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The Effect of Ambient Temperature on Some Biochemical Profiles of Black Bengal Goats (Capra aegagrushircus) In Two Different Agro-Climatic Zones in West Bengal, India

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Being a multipurpose animal goat can produce meat, milk and hide. India has a good number of Black Bengal goat populations, which has an important role in the lives of local goat rearers. The goal of the present study is to find out the effects of changing seasons on some biochemical parameters ofBlack Bengal goat (Capra aegagrushircus) in two different agro-climatic zones in India. The highest mean value of temperature (42.6 ± 1.5 ºC) has been reported during the month of April or May in the season of pre-monsoon in Purulia. However, the lowest value of temperature (8.6 ± 0.9 ºC) has been reported during the month of December or January in the season of post-monsoon again in Purulia. The parameter studied here are blood pH, blood glucose level, concentration of Hb, RBC count, PCV, MCV, MCH and MCHC. Data has analyzed for the effect of seasonal variation among in both the regions and the current findings implies that not only seasonal variation but the regional variation also influence the major biochemical responses of goats.
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IOSR Journal of Pharmacy and Biological Sciences (IOSR-JPBS)
e-ISSN: 2278-3008, p-ISSN:2319-7676. Volume 9, Issue 4 Ver. III (Jul -Aug. 2014), PP 32-36
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The Effect of Ambient Temperature on Some Biochemical
Profiles of Black Bengal Goats (Capra aegagrushircus) In Two
Different Agro-Climatic Zones in West Bengal, India
Mihir Bhatta1, Debasish Das1 ,Probal Ranjan Ghosh2
1(Department of Environmental Science, University of Kalyani, Kalyani-741235, West Bengal, India)
2(Department of Veterinary Physiology, West Bengal University of Animal & Fishery Sciences. 37 Khudiram
Bose Sarani, Kolkata-700037.West Bengal, India.)
Abstract:Being a multipurpose animal goat can produce meat, milk and hide. India has a good number of
Black Bengal goat populations, which has an important role in the lives of local goat rearers. The goal of the
present study is to find out the effects of changing seasons on some biochemical parameters ofBlack Bengal
goat (Capra aegagrushircus) in two different agro-climatic zones in India. The highest mean value of
temperature (42.6 ± 1.5 ºC) has been reported during the month of April or May in the season of pre-monsoon
in Purulia. However, the lowest value of temperature (8.6 ± 0.9 ºC) has been reported during the month of
December or January in the season of post-monsoon again in Purulia. The parameter studied here are blood
pH, blood glucose level, concentration of Hb, RBC count, PCV, MCV, MCH and MCHC. Data has analyzed for
the effect of seasonal variation among in both the regions and the current findings implies that not only
seasonal variation but the regional variation also influence the major biochemical responses of goats.
Keywords:Goats, pre-monsoon, post-monsoon, Purulia, Nadia
I. Introduction:
Goat being a multipurpose animal which can produce meat, milk and hide is an important choice to the
small and marginal farmers of India, especially West Bengal. Goat production in India makes a major
contribution to the agrarian economy (1). Here we choose among the several goat breeds of India, black Bengal
goats (Capra aegagrushircus) (2) majorly distributed throughout Eastern India and best in terms of meat and
leather quality (1). Although goats are known to be adapted to harsh environments but their productivity is
affected adversely by extreme climatic conditions. Lowering of food intake and decrease in meat as well as milk
production are commonly observed in heat stressed goat (3). In the present scenario of global climate changes,
the physiological response of goat to elevated temperature is a major focus to maintain the goat rearing a
sustainable venture (3).
Several biochemical markers are identified to assess the health status of goat exposed to stress (4). The
monitoring of blood constituents in a regular interval can predict the unnatural physiological condition and to
formulate strategies which may prevent massive loss in goat husbandry due to pathogens or climatic factors.
The present study was carried out to study seasonal as well as zone wise variation in different physio-
biochemical parameters of Black Bengal goat in two agro-climatic regions of India viz. Purulia, fall under
Eastern Plateau and Hills region(5)and Nadia, fall under Lower Gangetic Plains region(6) of India with special
reference to changes in ambient temperature.
