of photoperiod and temperature on tilapia feeding habit. Feeding
will be higher at longer day than at shorter day when temperature is at optimal
level. NRC (2009) confirmed that various fish species respond to different water
salinity level. Feeding activities of the Rainbow trout is highest at 15 to 25%
level of salinity but for fresh water fishes, the higher the salinity the lower the
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feed intake. It also added that oxygen concentration in water affects feed in take
of fish. When dissolved oxygen in water is high, feeding activities will be
higher and vice versa. Cruz et al.(2000) and Davies et al.(2006) opined that
dissolved oxygen lower than 2mg/l and the water pH range of 5-8 are ideal for
normal feed intake of fish when all other factors are at optimum level. These
water parameters dictate the stress behaviour of fish and their subsequent
reaction. Dissolved oxygen in water will be higher if the ammonia level is low
and the major source of ammonia in pond water is from fish feeding practice
and fish faecal droppings. On the influence of fish habitat of feeding, Paspatis et
al. (2003) indicated that feeding activities of fish will be lower when predators
are present and that social interaction plays another prominent role when fish
are fed in captivity such as pond environment. Fish seems to feed better when
they are fed in group even when the feeds are limited than when alone and the
feed is much. They also reported that proximity to sources or location of feeds
has a marked impact on feed intake. Feeding is highest when feeding spot is
nearer that when far.
2.3.2 Fish Physiological Factors
Various fish physiological states have been identified to affect feeding
behaviour and intake of fish. These physiological factors are in the area of fish
neuro-endocrinological factors and they include stimulations in the fish,
hormonal activities and the different physiological state of the fish. Reporting
the effect of stimulation in the feeding behaviour of fish, Kasumyan (1995) said
that fish exhibits chemosensory behaviour through tactile (touch), gustatory
(taste), olfactory (smell), visual (sight) and auditory (hearing) stimulations as in
other farm animals. These various stimulations are hormonally driven and that
Rainbow trout can even discriminate between diet with fish oil and vegetable
oil. Specifically, the endocrines and the metabolic activities of the fish function
in the characteristic behaviour of feeding. Higgs et al. (1982) reported the
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cessation of feeding by a number of fishes during the reproductive season and
this is traced to migratory activities of the fish and hormones responsible for
reproduction like the estrogen. They also harped on the fact that thyroid
hormone helps to increase the rate of absorption of some nutrients in the guts
thereby enhancing feed conversion efficiency and growth. Similarly, one major
effect of the thyroid hormones is its ability to increase the action of other
hormones like the growth hormones. NRC (2009) showed that a prolactin
hormone affects the diurnal variation of plasma fatty acids in Pacific salmon
fish. These high blood fatty acids can suppress feed intake as common to other
farm animals. The activities of prolactin are believed to be activated by
thyrioxinic or cortisol hormones and this hormonal circle in fish endocrine
system affects feed intake. It is further added that a variety of fish species shows
appreciable changes in plasma insulin level in response to fluctuation in plasma
nutrients. However, the possible influence of insulin and other hormones like
cholecystokinin (CCK) and cerebrospinal fluid insulin are associated with feed
intake and nutrient assimilation. Helene and Richard (2006) confirmed that
cholecystokinin (CCK), gastrin releasing peptide (GRP), ghrelin, glucagons-like
peptide, insuline and leptin are the peripheral factors controlling feed intake.
With the exception of gastric releasing ghrelin, all others serve as satiety signal
to reduce meal size feed intake and feed behaviour.
One other physiological factor that control fish feeding behaviour is the
metabolic activities that take place in the brain which is the Central Nervous
System. Some metabolites in the brain that have bearing to feed intake and
behaviour according to Wynne et al. (2005) are the neuropeptide Y (NPY),
orexins, melanocortins like proopimelanocortin (POMC),agouti-related protein
(CRH), melanin-concentrating hormones (MCH), etc. These peptide system
interactions with each other are very sensitive to signals from the periphery thus
allowing the hypothalamus to sense the status of energy usage and intake. The
Neuropeptide Y (NPY) structure is common in several fish including the catfish
10
and is found in the brain and gut. It is involved in the regulation of feed intake
in fish.
2.3.3 Feeds Factors
This involves the influence of the feed in its composition, size and texture,
forms, preparation, etc on the fish ability to accept the feed provided by the
farmers. Many feed factors have been identified to influence feeding behaviour
and feed intake of fish. Wilson (1994) and Lupatsch et al. (2001) confirmed that
level of digestible energy in a feed has control on feed intake as fish tends to
adjust feed intake in order to satisfy their energy need. It is reported that
Rainbow trout fed low energy feed grew at equal growth rate as those fed with
high energy diet by increasing their intake. It is confirmed that fish feed to
satisfy their energy need and metabolic energy need is the main controlling
factors (Lee and Putnam, 1973). Similarly, NRC (1983) showed that thiamine or
zinc deficiency in a diet can cause anorexia and this depressed state can lead to
reduction in feed intake by warm water fishes. In other words, feeds that are
deficient in nutrients based on expected feed regime of the fish at its expected
physiological state, lower feed intake. Another feed factor that can control feed
intake in fish is the size of the feed fed to the fish based on the size of the fish in
relation to the mouth size. NRC (2009) reported that growth was faster in
Atlantic Salmon fish fed with feed size with the diameter of 2.2 to 2.6 % of
their body length than those fed with feed of a particle size of 6-8% of body
length. It is further added that feed size below 2.2% body length lower feed
intake as the fish spend time in selecting feed to consume. In this direction,
Michael (1987) recommended that fish size of 0.02 to 0.25g be fed with 0.42 to
0.84mm pellet feed, 1.5 to 4.0g size be fed with 1.4 to 2.8mm feed size. Thus
feed intake will be higher on pellet feed than powder feed and it should be of
the right feed size. Presence of toxin in feed is another factor that determine
feed intake. These toxins can be from the manner the feed was stored after
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processing and from the feed stuffs (Michael, 1987). Piper et al. (1982) reported
that oxidized fish and vegetable oil in formulated feeds can lead to low feed
intake by fish. Some of these toxins are the gossypol from cottonseed source,
protease from soybeans source afla-toxins from groundnut feed source, etc.
They also added that man made contaminants like pesticides, herbicides and
other chemicals present in feed can lower feed consumption by fish.
2.4 Fish Feeding Practice
Culturing fish under captivity for which pond and other aquatic
environment are inclusive, need sound and adequate feeding practice. This
feeding should be able to engender good feeds utilization and intake else slow
growth or death of stocks may eventually occur. Thus to have good growth and
break even in fish culture as a business, the form of the feed in use,
formulation, feed regime, ration size, time of feeding, prevailing water quality
and other factors should be well considered (Jonathan and Niall, 1988).
2.4.1 Forms of Fish Feeds and Feeding Stuffs
The use of formulated feed in enhancing fish productivity in pond is very
essential and these feed must be in the right forms of preparations. The
preparation of fish feeds are classified based on the moisture content of the feed,
feed buoyancy, shape, appearance and the stocks they are made for. Michael
(1987) said that feed preparation based on moisture content of the feed are
classified into dried, moist, wet feed and crumbs. That the dry feeds has about
10% moisture content, moist feed with 30-40% moisture contents and wet feed
above 50% moisture contents. In feeding practice, dry and moist feeds are very
common and have excellent result than the others. Again, dry feed are easily
made in large scale, easier to store, transported and fed to the fish than the rest.
Thus they are more palatable, attractive and easily ingested by the fish than the
wet and crumbs (Cruz et al. 2000).
