Iranian Journal of Fisheries Sciences
10.22092/ijfs.2019.118343
18(3) 418-427
2019
Effects of various feeding and starvation strategies on growth,
hematological and biochemical parameters, and body
composition of Caspian brown trout
(Salmo caspius Kessler 1877) parr
Rahmati F.1; Falahatkar B.2; Khara H.1*
Received: August 2015
Accepted: February 2016
Abstract
This study was carried out to investigate the effects of starvation and feeding regimes
on growth performance, hematological and biochemical parameters of blood and body
composition of Caspian brown trout parr. For this purpose, 900 fish (average weight:
12.5±1 g) were stocked in 300-l tanks (18 tanks at a stocking rate of 50 fish in each
tank) using an open system. Six experimental groups composed of feeding and
starvation regimes were considered for the experiment as follows: FFF (six weeks
feeding), SSS (six weeks starvation), SFS (two weeks starvation + two weeks feeding +
two weeks starvation), FSF (two weeks feeding + two weeks starvation + two weeks
feeding), FS (three weeks feeding + three weeks starvation), and SF (three weeks
starvation + three weeks feeding). According to results obtained, the weight gain,
special growth rate, condition factor and hepatosomatic index decreased as the length of
starvation periods increased (p<0.05). The hemoglobin content and hematocrit did not
seem to be affected by starvation (p>0.05), while the highest values of red blood cells
and white blood cells were observed in the SSS group (p<0.05). Moreover, the lower
values of mean corpuscular hemoglobin and mean corpuscular volumewere observed in
the SSS group (p<0.05). The lipid content of body decreased with increased length of
the starvation period (p<0.05), wherase the crude protein, ash and moisture contents
showed no differences between the experimental groups (p>0.05). In conclusion, our
results showed that starvation has significant physiological and morphological effects
on Caspian brown trout parr.
Keywords: Starvation, Body composition, Growth performance, Hematology, Salmo
caspius
1-Department of Fisheries, Lahijan Branch, Islamic Azad University, Lahijan, Iran,
P.O. Box: 1616
2- Fisheries Department, Faculty of Natural Resource, University of Guilan, Sowmeh
Sara, Guilan, Iran, P.O. Box: 1144
*Corresponding author's Email: h.khara1974@yahoo.com
419 Rahmati et al., Effects of starvation and refeeding regimes on…
Introduction
Starvation is a common situation that
fish species may experience in the wild,
as a part of their life cycle, both as a
consequence of seasonal changes in
water temperature or migration that
may cause a lack of food or, to a greater
extent, food depletion. In aquaculture
conditions, starvation is not frequent,
but farmers may adopt similar
conditions for the cultured fish to avoid
risks of overproduction (Krogdhal and
Bakke-McKellep,
2005).
Several
studies demonstrated that starvation has
numerous effects on physiological and
morphological properties of fish
including:
growth,
development
(Sumpter et al., 1991; Navarro and
Gutierrez, 1995; Olivereau and
Olivereau, 1997), cardio-respiratory
system (Vosyliene and Kazlauskiene,
1999), body composition and energy
consumption (Inui and Ohshima, 1966;
Dave et al., 1975; Jobling, 1980),
immune system (Sakai, 1983; Sullivan
and Somero, 1983), morphological,
biochemical (Hung et al., 1997;
Vosyliene and Kazlauskiene, 1999) and
hematological parameters (Mahajan and
Dheer, 1983; Heming and Paleczny,
1987; Stepanowska et al., 2006). In
addition, starvation mobilizes the
nutrient and energy reserves stored in
the liver and skeletal muscles (Dave et
al., 1975) and also increases the hepatic
anti-oxidant enzymes (Pascual et al.,
2003).
The Caspian brown trout, Salmo
caspius, is a critically endangered
anadromous species that has been
considered for a biological conservation
program in the southern part of the
Caspian Sea (Kiabi et al., 1999;
Niksirat
and
Abdoli,
2009).
Overfishing,
water
pollution,
construction of dams and poaching of
adults and immature fish are the main
factors that threaten the existence of
Caspian brown trout (Kiabi et al.,
1999). Similar to other anadromous
fish, the Caspian brown trout does not
feed for a long period when it migrates
towards spawning rivers. Moreover in
the hatchery, captured fish from the
wild do not feed for a long period until
they are adapted to hatchery conditions.