II. Materials And Methods:
2.1 Animals: The animals used in this study were clinically healthy Black Bengal bucks of 2 3 years of
age and has an average body weight of about 15Kg showing no parasitic infestation. The animals were taken
from the local rearers of Lakshmipur village (23º 21’N, 86º5’E) of Purulia district and in Mohanpur farm
(22˚56ˊN, 88˚31ˊE) of Nadia district, both from the state of West Bengal, there are no feed restriction to the
goats. Animals were maintained in its ambient condition for four weeks prior to blood sampling.
2.2 Study areas: Planning Commission of India, in 2006 has demarcated the geographical area of
India into 15 agro-climatic regions.The present studies have been carried out into two agro-climatic zones of
India. These are as follows:
2.2.1. Purulia, fall under Eastern Plateau and Hills region of India (5). This agro-climatic zone is Located at
the southern tip of Bihar. Thirty per cent of the area is classified as forests and only about a quarter of the area is
cultivated. It receives about 1,200 mm of rainfall annually. The climate is moist sub-humid to sub-humid and
the soil is red loamy, red and yellow.Average annual rainfall is varies from 1100 to 1500 mm. The humidity is
high in monsoon season, from 75% to 85%. But in hot summer it goes down from 35% to 25%. Temperature
The Effect of Ambient Temperature on Some Biochemical Profiles of Black Bengal Goats ….
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varies over a wide range from 7°C in winter to 46.8°C in the summer. Due to undulated topography just about
fifty percent of the total rainfall flows away as run off (5). The total goat population of Purulia is 813191 (7).
2.2.2. Nadia, fall under Lower Gangetic Plains region of India (6). About 68% of the land is cultivated. The
soil of this sub-zone is deltaic alluvial and the climate is per humid to humid. Annual rainfall ranging between
1,200 mm and 1,700 mm. The zone has a tropical climate with a short spell of winter season. The hot season
lasts from mid-March to mid-June, with the day temperature ranging from 38°C to 45°C in different parts of this
region. The monsoon arrives by the month of middle June. Winter extends about three months; the average
minimum temperature not goes down below 10°C. Average rainfall of this area is 1,435.8 mm (6). The total
goat population of Nadia is 952143 (7).
2.3. Climatological measurement: The three year data on temperature of the study area has been collected
from the state meteorological department and the mean of the three years with standard deviation was calculated
(Table 1) using MS-Excel 2007 and shown here in a tabular form (Table 1).
Table 1. Mean maximum and minimum temperature of last three years
Purulia
Nadia
Seasons
Months
Max (ºC)
Min (ºC)
Max (ºC)
Min (ºC)
Pre-Monsoon
40.4 ± 2.3
21.6 ± 10.9
37 ± 2.45
16 ± 3.9
42.6 ± 1.5
21 ± 0.7
38 ± 1
19.4 ± 3.3
42.6 ± 1.5
22.4 ± 1.1
39.2 ± 1.5
23.4 ± 1.5
38.6 ± 5.0
23.2 ± 0.8
36 ± 4.7
23.6 ± 1.3
Post-Monsoon
32.0 ± 1.0
13.6 ± 1.1
31.6 ± 1.2
14.4 ± 2.8
30.8 ± 2.2
9.4 ± 1.7
28.75 ± 0.5
11.5 ± 1.3
30.0 ± 2.5
8.6 ± 0.9
28.6 ± 1.5
10.2 ± 1.6
34.6 ± 2.5
11 ± 2.5
32.2 ± 3.6
12.6 ± 3
2.4. Blood collection and clinical analysis: Data on blood parameters have been collected on apparently
healthy goats using purposive sampling technique (8) for the year and categorized into two seasons. The seasons
include pre-monsoon and post-monsoon. About 4 ml of blood was collected by jugular venipuncture from each
goat between 12 o’clock to 2 pm under the intense sun using disposable Vacutainer needles and tubes (9). The
collected blood has been dispensed into di-potassium ethylene di-amine tetra acetic acid (K2EDTA) vials and
labeled accordingly.The anticoagulants mixed blood then used to analyze for the packed cell volume (PCV),
erythrocyte or red blood cell (RBC), haemoglobin (Hb). Total erythrocyte count (TEC) or the RBC count
(calculated in 106/µl) has been done with the help of improved Neubauer counting chamber (10, 11). The total
hemoglobin (calculated in g/dl) concentration in blood has been determined by the Drabkins method
(cyanmethaemoglobin method) (12). Determination of Hematocrit value or PCV (in %) has been done by
hematocrit tube method andmean corpuscular volume ormean cell volume or MCV (infemtoliter per cell or
fl),mean corpuscular hemoglobin or MCH (in picogram per cell or pg) and mean corpuscular hemoglobin
concentration or MCHC (in %) have been calculated from the values of PCV, RBC and Hb (10). Blood pH has
been studied on field using pH meter. Blood glucose level (mg/dl) has been analyzed by glucose oxidase method
as modified by Gochman and Schmitz (13).