12
On feed preparation based on buoyancy, there are the floating and the
sinking feeds. While the floating feed when fed float on the water, the sinking
feeds go down the water base. In whichever forms, both gives adequate growth
under normal condition. However, performances of floating feeds are high
though expensive. It is also reported that a mixture of 15% floating feed and 8%
sinking feed can be made (Zakes et al. 2006). These feeds in any moisture
content and buoyancy are in various shapes of pellets, crumbles, granules, balls,
cake etc and are fed to the fish based on the fish size also (Michael., 1987;
George., 1986 and Michael et al. 1999).
2.4.2 Fish Nutritional Requirements
Feeding fish can no doubt increase fish production. In feeding fish,
greater challenges exist than in feeding terrestrial farm animals as the feeding
behaviour of the farm animals can easily be monitored than fishes which dwell
in water. In feeding fish, the nutritional requirement changes with the
physiological changes that occur in the fish and in whichever stage, the fish
nutritional needs comprise protein, carbohydrates, fats, vitamins and minerals.
These in their formulation should be balanced to meet up with their growth need
and targets (Aqualex, 1996). Similarly, Cho (2004) added that feeding standard
which is the feeding practice employed to deliver nutritionally balanced and
adequate amount of diet to the fish to enable them maintain normal growth and
reproductive potentials together with efficient growth and or performance of
work should be high. Until now feeding of fish has been based on instinct and
folkloric practice and this has not met the nutritional requirement of the fish.
Quantitatively and qualitatively speaking, fish need protein of high value
of essential amino acids as fishes are efficient in the use of protein for growth
and reproduction. The dietary protein requirement of fish varies from species.
Rainbow trout (Salmon gairdneri) needs 40-60% of protein, channel catfish 30-
36%, carp (Cyprinus carpio) 38%, African catfish 35-45%, etc. The protein
13
requirement of fish is higher compared to other farm animals like poultry. This
is because they are naturally more efficient in eliminating nitrogenous waste in
the form of soluble ammonia compounds through the gills tissues directly into
the water and use less energy as a result of less activity, thus the proteins are
converted more to flesh (ADCP, 1980). It should be added that the protein need
of fish is influenced by various factors such as size of the fish, water
temperature, feeding rate, availability of planktons in the water, energy level of
the feed and the quality of protein in term of its amino acids composition. As
important as this nutrient is, its deficiency has been noticed. This ranges from
poor feed efficiency, poor growth rate to poor utilization of other feed nutrients
(Jonathan and Niall, 1988)
On the energy need of fish, Cho (1990) reported that energy is not a
nutrient rather it is an end product of absorbed macro nutrient when oxidized
and metabolized. It is added that most carbohydrate sources such as starch from
plant sources are not utilized as energy sources but as simple energy. Therefore
lipids and protein provide the energy need of the fish. Physiologically, lipids
and protein help to form important structures of the fish but the need for energy
can prevent their incorporation into the body tissue and may involve their
catabolism as source of energy. Thus, the utilization of the nutrients depends on
the level of intake and the make up of the diet. The over riding important of
food as an energy source means that the major factor regulating the food intake
of the animal is its energy value in relation to the animal energy need (Yinka et
al.2005). In the same vain, Jonathan and Niall (1988) added that the
carbohydrates consumed by fish are digested by several enzymes as in other
higher terrestrial animals. The mechanisms of using carbohydrate vary between
carnivorous and omnivorous species. Among the carnivorous species are the
carp, catfish, eel, etc which can ingest 80% starch as against carnivorous species
like Rainbow trout which are poor in starchy feed stuff utilization due to
inaction of several enzymes involved in digestion and catabolism of
14
carbohydrate. According to Graaf et al. (1995), the digestible energy need of
fry and fingerling is 3.0 - 4.0 Kcal/g, growers 2.5 - 3.5 kcal/g and broodstock
3.0 - 4.0 kcal/g. ADCP (1980) added that the energy need of fish depends on
temperature of the water, water flow, fish body size, level of feeding and water
chemical quality level.
Lipids are other nutritional need of fish. These are also source of energy
as 1g of lipid yields 9 kcal of energy. During digestion, lipids are broken down
into fatty acids and glycerol components which are absorbed by the fish. Body
fats are synthesized from excessive fatty acids and glycerol and are stored in the
subcutaneous tissue, muscle, space between connective tissue and abdominal
cavity (Michael, 1987). The deficiency of these nutrients has been linked to skin
discolouration, fin erosion, fatty liver, poor growth among other. Lipids tend to
deteriorate through oxidation producing substances that are toxic to fish and
destroy vitamin E. When fish feed are made with rancid fat (oxidized lipid),
incidence of muscular atrophy, weight loss and neutrality can result (NACA,
1989). Fish also need vitamins and minerals as nutrients for their normal
physiological function of growth and maintenance of body metabolism through
there enhancing of feed intake. These are specially included in the feed as
premix with varying composition (NACA, 1989; Graaf et al. 1995 and ADCP,
1980).
2.4.3 Fish Feeding Rates
Fish like other farm animals need feed to grow. This feed must be
balanced in nutrients and be well offered to the fish as poorly balanced feeds
cause more problem than the expected gains. This is one of the problems of fish
feeding. Feeding beyond that which the fish can consume is feed waste and it
also deteriorates water quality. Catfish will grow to their maximum endowment
when fed at near appetite capacity. They can grow efficiently when fed at 90%
of all they can eat voluntarily. This optimal level is generally achieved when
15
they are fed what they can eat within ten minutes feeding intervals (George,
1986). It is thus advised that the stock should be fed based on their biomass.
Michael (1987) opined that feeding rate should not be steady through out the
projected growing period of the fish. That the biomass feeding rate should be
adjusted as the fish grows. It recorded that fish of 5g be feed with 7.0%
biomass, 10g of fish with 6.7%, 15g with 6.3%, 20g with 6.0%, 50g with 5.0%
and 100g with 4.0%. In addition, Lovell (1989) indicated that farmers can feed
their stocks on a steady feed rate of 3 - 4% biomass, Davies et al. (2006)
reported the use of 5.0% biomass for catfish while Ruszynski (2003) reported
the range of 4 -8% biomass and that this rate depend on climatic photoperiod,
ration type and pellet size. The idea behind these various recommendations of
feeding rate is to avoid overfeeding as over-feeding leads to economic feed
waste, water pollution, low dissolved oxygen, increase biological oxygen
demand and increase pond bacterial load. Thus fish should be fed only the
amount they feed in a time not exceeding twenty five minutes feeding interval.
Steve and Helfrich (2002) harped on the use of extruded feed that afford the
observation of the fish while feeding. However, with the recommended feeding
rate, about 10 % of feed fed end up as waste, 10 -30% as faecal and liquid
waste. Of the remaining feed consumed, 50% of it is used for growth and 50%
for metabolic activities.
2.4.4 Feeding Regime
Feeding management is greatly influenced by two major factors; the
feeding rate and feeding regime. Feeding regime is the set time and frequency at
which the feed is administered to the fish in the presence of a prevailing
management condition (Aqualex, 1996). Feeding fish is labour intensive and
expensive, thus the feeding frequency is determined by labour availability, farm
size, cultured species and size of stock. Large catfish farms with many unit
ponds usually practice a once a day feeding due to time and labour, while
16
smaller farmers may feed twice a day. Generally, growth and feed conversion
increase with feeding frequency (Steve and Helfrich, 2002). This view was
collaborated by Mostafa et al. (2002), that feeding can be as many times as
possible within 24 hour time but their growth rate is greatly affected by time of
feeding due to voluntary feed intake of the fish and aquatic condition in which
the fish are being fed. George (1986), Michael et al. (1999) and Michael et al.