Various feeding regimes might be used
for juveniles depending on food
availibility and financial aspects. The
aim of the present study is to describe
changes induced by starvation on body
composition, growth and hematological
and plasma biochemical parameters of
the endangered Caspian brown trout.
Materials and methods
The experiment was carried out through
six weeks at the Kalardasht Salmonids
Reproduction Centre (KSRC), Iran. A
total number of 900 Caspian brown
trout parr (total weight 12.5±1 g and
total length 11.2±1 cm) were distributed
in 300-l tanks (18 tanks at a stocking
rate of 50 fish in each tank). Altogether,
the six experimental treatments
including feeding and starvation
regimes were considered for the
experiment (Table 1). Six experimental
groups composed of feeding and
starvation regimes were considered for
the experiment as follows: FFF (six
weeks feeding), SSS (six weeks
starvation), SFS (two weeks starvation
+ two weeks feeding + two weeks
Iranian Journal of Fisheries Sciences 18(3) 2019
starvation), FSF (two weeks feeding +
two weeks starvation + two weeks
feeding), FS (three weeks feeding +
three weeks starvation), and SF (three
weeks starvation + three weeks
feeding). During the experiment, the
water temperature was 11±0.1 °C,
dissolved oxygen was 8±0.5 mgL and
pH was 8.0±0.2. During feeding
420
periods, the parrs were fed daily with
commercial feeds (produced by
Behparvar Company; total protein:
50.8%, lipid: 17.1%, ash: 10.1% and
carbohydrate: 9.4%) three times
including: 9:00, 13:00 and 16:00 hours.
After the course of the experiment, the
growth, hematological parameters and
body composition were analysed.
Table 1: The starvation and feeding regimes used in the present study (Falahatkar, 2012).
Treatments
Feeding and starvation periods
T1 (FFF)
Six weeks feeding
T2 (FSF)
Two weeks feeding, two weeks starvation, two weeks feeding
T3 (SFS)
Two weeks starvation, two weeks feeding, two weeks starvation
T4 (FS)
Three weeks feeding, three weeks starvation
T5 (SF)
Three weeks starvation, three weeks feeding
T6 (SSS)
Six weeks starvation
Measurment of growth parameters
The growth parameters were measured
according to the following formulae:
Weight gain (WG; g)=W2-W1
Where:
W1: total weight of fish in the
beginning of the experiment
W2: total weight at the end of the
experiment period
Specific growth rate (SGR; %/day) =
100 × (Ln W2- Ln W1) / total number of
experiment days
where:
W1: weight of fish in beginning of the
experiment
W2: weight of fish at the end of the
experiment period
Condition factor (K) = 100 × (fish
weight / total length-3)
Feed conversion ratio (FCR) = weight
gain (g) / feed intake total fish (g);
Hepatosomatic index (his; %) = 100 ×
(total weight of liver / total body
weight).
Measurment
of
hematological
parameters
The
hematological
parameters
including the number of red and white
blood cells (RBC and WBC),
hematocrit, mean corpuscular volume
(MCV), mean corpuscular hemoglubin
(MCH),
and
mean
corpuscular
hemoglubin concentration (MCHC)
were measured. The blood samples
were taken from the caudal vein of fish
using
heparinized
syringe.
The
microhematocrit capillary tubes were
used for the measurment of hematocrit
values according to Řehulka (2005).
The
hemoglobin
values
were
determined by Cyanmethemoglobin
method according to Blaxhall and
Daisley (1973). In this regard, 20 µl
uncoagulated blood was mixed with 50
µl Drabkin's solution and then placed in
a dark environment for 5-10 min. Then,
the hemoglobin concentration was
measured by spectrophotometry at the
wave-length of 540 nm. the numberof
RBCs and WBCs were determined
421 Rahmati et al., Effects of starvation and refeeding regimes on…
using the chamber method using
Neubauers hemocytometer (Drabkin
1945).
The MCV, MCH and MCHC values
were calculated as follows:
MCV (fl) = (hematocrit value) / total
number of RBCs (million mm-3) × 10
MCH
(pg/cell)
=
(hemoglobin
concentration) / total number of RBCs
(million mm-3) × 10
MCHC (g dL-1) = (hemoglobin
concentration) / (hematocrit value) ×
100
Measurment of biochemical parameters
After blood sampling, 2 mL of blood
from each fish was allocated for
analysis of glucose, triglyceride and
cholesterol. To this, the blood samples
were centrifuged (1500 g for 10 min)
and then the separated plasma samples
stored at -20 °C until biochemical
analysis. The biochemical parameters
(i.e.
glucose,
triglyceride
and
cholesterol) were measured by a
colorimetric method (standard analysis
kits from Pars Azmoon Company,
Karaj, Iran) using an Auto-analyser
(Photic 100 Lab system).