2.5. Statistical analysis: The statistical analysis of the data was performed using SPSS 21.01 (14).
Analysis of variance (ANOVA) test was used to determine the effects of season and the two different agro
climatic regions studied here on the parameters (15). Mean separation has been performed using MS-Excel
2007.
III. Results:
The result obtained from the present study reveals that in Nadia, blood pH (p<0.05) and blood glucose
level (p<0.01) in black Bengal goats are significantly increase during post-monsoon. When compared to the
post-monsoon hemoglobin level significantly (p<0.01) increase in pre-monsoon. During post-monsoon RBC
count non- significantly increase than in pre-monsoon. PCV, MCV and MCH values also show significant
(p<0.01) increase in pre-monsoon. MCHC shows no significant difference between the two seasons (Table 2).
Table 2. Effect of the seasonal variation on the bio-chemicals parameters in Nadia
Parameters (Units)
Pre-monsoon
Post-monsoon
Overall
P value
Blood pH
7.31 ± 0.06
7.63 ± 0.07
7.47 ± 0.31
0.018*
Glucose (mg/dl)
43.6 ± 6.27
59.25 ± 2.66
51.42 ± 9.3
0.00000027**
Hb ( g/dl)
12.7 ± 0.63
8.45 ± 1.5
10.58 ± 2.45
0.000000045**
RBC (millions/ mm3)
7.15 ± 0.98
9.188 ± 2.79
8.17 ± 2.28
0.14NS
PCV (%)
37.05 ± 1.86
26.07 ± 4.02
31.56 ± 6.4
0.00000017**
MCV (fl)
52.48 ± 6.02
29.9 ± 6.78
41.23 ± 13.11
0.00000069**
MCH (pg/ cell)
18 ± 2.02
9.87 ±2.16
13.84 ± 4.73
0.00000012**
MCHC (%)
33.91 ± 0.61
33.26 ± 0.82
33.59 ± 0.78
0.061NS
*: P < 0.05; **: P < 0.01; NS: not significant
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In Purulia, blood pH significantly (p<0.01) lowers whereas Hb level significantly increases with
concomitant decrease of TEC in pre-monsoon season.. PCV, MCV and MCH value also show significant
(p<0.01) increase in pre-monsoon similar to the trend found in Nadia (shown in Table 2). In Purulia blood
glucose level and MCHC value shows no significant difference between the two seasons (Table 3).
Table 3. Effect of the seasonal variation on the bio-chemicals parameters in Purulia
Parameters (Units)
Pre-monsoon
Post-monsoon
Overall
P value
Blood pH
7.32 ± 0.24
7.74 ± 0.12
7.48 ± 0.29
0.0002**
Glucose (mg/dl)
45.1 ± 5.75
48.23 ± 5.87
47.05 ± 5.88
0.25NS
Hb ( g/dl)
9.76 ± 0.5
8.54 ± 0.7
9.15 ± 0.9
0.0004**
RBC (millions/ mm3)
7.5 ± 1.5
9.59 ± 1.4
8.5 ± 1.8
0.005**
PCV (%)
28.65 ± 1.8
25.61 ± 2.1
27.31 ± 2.5
0.0008**
MCV (fl)
39.55 ± 7.9
27.28 ± 4.7
33.63 ± 8.9
0.003**
MCH (pg/ cell)
13.45 ± 2.6
9.1 ± 1.6
11.28 ± 3.1
0.003**
MCHC (%)
34.08 ± 0.8
33.35 ± 0.8
33.52 ± 0.8
0.34NS
*: P < 0.05; **: P < 0.01; NS: not significant
During the seasonal analysis, the blood pH value shows no significant difference between Purulia and
Nadia in the season of pre-monsoon. Blood glucose as well as Hb level increase significantly (p<0.01) in Nadia
where as RBC values shows no significant difference between the two regions in the season of pre-monsoon.