(2005) reported that feeding fish twice a day can be more advantageous. When
stocks are fed twice a day especially at the least time intervals of six hours,
catfish can eat and gain more weight than when fed once a day and they are
more voracious and vigorous in feeding. It is added also that feeding in the
morning hours is a good practice because the water temperature is usually low
and cool. It is also added that feeding after sun set should be discouraged
because of the incidence of high demand for oxygen by the fish for metabolic
activities and the competition for oxygen by the phytoplankton in the water for
their normal respiration activities at dawn. It is stated that the level of oxygen at
this time of the day (6.00 pm to 6.00 am) is low (Boyd, 1982). It has been
shown that once the time of feeding has been established in a production period,
it should be maintained as catfishes easily gets accustomed to regularity of
feeding time and feeding spots in the pond (Davies et al. 2006).
2.5 Stocking Rate
The efficiency of fish farming is also predicated on the stocking density
per unity area of the pond. Ella (1987) said stocking rate is the number of fish
stocked per square meter of the fish pond surface areas. Stocking rate depends
on the size of the pond, experience of the farmer, length of time of the
production period, expected production size, water supply, aeration process and
preparation to accept risk. George (1986) added that fish should be stocked
according to the surface area as over estimation of the area could lead to over-
stocking which also affect feeding, growth rate and water quality. According to
17
Michael et al. (1999) and Michael et al. (2005) stocking rate will reflect on how
much time and finance is dedicated to the stocks as it concerns feeding and
water quality management. There is therefore no fast and hard rule on the
stocking rate other than management process. To this end, the following is the
formula for determining the stocking rate of a pond.
Sr = W.ha x % mortality
Wf
Where:
Sr = Stocking rate
W.ha = Increase in weight per hectare
Wf = Weight gain per fish
% Mortality (not to exceed 20%). (Ella, 1987)
2.6 Pond Water Quality Management
The harnessing and manipulation of the fish ecosystem lies within the
prescribed unit of the water biological, physical and chemical aspect to produce a
good water quality for the fish. These excellent aquatic conditions guarantee fish
survival, growth and reproduction. The overall productivity of a water body can
easily be deduced by the primary productivity that forms the back bone of the
aquatic food chain and climatic condition and this plays a major influence on
pond water quality (Fast, 1983 and Dhawai and Kaur, 2002). Under this
condition, the most important factor of water quality that affects the production of
fish under a confirmed environment is those of the three factors of water quality,
namely the physical factors which include light temperature, colour and turbidity
of the water, the chemical factors which include the dissolved oxygen (DO),
hydrogen ion concentration (pH), hardness, salinity and alkalinity and the
biological factors which include the benthos and sediments, phytoplankton,
macrophytes and zooplanktons that exist as natural food of the fish. The natural
18
food is supplemented by artificial feeding unless in the case of the reconciliatory
pond production system and the use of other water holding materials that ensure
water flows (Onuoha and Nwadukwe, 1987; Yinka et al., 2005).
2.6.1 Physical Factors of Pond Water Quality
One major physical factors of pond water quality is the temperature of the
pond water. Temperature is the measurement of the hotness or coldness of a
body including water. It is the property of the body that defines the flow of heat
when it is placed in contact with another body. A 1g calorie of heat is required
to raise the temperature of the 1g calorie by 1oC. Forsberg et al. (1996) reported
that although fishes are sometimes called poikiothermic (cold-blooded), most
fish are ectothermal, which means that their body temperature is the same as the
surrounding water (tuna and a few other species have body temperatures
somewhat higher than the surrounding water, but they are not homothermal, that
is they do not have constant body temperature such as mammals or birds). The
body temperature of a eurythermal (wide range of temperature adaptation) fish
like largemouth bass may range from near freezing to nearly 90°F (32.2oC). It is
important to note that intrinsic differences exist in adaptation of fish to water
temperature. In regards to their temperature tolerance, fish are categorized as
coldwater, cool water, warm water, and tropical. Most tropical fish, such as
tilapia, die when temperatures are less than 50°F (10°C), and most salmonids
(trout and salmon) die when temperatures exceed 80°F (25.7°C). Channel
catfish, which are called warm water fish, survive from near freezing to about
90°F (32.2°C). Boyd (1982) added that the effect of water temperature that
enable optimal performance of fish varies among species as it dictate the feed
intake, movement, growth, breeding and the general metabolic activities of the
fish. In the same vein, Michael (1999) recommended temperature range of 21oC
to 31.9oC for tropical fishes. That at temperature beyond 32oc respiration will
be stressful, poor feed conversion and poor growth rate and same effect will be
19
noticed when temperature is below 21oC. Similarly, Michael et al. (2005) and
Fast (1983) showed water temperature affects biochemical reactions in water
and it determine the solubility of oxygen in the water. The higher the water
temperature, the lower the solubility of oxygen. The rate at which oxygen is
absorbed into the water is also a function of the depth of the water. The higher
the depth, the higher the oxygen solubility in the water. Again temperature
shock, which will stress or cause high mortality of fish, occurs when fish are
moved from one environment to another without gradual acclimation
("tempered") to the other temperature. Boyd (1995) and Edwin et al. (2009)
added that 0.2°C/minute (12°C/hour) can be tolerated provided the total change
in temperature does not exceed a few degrees. It is important to remember that
temperature controls the solubility of gases in water, and the reaction rate of
chemicals, the toxicity of ammonia, and of chemotherapeutics to fish. They
added that if water temperature is less than 10oC, stocks will cease to feed and
above 27oF stocks equally stop to feed. In freshwater, at sea level, the solubility
of oxygen is 11.3 mg/l at 10°C, but only 9.0mg/l at 21°C. Solubility of oxygen
also decreases with elevation.
On pond stratifications, Fred and James (2001) reported that pond
temperature stratification is a phenomenon that can be detected when diving
into a large pond or lake. The water temperature may drop drastically within a
few feet of the surface. In contrast, a well-mixed pond will have an almost
uniform temperature gradient when measured from the surface to the bottom.
Pond temperature stratification often occurs when the surface water is heated or
chilled. For example, a pond may undergo temperature stratification in summer
months as radiant heat from the sun warms the surface water. From the surface
down to a significant depth there is little change in water temperature, yet in the
next few inches or feet, the water temperature drops rapidly, then stabilizes to a
lower temperature range as the bottom is reached pond stratification can be
disrupted by rapid changes in temperature and strong winds; two events that
20
occur regularly in the spring and late fall. The physical action of strong winds
can cause mixing of water at the surface with the water at lower levels. Cold
temperatures can chill the surface water to a temperature lower than that found
at lower depths, causing it to become denser and sink to the bottom. One term
for this event is called turnover. Pond turnover is a seasonal event in healthy
ponds that redistributes nutrients in the pond.
Another important physical water quality worthy of note is the water
turbidity and colour. Turbidity and colour of pond water are other limnological
physical quality of pond water. Turbidity is the decrease of ability of water to
transmit light ray normally caused by either suspended colloidal material of
various size, coarse dispersion, and organic matters in the form of planktons.