Analysis of body composition
Twelve fish were considered for the
analysis of body composition in terms
of crude protein, crude lipid, ash and
moisture contents. For this purpose, at
first, the pure meat was prepared after
excluding the viscera and also cutting
of head, skin and fins. Afterward, the
pure meat of each fish was squeezed
and hemogenized in a grinder and
mixer respectively. By weighing the
meat samples before and after
incubation at 105 °C in an oven
(Heraeus Instrument, D-63450 Hanau,
Germany) for a period of almost 24 h,
the body moisture was measured as
follows:
Moisture (%) = (initial weight before
incubation – final weight after
incubation) × 100
The crude protein was assayed
according to Lowry’s et al. (1951) by
Kjeltec Analyzer Unit 2300. Also, the
total lipid content was measured by
FOSS set (Soxtec 2050).
To measure the ash content, the
tissues samples (each sample with 0.5 g
weight) were placed in porcelain
crucibles and then kept at 550 oC for 5
h inside a furnance to burn. Afterward,
the burned samples were cooled in a
desiccator for 30 min. At the end, the
ash content was measured as follows:
Ash (%) = (W2 / W1) × 100
where W2 refers to the weight of the ash
sample, and W1 refer to the original
weight of the samples.
Statistical analysis
The SPSS software was used for data
analysis. the percentage data were
converted by angular transformation
(arcsin √p) since these data did not have
a normal distribution. One-way analysis
of variance (ANOVA) was employed to
compare the means. When significant
F-ratios
were
distinguished
by
ANOVA, the Tukey test was applied to
identify which means were different at
the level of p<0.05.
Iranian Journal of Fisheries Sciences 18(3) 2019
Results
The lowest values of growth indices
were observed in the SSS group (Table
2, p<0.05). The WG, SGR, K and HSI
decreased as the length of starvation
periods increased (Table 2, p<0.05).
The hemoglobin and hematocrit values
did not seem to be affected by
starvation (Table 3, p>0.05), while the
highest values of RBCs and WBCs
were observed in SSS group (Table 3,
p<0.05). Also, the lower values of
MCH and MCV were observed in SSS
group (Table 3, p<0.05). There was no
422
significant
differences
between
experimental groups in terms of
MCHC values (Table 3, p>0.05).
The lipid percent of body tissue
decreased with increasing length of
starvation periods (Table 4, p<0.05),
wherase the crude protein, ash and
moisture
contents
showed
no
differences
between
experimental
groups (Table 4, p>0.05). The lowest
values of glucose, triglyceride and
cholesterol were observed in SSS group
(Table 5, p<0.05).
Table 2: The growth parameters of Caspian brown trout parr in the experimental groups. Means
with same superscripts are not significantly different (p> 0.05).
Table 3: The hematological parameters of Caspian brown trout parr in the experimental groups.
Means with same superscripts are not significantly different (p>0.05).
RBC: Red blood cells, WBC: White blood cells, MCV: mean corpuscular volume one, MCH: mean
corpuscular hemoglobin, MCHC: mean corpuscular haemoglobin concentration.
Table 4: The body composition of Caspian brown trout parr in the experimental groups. Means
with same superscripts are not significantly different (p>0.05).
Table 5: The blood biochemical parameters of Caspian brown trout parr in the experimental
groups. Means with same superscripts are not significantly different (p>0.05).
423 Rahmati et al., Effects of starvation and refeeding regimes on…
Discussion
Our results showed that starvation has
significant effects on growth, plasma
biochemical parameters and body
composition of the Caspian brown
trout.