Turbidity is also seen as an opaque or unclear appearance imparted to water by
the presence of suspended foreign particles (soil, plankton, etc.) Turbidity can
also be viewed as the measure of the clarity of water. The resultant effect of its
inability to transmit light tells on the colour of the water (Onuoha and
Nwadukwe., 1987 and Ysi, 2001). Colour of pond water that comes from
inorganic matter can be as disadvantageous as they not only hinder light
transmission but also reduce the phytoplanktons’ photosynthetic rate thus
reducing pond water productivity as the sediments in the water absorbed
phosphorus element from the water. The inorganic matters also destroy
benthoses, lower dissolved oxygen, clog fish gills and block moving fish vision
thereby causing stress to the stocks (Fast, 1983).
In aquaculture, turbidity can be noted by physical examination but can
accurately be done through the use of secchi disk and/ or turbid meter. Turbidity
has a great relationship with water colour. When pond water colour is clear or
bluish, it shows that plankton volume is low with low productivity. When it is
yellow or/brownish, it shows dissolved organic suspense with low dissolved
oxygen. Where the water colour is greenish, it depicts high plankton volume
and productivity (Suk et al., 1998; Howerton, 2001). Turbidity that causes low
21
pond productivity arising from organic suspense are caused by run off from
unstabilized water shed such as cropped land, road, etc. and by the source of
water used for the pond. Thus turbidity can be prevented by good land use
practices on the water shed or by construction of diversion ditches round the
pond, maintenance of good clean source of water, filtration of water into the
pond, establishing of good grass cover round the pond which can serve as
natural water filtration or rip raping mechanism if turbidity persist. It could be
removed with the application of aluminum sulphate (filter Alum) at the rate of
22.7kg/acre. This should be distributed over the pond surface by spraying the
dissolved alum on the pond surface with little agitation possibly during and after
application in a calm and dry weather (Daniel, 2003). It is further added by
Bryan et al. (2000) that when the turbidity is of soil colloid resulting to muddy
water, that this can be caused by wave stirring up from the pond bottom
sediments and this could be corrected by spreading a layer of hay or straw over
the pond bottom from the edge to a few feet’s from the shore. However, this
preventive measure should be with some caution as this straw or hay application
decomposition could lead to oxygen depletion. It is further advised that
correction of water turbidity can be possible through the use of 453kg of
agricultural limestone (CaCO3) or 335kg of hydrated lime per acre. These
chemical applications can keep turbidity of colloidal material for one to two
years. The use of quicklime is however discouraged as it could lead to fish kill.
2.6.2 Chemical Factors of Pond Water Quality
According to USDA (1996), dissolved oxygen is probably the most
critical factor of water quality that affects fish production. Fish require oxygen
for respiration, which physiologists express as milligram of oxygen consumed
per kilogram of fish per hour (mg/l). The respiratory rate increases with
increasing temperature, activity, and following feeding, but decreases with
increasing mean weight. Onuoha and Nwandukwe (1987) and Boyd (1982)
22
outlined several important implications of oxygen on the physiological facts for
aquaculture. It is stated that at a given temperature, smaller fish consume more
oxygen per unit of body weight than larger fish; or said in another way, for the
same total weight of fish in a tank, smaller fish require more oxygen than larger
fish. That actively swimming fish consume more oxygen than resting fish. In
raceways, high exchange rates will increase energy expenditures for swimming,
and oxygen consumption and that oxygen consumption of fish will increase
after feeding. Multiple feedings regime per day (3 or more) will result in less
variation in oxygen demand than once to twice feedings per day.
Daniel (2003) opined that in ponds, the major source of oxygen is from
algal photosynthesis and from wind mixing the air and water. In tanks or
raceways, oxygen is supplied by the inflowing water, which should be near
saturation for the temperature and elevation. In many trout hatcheries, the water
is re-used, that is it typically passes through a series of raceways (usually not
more than 4), with re-aeration (oxygenated) by atmospheric contact as the water
passes from raceway-to-raceway, or, re-aeration may be obtained with
mechanically powered aerators or air diffusers supplied by air blowers.
Whenever air is in contact with the water, whether through natural or artificial
means, a transfer of oxygen from the air to the water takes place until the water
becomes saturated. Plants under light convert carbon dioxide to oxygen in the
water. Fish, plants at night, and aerobic bacterial action consume the oxygen.
(Gary, 2007)
Cruz et al. (2000), Davies et al. (2006) and NRC, (2009) added that a
common generalization about oxygen requirements for aquaculture is that the
minimum dissolved oxygen should not be less than 5 mg/l for growth of warm
water fish and 6 mg/l for coldwater fishes at their optimum temperature. Thus,
for a raceway or circular tank, oxygen of the effluent water should be at least 5
mg/l. The oxygen available for fish is the difference between the inflow of
oxygen and the outflow of oxygen concentration. If the outflow must be no less
23
than 5 mg/l, then the inflow must be higher than that for fish to have any oxygen
for respiration. At a temperature of 15.5°C, oxygen saturation would be about
9.6 mg/l at 1000 feet, which would provide about 4.6 mg/l of atmospheric
oxygen for fish respiration (9.6 - 5.0 = 4.6 mg/l). The oxygen requirement for
100 kg of fish that consume 300 mg of oxygen per kilogram per hectare would
be 30,000 mg of oxygen per hectare (100kg fish x 300 mg/kg/h). At
temperatures optimum for growth, fish are stressed at oxygen concentrations
less than 5mg/l. If the condition is chronic, fish stop feeding, growth slows
down, stress-related disease begins. For rainbow trout, mortality may begin at 3
mg/l, but channel catfish tolerate less than 2 mg/l before mortality commences.
However, if the gills of fish are damaged by parasites, the fish may die when
oxygen concentrations drop only slightly below 5mg/l.
On the effect of oxygen on the performance of fish in the pond, Norm,
(2000) had shown that the minimum limiting oxygen concentrations for a fish is
dependent upon its genetic makeup, water temperature, level of activity, long
term acclimatization, and stress tolerance. Water with an oxygen concentration
of less than 3 mg/l will generally not support fish. When concentrations fall to
about 3 - 4 mg/l, fish start gasping for air at the surface or huddle around the
water fall (higher concentration points). Bio-converter bacteria may start to die
increasing the production of nitrogenous related compounds which compound
the lack of oxygen for the fish. Levels between 3 and 5 mg/l can normally be
tolerated for short periods.
On the balance of oxygen in a pond, Fred and James (2001) and Piper et
al. (1982) maintained that the oxygen content of a pond or lake is never
constant. Oxygen is continuously being produced by algae and other aquatic
plants and by wind and wave action. It is removed from the system through
respiration of aquatic animal organisms, by the biological oxygen demand
(BOD) of organisms such as bacteria that break down non-living organic
material, and even by a chemical oxygen demand (COD) caused by decay of
24
dead plants and animals. A frequently misunderstood phenomenon is how algae
affect oxygen concentration in a pond during day and night hours. Algae and
other plants are consumers as well as producers of oxygen. Algae produce
oxygen during the daylight hours and then consume it at night. During the day
algae use energy from the sun to drive a chemical reaction
Boyd (1979) and Fred and James (2001) added that it is not difficult to
get all the air into the water that the fish need. Oxygen is continually transferred
into the water at the surface of the pond and normally only a small water fall
will bring the pond water to or near to saturation. Heavily populated ponds may
need supplemental air and ponds with a large amount of algae may need
supplemental air at night when the plants are not making oxygen but consuming
it. It is very important that sufficient circulation is provided within the pond so
that all areas have proper oxygenation. Although the algal bloom benefits the
life in the pond, it must be controlled or will result in the loss of aquatic animals
such as fish and crustaceans. Oxygen problems in warm water ponds often
occur when the microscopic algae are either absent or overly abundant. If the
phytoplankton is absent, there may not be enough oxygen produced from other
sources such as wind and/or macrophytes in the pond to support a good
population of fish. However, if an algal bloom becomes excessive, it often has
three pronounced negative effects on the oxygen concentration and animal life
in a pond. The first negative effect of excessive phytoplankton in a pond is the
result of the cyclic events of algal respiration that occur over a 24-hour period.
An excessive algal bloom will produce an abundance of oxygen during the day,
often resulting in at or near saturation of oxygen in the water. At night,
however, the same excessive algal bloom consumes a near equal quantity of
oxygen during dark phase respiration. The oxygen concentration in the pond
may drop to a level that causes stress or death in a population of fish. This often
occurs at night or during the early morning hours before the algae can replace
the lost oxygen through photosynthesis. This may be complicated by several
25
days of cloudy weather that reduce the level of daytime photosynthesis.
Nighttime respiration will continue at the same rate with lower oxygen levels in
the pond, but there will not be enough daytime photosynthesis for the oxygen to
be replaced. Boyd (1979) and Chakroff (1978) added that the fluctuation of
oxygen is such that has low concentration of dissolved oxygen in the morning
time, high concentration in the afternoon and low again at dusk. Oxygen
depletion resulting in fish stress and loss is a common occurrence in ponds
during the hot summer months as the pond heats up and reduces the oxygen
holding capacity of the water. If this occurs along side with an excessive algal
bloom and/or cloudy weather, oxygen loss is usually significant, and the onset
of oxygen depletion is rapid (Michael et al 1999).
A second common effect of an excessive alga bloom on a pond is sudden
death of the phytoplankton population. This can occur for a number of reasons
including depletion of nutrients used by the algae, a seasonal change in water
temperature, high winds that turn over the water in the pond, rapidly chilling of
the surface waters, and destruction of the phytoplankton bloom with algaecides
during periods of hot weather. Although individual members of the
phytoplankton community are microscopic, the sum total of the community
makes up a large biomass in the water. If the phytoplankton biomass is suddenly
killed, it will sink to the pond bottom and rapidly decompose. The BOD created
by bacteria decomposing a high-density phytoplankton community is
significant. The combination of the absence of oxygen producing plant
community and the additional BOD that results from a decomposing algal
population can strip enough oxygen from the water to kill a fish population
(Masser and Wurts, 1992).
Pond water pH and alkalinity are other chemical factors that can affect
the performance of fish in a pond, the overall productivity of the pond and the
economic out lay of the farm. The combinatory features of these chemical
factors affect each other. The pH range of pond water is a product of the
26
fluctuation range of alkalinity and hardness of the rater. Pond water pH is the
negative logarithm of the hydrogen ion concentration in the water. It is the
potential hydrogen present in the water. This pH range is usually given as 1 to
14. A pH of 7 indicates a neutral condition (neither acidic nor basic). This is
where the hydrogen ions equal the hydroxide ions in concentration. A pH below
7 indicates more hydrogen ions than hydroxide ions and it is an acidic
condition. Above pH 7, there are more hydroxide ions than hydrogen ions, it is
basic or alkaline (Boyd et al. 2002 and Norm, 2000). Similarly, Andrew (2007)
and Davies et al. (2006) showed that all living organisms including fish have
their own optimal range of pH where growth is at its best. The optimal pH for
catfish pond is 6.5 - 8.5 but Onuoha and Nwadukwe (1987) added that catfish
can survive the lowest pH limit of 4.5 - 5.0. That beyond this optimal range fish
will experience stress and there will be altered metabolic activities. It also
affects the production level of the plankton in the water. Andrew (2007) and
Michael et al. (2005) added that there is a fluctuation of pH and it is caused by
the consumption and production of carbon dioxide and other chemicals used in
the pond. Planktons remove carbon dioxide and other acidic substances during
the day from photosynthesis activities increasing the pH level during the day.
However, at night time pH tend to acidic level due to the respiratory activities of
all these microbes that produces more carbon dioxide which reacts with water to
form carbonic acid. Furthermore, where the pH level needs modification, the
use of chemicals such as lime of various types, gypsum, alum etc is
recommended (USDA, 1996).
Water pH is closely related to alkalinity but alkalinity is not same as pH.
Alkalinity is the amount of buffering materials in the water. It is the measure of
bases mostly of ions of carbonates (CO32-
) and bicarbonates (HCO3) in the water
expressed in milligram per litre (mg/l) equivalent of calcium carbonate
(CaCO3). These act as buffers to keep the pond water pH stable. (Michael et al
2005 and Howerton, 2001). These bicarbonates and carbonates are derived from
27
the free carbon dioxide reaction due to carbon dioxide solubility in the pond
water. Free carbon dioxide is very soluble in water with variability from
temperature of the pond water. Its solubility is higher at lower temperature and
lower at higher temperature. For example at 0oC, solubility is 1.10mg/l, at 5
oC
it is 0.91mg/l, at 10oC it is 0.76mg/l, at 25
oC it is 0.58mg/l, at 30
oC it has
0.42mg/l, etc. On the reaction with pond water, carbon dioxide entering the
water produces carbonic acid (H2CO3) which dissociates to release hydrogen ion
(H+) and bicarbonate (HCO3). The bicarbonate on its part dissociates to give
more free hydrogen (H+) and carbonate ions. Carbonate and bicarbonates have
also been derived from the nature of the water shed and soil sources. Naturally,
water contains more carbonate than that which comes from ionization and this is
due to the constituents of the water and soil sources (Boyd, 1979; Boyd et al.
2002). Furthermore, Norm (2000) and Howerton (2001) added that carbonate
and bicarbonate can also be derived from bacteria dissimulation. As pond water
stratified, anaerobic condition could be created and bacteria that are present give
off nitrite, ammonia and other nitrogenous compound which react with carbon
dioxide to produce carbonates and bicarbonates. Boyd et al. (2002) went further
to give the relationship between total alkalinity and soil/ water pH. That total
alkalinity of below 5.0 mg/l equal pH below 5, at 5 - 10mg/l, it is 5.0 to 5.4 pH,
at 10 - 20mg/l it gives 5.5 to 5.9 pH at 20-30mg/l it gives 6.0-6.4 pH and 30 -
50mg/l of total alkalinity gives 6.5 to 7.0 pH. On this basis, total alkalinity
below 20mg/l which give below pH 5.0 can result to fish stress and death. Thus
liming before fertilization is strongly advised so that there can be the increase of
availability of carbon dioxide for plankton photosynthetic activities, raise the
pH to neutral or slightly alkaline value, increase the alkaline reserve in the water
and mud which prevent extreme change in pH, promote bacteria activities that
can beak down ammonia to nitrite, precipitate suspended or soluble organic
materials, decrease biological oxygen demand (BOD) and increase light
penetration (Martin et al., 1999).