Growth parameters
In the present study, starvation had
adverse impacts on growth indices. The
WG, SGR, K and HSI decreased as the
starvation periods increased. It is
obvious that nutrition is very important
in fish growth. Proteins are necessary
for tissue production and also lipids and
carbohydrates are required for energy
demands. Thus, the decrease of growth
indices in the peresent study can be the
response to starvation and lack of food
intake. Some studies demonstrated that
the HSI decreased after starvation due
to the decrease in lipid and glycogen
stores of the liver (Blasco et al., 1992;
Wang et al., 2005). Generally, K is
used to compare the condition, fatness,
or well-being (Tesch, 1968) of fish,
based on the assumption that heavier
fish of a given length are in better
condition. In the present study, by
increasing the length of feeding period,
the FCR decreased. However such
decreases were not significant for
groups with one feeding period at least.
Hematological parameters
In this study, the hemoglobin content
and hematocrit did not seem to be
affected by starvation. Conflicting
results exist in scientific literature
concerning the effects of starvation on
blood
hemoglobin
content
and
hematocrit value. For example, Sano
(1962),
Smirnova
(1965)
and
Johansson-Sjobeck et al. (1975)
reported an increase in the hematocrit
value in response to starvation periods
in Japanese eel, Anguilla japonica,
burbot, Lota lota and European eel,
Anguilla anguilla, respectively, while
Murachi (1959) and Kawatsa (1966)
reported a decrease in these parameters
in starved carp, Cyprinus carpio and
rainbow trout, Oncorhynchus mykiss,
respectively. Also, Larsson and
Lewander
(1973)
showed
that
starvation did not affect the hematocrit
and hemoglobin values of starved
European eel.
In Caspian brown trout, the highest
values of RBCs and WBCs were
observed in fish that were subject to 6
weeks of starvation (i.e. SSS group).
The number of RBCs is an indicator of
oxygen transfer efficiency from
respiratory organs to tissues (Holland
and Forster, 1966; Nikinmaa and
Salama, 1998). Therefore, changes in
the number RBC could be associated
with changes in metabolic levels. Also,
the RBC count show the status of the
fish immune system. Some studies
demonstrated that the fish immune
system could be affected by its
nutritional situation (Blazer, 1989;
Kiron et al., 1995). Generally, the fish
under starvation has a weaker immune
system than fish with appropriate
feeding. Thus, the starved fish is prone
to pathogen attacks and usually its
WBC level is higher than fish with
adequate feeding.
According to our results, the lower
values of MCH and MCV were
observed in fish starved for 6 weeks
Iranian Journal of Fisheries Sciences 18(3) 2019
(SSS group), althought its value was
not occasionally significant compared
to some other experimental groups. One
assumption could be dehydration of the
blood due to starvation as reported
proviously by Rios et al. (2005). In
such situations, the volume of each
RBC decreases and its hemoglobin
content is concentrated.
Body
and
plasma
biochemical
parameters In the present study, the
lipid percent of tissue decreased with
increasing periods of starvation whereas
the crude protein, ash and moisture
exhibited no differences between
experimental groups. Many studies
have reported decreasing energy stores
in tissue in response to starvation. In
fish, usually the liver glycogen and
lipids are the first energy resources that
are used for providing of energy during
starvation periods (Black and Love,
1984). Of course, the nature of the
energy resource (i.e. protein, lipid or
carbohydrate) is different depending on
species,
duration
of
starvation,
environmental
and
nutritional
conditions, reproductive stage and fish
age (Love, 1980, 1988; Clifford and
Brich, 1983; Vinagre et al., 2007). In
our study, the moisture content of tissue
was statistically equal among the
experimental groups. The moisture
content of tissue is also used as an
indicator of the nutritional condition of
fish (Sargeut et al., 1989). In this
respect, as the lipid content of body
tissues is used to provide energy to
starved fish, the moisture content of
tissue increases due to the oxydation of
lipids and thus production of water and
424
carbon dioxide (Sargeut et al., 1989). In
the present study, the lowest values of
glucose, tiglyceride and cholesterol
were observed in the SSS group. This is
likely
the
response
to
more
consumption of energetic compounds of
blood in response to acute starvation.
In conclusion, our results showed
that
starvation
has
significant
physiological and morphological effects
on Caspian brown trout parr. The main
effects were decrease in growth and
probable weakening of the blood
parameters. Thus, it is necessary to
optimize the feeding strategy during
unfaravable rearing condition.
Acknowledgments
The authors express their sincere
appreciation to the people who gave
their time, advice and support to this
study, including the manager (Mr.
Rezvani) and staff of the Kalardasht
Salmonids Reproduction centre, for
providing fish and technical assistance,
Mr. Maziar Akbarabadi, Kaviani and
Khodadadi.
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