28
Other important chemical factors of pond water quality are the presence
of nitrogenous compounds in the form of ammonia, nitrite and nitrates. Andrew
(2007), Ruszynski, (2003) and Hargreaves and Tucker (2004) said that the
major source of ammonia in a water of a heavily stocked culture pond is from
the uneaten feeds fed to the fish especially from those feedstuffs high in protein
contents like fish meal, Soya beans etc and bone meal or other mineral
supplementations. Other sources are the byproduct of the protein metabolism
released as gas through the gills and other nutrients entering the water which
bacteria can act upon e.g. solid waste and urea. What is measured by chemical
analysis (Nessler method) for ammonia is called total ammonia nitrogen (TAN)
because it includes two forms of ammonia: the unionized ammonium (NH3) that
is toxic and ionized ammonium (NH4+) and it is non-toxic. Ammonia should not
be detectable in a pond with a "healthy" bio-converter. The ideal and normal
measurement of ammonia is zero. When ammonia is dissolved in water, it is
partially ionized depending upon the pH and temperature. The ionized ammonia
is called ammonium and is not particularly toxic to the fish. As the pH increases
and the temperature drops, the ionization and ammonium decreases which
increases the toxicity. As a general guideline for a water temperature of 21oC
would be expected to tolerate an ammonia level of 1 mg/l for a day or so if the
pH was 7.0, or even as high as 10.0 if the pH was 6.0. At a pH of 8.0, just 0.1
mg/l can be dangerous. Optimum concentration of 0mg/l is advised. Norm
(2000) added that the effect of it is that it tends to block oxygen transfer from
the gills to the blood and can cause both immediate and long term gill damage.
The mucous producing membranes can be destroyed, reducing both the external
slime coat and damaging the internal intestinal surfaces. Fish suffering from
ammonia poisoning usually appear sluggish, often at the surface as if gasping
for air. It also reduces feed consumption, create stress and poor growth.
Robert et al. (1997) also informed us that nitrite is another form of
nitrogenous compounds that enters a fish pond after feed is digested by fish and
29
the excess nitrogen is converted into ammonia, which is then excreted as waste
into the water. Total ammonia nitrogen is then converted to nitrite (NO2) which,
under normal conditions, is quickly converted to non-toxic nitrate (NO3) by
naturally occurring bacteria. Uneaten (wasted) feed and other organic materials
are also broken down into ammonia, nitrite, and nitrate in a similar manner.
Nitrite should not be detectable in a pond with a properly functioning bio-
converter. Thus the ideal and normal measurement of nitrite is zero. A low
nitrite reading combined with a significant ammonia reading indicates the
ammonia-nitrite biologic converter action is not established, while a low
ammonia reading with a detectable nitrite reading indicates that the nitrite-
nitrate bacterial conversion activity is not yet working (Andrew, 2007 ).
On the effect of nitrite to fish, Norm (2000) and Michael et al. (2005)
revealed that Brown blood disease occurs in fish that are raised in water with
high nitrite concentrations. Nitrite enters the bloodstream through the gills and
turns the blood to a chocolate-brown color. Haemoglobin, which transports
oxygen in the blood, combines with nitrite to form methemoglobin, which is
incapable of oxygen transport. Brown blood cannot carry sufficient amounts of
oxygen, and affected fish can suffocate despite adequate oxygen concentration
in the water. This accounts for the gasping behavior often observed in fish with
brown blood disease, even when oxygen levels are relatively high. Nitrite
presence also damages the fish nervous system, liver, spleen, and kidneys of the
fish. Even lower concentrations over extended periods can cause long term
damage. Short term, high intensity, "spikes" which often occur during a bio-
converter startup or restart may go undetected yet cause problems to develop
within the fish months later. A common indication of a fish that has endured a
severe nitrite spike in the past is that the gill covers may be slightly rolled
outward at the edges. They do not close flat against fish's body. Fred and James
(2001) opined that Nitrite problems are typically more likely in closed, intensive
culture systems due to insufficient, inefficient, or malfunctioning filtration
30
systems. High nitrite concentrations in ponds occur more frequently where
temperatures are fluctuating, resulting in the breakdown of the nitrogen cycle
due to decreased plankton and/or bacterial activity. A reduction in plankton
activity in ponds (because of lower temperatures, nutrient depletion, cloudy
weather, herbicide treatments, etc.) can result in less ammonia assimilated by
the algae, thus increasing the load on the nitrifying bacteria. If nitrite levels
exceed that which resident bacteria can rapidly convert to nitrate, a buildup of
nitrite occurs, and brown blood disease is a risk. Although nitrite is seldom a
problem in systems with high water exchange rates or good filtration, systems
should be monitored year-round and managed when necessary, to prevent
severe economic loss from brown blood in any fish culture facility.
On Susceptibility of fish species to nitrite toxicity, Robert et al. (1997)
identifies largemouth and smallmouth bass, as well as bluegill and green
sunfish, as fish species that can resist high nitrite concentrations. Catfish and
tilapia, for example, are fairly sensitive to nitrite and trout and other cool water
fish are sensitive to extremely small amounts of nitrite. Goldfish and fathead
minnows fall in between catfish and bass in their susceptibility to brown blood
disease resulting from high nitrite levels. Striped bass and its hybrids appear
sensitive to nitrite, but little is known about the relative sensitivity compared to
other species.
Similarly, Boyd (1979) indicated that nitrate is another nitrogenous
compound in pond. Nitrate is produced by one of the autotrophic bacterial
colonies by combining oxygen and nitrite. This occurs both in the bio-converter
and to a lesser degree on the walls of the pond. A zero nitrate reading, combined
with a non-zero nitrite reading, indicates the nitrite-nitrate bacterial converter
action is not established. Concentrations from zero to 200 mg/l are acceptable
but should normally be below 100mg/l as high nitrate levels will both stimulate
and suppress spawning activity. Where ammonia and nitrite were toxic to the
fish, nitrate is essentially harmless. If the nitrate concentration gets too high, the
31
nitrite-nitrate converting bacteria may not be able to do their job effectively
resulting in a raised nitrite level (Bryan et al. 2000). Nitrate is the end result of
the nitrification cycle and is very important to plants in their life cycle. It would
take 100 days or over three months, (longer with any water change outs), for the
nitrate levels to build up to the 100 mg/l level. The nitrate concentration is
controlled naturally through routine water change outs and to a lesser degree
through plant/algae consumption (Norm, 2000).
32
CHAPTER THREE
MATERIALS AND METHODS
3.1 Location
The experiment was carried out in the Fisheries Unit of the Teaching and
Research Farm, Department of Animal Science, University of Nigeria, Nsukka.
3.2 Materials
The experiment was carried out using twelve plastic tanks measuring
0.6m x 0.6m x 0.9m. Two hundred and forty post juvenile African catfish
fingerlings (Clarias gariepinus) weighing 15.0 ± 0.26 g were randomly divided
into four treatment groups with 60 fish per group. Each group was replicated
three times with 20 fish per replicate. The fish were fed with extruded
commercial feeds of Catco Fish Concentrate. The composition of the diet is
presented in table 1. Other materials used include Jenway Portable pH Meter
Model 350, Jenway Portable Dissolved Oxygen Meter Model 970, thermometer,
sensitive scale, meter rule, 5mm mesh size net and dechlorinated water.
Table 1: Nutritional composition of the experimental diet
S/N NUTRIENTS % COMPOSITION
1 Crude Protein 42.0
2 Crude Fat 13.0
3 Crude Fibre 1.9
4 Ash 9.5
5 Phosphorus 1.1
6 Vitamin A 15000 I.U./kg
7 Vitamin D3 2000 I.U./kg
8 Vitamin E 200mg/kg
9 Vitamin C ( Stable) 150mg/kg
10 Copper 5mg/kg
33
3.3 Management of the Experimental Fish
The post juvenile African Catfish fingerlings were purchased from the
local hatchery in Makurdi, Benue state. They were randomly divided into four
treatments groups and fed with the commercial feed (Catco® fish Concentrate)
for one week acclimatization before the experiment commenced. To mitigate
the environment as a result of the exposure of the plastic materials to
atmospheric temperature, and the volume of the water used for the experiment,
an open shed was constructed with rough thatch over the water holding vessels
with its sides rounded up with wire mesh up to three feet high to prevent the
entrance of rodents and human factors.
The fish were fed daily with 1.5mm to 4.5mm feed size of the extruded
commercial feeds at 3% body weight throughout the twelve weeks experimental
period. The initial body weight (gm) and length (cm) of the fish were taken
using sensitive scale and meter rule, respectively before they were stocked and
subsequently at two weeks interval. Also measured were the temperatures of the
water using the thermometer and the pH using the pH meter before the daily
feeding practice. The dissolved oxygen was monitored and measured weekly
using the dissolved oxygen meter. The volume of the water was maintained at
0.18m3. The top of the vessels was also covered with 5mm mesh size net to
protect the stocks from jumping out while the water in the vessels was changed
bi-weekly to avoid the build up of nitrates and nitrites as effluent leaching was
not possible due to the use of plastic materials.
34
3.4 Experimental Procedures
The experiment has four treatments with three replicates which were as
follows:
T1: Fish in this group were fed once daily in the morning at 07.30 hour to
08.30 hour at 3% of their body weight.
T2: Fish in this treatment were fed once daily in the afternoon at 12.30 hour
to 13.30 hour at 3% of their body weight
T3: Fish in this group were fed once daily in the evenings at 17.00hour to
18.00hour at 3 % of their body weight.
T4: Fish in this treatment were fed twice a day in the morning and evening at
07.30 hour to 08.30 hour and at 17.00 hour to 18.00 hour respectively at
3% of their body weight. The feed used for treatment 4 was divided into
two so that the fish receive half of the ration in the morning and the
remaining half in the evening.
3.5 Parameters measured during the Experiment
The following parameters were measured
1. Live weight (g) of the fish using sensitive top loading scale
2. Length (cm) of the fish using the rule meter
3. Feed in-take of the fish using sensitive top loading scale
4. Dissolved oxygen using the dissolved oxygen meter, water temperature
using the thermometer and water pH using the pH meter according to the
various treatments. Some of the data generated were used to calculate weight
gain and feed cost per Kg weight gain. Mortality was monitored and records
kept on daily basis.
35
3.6 Experimental Design
The experiment was carried out using completely randomized design
(CRD). Below is the mathematical model of the experimental design:
Yij = U + Ti + ∑ij
Where:
Yij = Individual observations
U = Population mean
Ti = Treatment effect
∑ij = Experimental error
i = Number of treatments
j = Number of replicates
Statistical analysis
Data collected were subjected to analysis of variance (ANOVA) as
described by Akindele (2004).
3.7 Calculations Live Weight Gain of Fish = Final body weight of fish – Initial body weight gain
of fish.
Total Length Gain of Fish = Final body length of fish – Initial body length of
fish.
Feed conversion ratio (FCR) = total feed intake (g)/total wet weight gain (g).
Protein Efficiency Ratio (PER) = wet weight gain (g)/total protein intake
Specific Growth Rate = Final body weight of fish – Initial body weight of
fish/No of Days reared.
36
CHAPTER FOUR
RESULTS AND DISCUSSION
4.1 Growth Performance of African catfish Fed at Different Time
Intervals
Data on the growth performance and body length of African catfish fed at
different time intervals are presented in Tables 2 and 3. Significant differences
(P < 0.05) were noticed in the feed intake and weight gain of the fish in the
various treatments. Final mean body weight was 223.63g (T4), 200.13g (T1),
196.33g (T3) and 168.17g (T2). The mean body weight gained was 208.97g
(T4), 184.83g (T1), 181.07g (T3) and 153.41g (T2) and the mean daily weight
gain for the period was 2.60g (T4), 2.20g (T1), 2.16g (T3) and 1.83g (T2). The
specific growth rate (SGR) also showed significant difference at (P < 0.05) with
mean value as follows: T4 (1.41) T1 (1.33), T3 (1.32) and T2 (1.26). These
results were due to the feed consumption rate of the fish that showed significant
difference (P < 0.05) in the same order. This shows that the feed fed to the fish
impacted the fish positively at the various time intervals of feeding. This is in
agreement with Davies et al (2006) and Odeyemi (2007) of the high
performance of the fish fed twice a day as there was efficient utilization of the
feed. However, there were no significant differences (P > 0.05) in the feed
conversion ratio with a range of 1.23 - 1.30. This result agreed with the result of
0.98 -1.46 recorded by Hecht and Appelbaum (1988). The feed conversion ratio
of 1.23 was observed in treatment T4; also support that of Mostafa et al. (2002).
This high performance is attributed to the high quality of the extruded feed used
for the experiment whose nutritional composition and form conformed to the
prescription by ADCP (1980), Jan (1995) and Zulfiker (2001). Similarly, the
time of feeding also supported the growth performance of the fish. Nutritionally,
feed intake of fish is controlled by three factors which are the environmental
factor, the fish physiological factor and the feed factors. So long the same feed
37
was used in the various treatments, feed factors should not be considered to be
the reason for the observed significant differences. Biswas and Takeuchi (2003),
Kasumya (1999) and NRC (2009) reported that environmental factors in
relation to feeding time and water physico-chemical quality have a marked
impact on the feed intake of the fish as they can affect the fish physiological
endowment capable of creating all sort of stress and neuro-endocrinological
imbalance (Wynne et al. 2003).
4.2 Body Length of African catfish Fed at Different Time Intervals
As shown in Table 3, the length of the fish showed no significant
difference (P > 0.05) in all the various treatments. The final mean total body
length (cm) of 31.2cm (T1), 29.7cm (T2), 31.0cm (T3), and 32.0cm (T4) and
the total gain in length of 20.7cm (T1), 19.9cm (T2), 21.0cm (T3) and 22.0cm
(T4) did not contradict the observed body weight gain of the fish within the said
short period of the experiment. However, differences in total body length could
have begun to appreciate with more time as observed by Marc and Jean (1991)
and Hengsawat et al. (1997). There was no significant difference (P < 0.05) in
the mortality rate in all the treatments. The mortality rate was observed as
follows: 13.38% (T1), 11.67% (T2), 10.00% (T3) and 13.3% (T4). The
observed mortality values in all the experimental treatments were traceable to
handling stress during weighing and change of water. This same scenario was
also recorded by Davies et al. (2006). The recorded mortality was within the
production range of 10-20% reported by Graaf et al. (1995) and was not due to
any pathological disease conditions.
4.3 Physico-chemical Characteristics of Treatments Ponds
As shown in Table 4, there were significant differences (P < 0.05) among
treatments water temperature. The difference may be due to environmental
condition. The water temperature was highest in treatment T2 followed by T3
38
and T4. The least value was recorded in treatment T1. These observed water
temperature value also were in line with the findings of Odeyemi (2007) and
was attributed to the level of the water in the experimental tanks that affected
the assimilation of heat since the tanks were exposed for atmospheric sunlight
and heat (Boyd, 1979). However, the recorded temperature range of 25.5oC to
28.10oC is within the tolerable range for catfish production in the tropics but
with minimal metabolic effect fluctuation (Yeamni et al. 2007; Boyd, 1982).
While the pH level in all the treatments stood at pH 7.1 showing no significant
difference (P > 0.05), the dissolved oxygen value were at 7.1, 6.8, 7.3 and 7.5
for T1, T2, T3 and T4 respectively. The physico-chemical properties obtained in
the experiment were within the tolerable values for catfish production. Davies et
al. (2007) Cruz et al. (2000), Boyd (1982), NRC (2009) and Michael (1999)
showed that the dissolved oxygen and pH in pond should not be below 2.5mg/l
and pH of 5.0 - 8.0 for catfish production. The observed significant differences
(P < 0.05) in the growth rate of the fish could be traced to the difference in
water temperature thus causing stress. In Table 2 it was observed that T2 has
mean final body weight of 168.7g and temperature of 28.10oC. The water
temperature differences could have altered the metabolic activities within the
fish. Jan (1995) explained that there are differences between metabolic energy
for production (MEp) and metabolic energy for body maintenance (MEm). The
ratio between these levels of energy varies within body weight and water
temperature due to the interactive effect of feeding level and temperature on the
fish body weight. Similarly, Ali (2006) reported that temperature affects the
growth rate of fish by affecting a variety of metabolic processes including
respiration, feed intake and digestion. That, any divergence from the normal
ranges of the metabolic processes could alter the optimal range for fish health
and growth. Although, the feed consumption may be high but greater proportion
could have been used for body maintenance.
39
TABLE 2: Growth performance of African catfish fed at different time intervals
Treatments
Parameters T1 T2 T3 T4 SEM
Initial number stocked 60 60 60 60 -
Final stock density less mortality 52 53 54 52 0.41
Initial mean body weight (g) 15.1 14.5 15.2 14.5 0.26
Final mean body weight (g) 200.13b
168.17c 196.33
b 223.63
a 3.74
Mean body weight gain (g)/ fish 184.83b 153.47
c 181.07
b 208.97
a 3.74
Average daily weight gain (g) for the period 2.20b 1.83
c 2.16
b 2.60
a 2.58
Specific growth rate (SGR) 1.33b 1.26
c 1.32
b 1.41
a 0.02
Mortality 8.0 7.0 6.0 8.0 2.04
Mortality % 13.3 11.67 10.00 13.33 2.04
Total feed consumed per treatment (g) 13512.2b
11297.5c 13372.7
b 14268.3
a 0.57
Mean daily feed consumed (g)/ fish 3.09b 2.54
c 2.95
b 3.27
a 0.03
Feed conversion ratio (FCR) 1.30 1.27 1.26 1.23 0.21
Protein efficiency ratio (PER) 1.96 1.94 1.93 2.09 0.04
Mean with different superscript on the same row differ significantly at 5%.
39
40
TABLE 3: Body length of African catfish fed at different time intervals
Treatments
Parameters T1 T2 T3 T4 SEM
Initial mean length (cm) 10.5 9.8 10.0 10.0 0.28
Final mean length (cm) 31.2 29.7 31.0 32.0 0.48
Mean length gain (cm) 20.7 19.9 21.0 22.0 0.18
TABLE 4: Water temperature, dissolved oxygen and pH at different time
intervals
Treatments
Parameters T1 T2 T3 T4 SEM
Water temperature (OC) 25.50
c 28.10
a 26.43
b 26.13
b 0.14
Dissolved oxygen in water (mg/l) 7.1 6.8 7.3 7.5 0.10
Water pH 7.1 7.1 7.1 7.1 0.17
Mean with different superscript on the same row differ significantly at 5%.
TABLE 5: Cost implication of feeding the fish at different time interval
Treatments Parameters T1 T2 T3 T4 SEM Total cost of fish at N600.00/Kg 6,243.60
b 5,346.54
c 6.360.84
b 6,969.00
a 0.01
Total cost of feed at N300.00/Kg 4,053.66a 3,389.25
c 4,011.81
b 4,280.79
a 0.33
Profit margin (N) 2,189.94 1,957.29 2,349.03 2,688.21 0.01
Profit margin % 54.10 58.06 58.73 62.9 1.98
Feed cost per Kg weight gain (N) 390.00 380.00 379.00 368.00 0.72
Mean with different superscript on the same row differ significantly at 5%.
41
4.4 Cost Implication of Feeding African catfish at Different Time
Intervals
Table 5 shows the economic aspect of the various treatments used in
the experiment. The cost implication of feeding the fish at the various
treatments levels showed a significant difference (P < 0.05) for the total cost
of fish at the prevailing market price with the highest value of N6,969.00 for
T4, N6,360.84 for T3, N6,243.60 for T1 and N5,346.40 being the lowest for
T2. There was also a significant difference (P < 0.05) among treatments in
total cost of feed consumed by the fish in the course of the experiment. The
value of N4, 280.79 was recorded for T4, N4, 053.66 for T1, N4, 011.81 for
T3 and the lowest value of N3, 389.25 for T2. The observed significant
differences (P < 0.05) in the total cost of feed consumed were as a result of
the different body weight gained of the fish in accordance to their different
feed of the fish. However, the profit margin percentage recorded ranged
from 54.10% to 62.90% showing no significant differences (P > 0.05). This
observed marginal profit percentages agreed with the 40-60% range of
profitability recorded by Adebayo and Adesoji (2008) and Davies et al.
(2006). This means that though there were significant differences (P < 0.05)
in the cost of the fish and feed used, the profit recorded were still high and
that the feeding methods used were also economical. There were also no
significant differences (P > 0.05) in the feed cost per kilogram weight gain
of the fish as their values ranged from N390.00, N380.00, N379.00 and
N368.00 for T1, T2, T3 and T4 respectively. This was due to the profit
margin recorded which lie also within economic level.
42
CHAPTER FIVE
SUMMARY AND CONCLUSION
5.1 Summary
Fish feeding is one of the enormous tasks the farmer is faced with if
the fish must grow. This is because of the relationship between the feeding
and the water quality as they affect each other during the cause of
management. The practice of feeding is far from being an exact science. It is
a highly subjective process. Edwin and Meughe (2007) and FAO (2005)
reported that though catfish has been cultured over the years and it ranks the
most popular cultured fish in Nigeria, their is a considerable alteration in the
feeding behaviour of the fish ( Brown, 2008). Recently, Edwin et al. (2009)
argued that the best time of day to feed fish is still an object of debate.
Nevertheless, they opined that the time of day to feed fish is largely dictated
by the logistics of feeding practice. It has been shown that the most dictating
factors are the water quality of the pond considering the fact that the time of
day has a good bearing on the water temperature, pH and dissolved oxygen
in addition to feeding management. Thus the response of the fish to time of
feeding and its acceptance is not static as it’s nocturnal habit make up has
been broken due to the practice of domestication. It is therefore evident from
the result obtained in the present study that catfish should be fed twice daily;
morning and evening time of the day. However, it is pertinent to consider
when the prevailing physico-chemical characteristics such as water
temperature, pH, dissolved oxygen, nitrate and other nitrogeneous
compounds, etc that affect feeding behaviour are at optimal level in the
pond.
43
5.2 Conclusion
With the result obtained from the experiment, the growth performance
of African catfish is highest when fed twine a day; morning and evening
compared to other time of the day. However, in determining best time of the
day to feed catfish, other factors such as stocking density, stocking
integration and aggression, feed composition, feeds size, fish forms and feed
preparation should also be considered. It is also necessary to consider the
fish physiological factors such as neuro-endocrinological state that affects
the response of fish to feeding as well as its growth performance (NRC,
2009; Colgan, 1993).
5.3 Recommendations
The results of the experiment showed that feeding fish in the
afternoon (T2) resulted in reduced feed in-take, reduced weight gain,
increase in water temperature and decrease dissolved oxygen. The
significant increase in the water temperature and decrease in dissolved
oxygen might have put stress on the fish, thereby leading to low feed in-take
and reduced weight gain. It is evident from the superior performance of fish
in treatment 4, that the best time to feed African catfish is in the morning
and evening.
44
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