PCV, MCV and MCH values significantly increase (p<0.01) in Nadia during pre-monsoon. MCHC shows no
significant difference between the two regions (Table 4).
Table 4. Effect of the regional variation on the bio-chemicals parameters in pre-monsoon
Parameters (Units)
Purulia
Nadia
Over all
P value
Blood pH
7.32 ± 0.24
7.25 ± 0.25
7.31 ± 0.24
0.76NS
Glucose (mg/dl)
48.23 ± 5.87
59.12 ± 3.43
51.67 ± 7.3
0.00062**
Hb ( g/dl)
9.76 ± 0.5
12.7 ± 0.63
11.24 ± 1.6
0.0000000018**
RBC (millions/ mm3)
7.5 ± 1.5
7.15 ± 0.98
7.33 ± 1.2
0.549NS
PCV (%)
28.65 ± 1.8
37.05 ± 1.86
33.03 ± 4.48
0.0000000091**
MCV (fl)
39.55 ± 7.9
52.48 ± 6.02
46.23 ± 9.28
0.00074**
MCH (pg/ cell)
13.45 ± 2.6
18 ± 2.02
15.74 ± 3.25
0.00038**
MCHC (%)
34.08 ± 0.8
34.31 ± 0.65
34 ± 0.76
0.06NS
*: P < 0.05; **: P < 0.01; NS: not significant
During the season of post-monsoon, blood pH value only shows significant increase (p<0.01) in Nadia
than Purulia. All other values such are blood glucose; Hb, PCV, MCV and MCH show no significant difference
between two regions. MCHC also shows no significant difference between the two regions. The non significant
values suggest here that there are little physio-biochemical changes among the animals during the season of
post-monsoon in between those two regions (Table 5).
Table 5. Effect of the regional variation on the bio-chemicals parameters in post-monsoon
*: P < 0.05; **: P < 0.01; NS: not significant
Here we also calculate all the parameters in season wise to evaluate show the physiological changes
according to seasonal variation. The blood pH count has been significantly higher (p<0.01) in post-monsoon.
There are no significant differences in blood glucose value as well as RBC value between two seasons. Hb level
shows significant increase in pre-monsoon than post-monsoon. PCV, MCV as well as MCH values show
significant (p<0.01) decrease in post-monsoon. MCHC also shows no significant difference between the two
seasons (Table 6).
There are significant higher (p<0.05) pH value in Purulia than Nadia when compared among the
region. Blood glucose value shows no significant difference between two regions. PCV value has been
Parameters (Units)
Purulia
Nadia
Over all
P value
Blood pH
7.7375 ± 0.12
8.206 ± 0.22
7.99 ± 0.3
0.00007**
Glucose (mg/dl)
43.58375 ± 7.1
45.137625 ± 5.7
44.4 ± 6.3
0.63NS
Hb ( g/dl)
8.54 ± 0.7
8.45 ± 1.5
8.5 ± 1.1
0.864NS
RBC (millions/ mm3)
9.59 ± 1.4
9.188 ± 2.79
9.39 ± 2.16
0.689NS
PCV (%)
25.61 ± 2.1
26.07 ± 4.02
25.8 ± 3.1
0.748NS
MCV (fl)
27.28 ± 4.7
29.9 ± 6.78
28.63 ± 5.85
0.31NS
MCH (pg/ cell)
9.1 ± 1.6
9.87 ±2.16
9.39 ± 1.87
0.5NS
MCHC (%)
33.35 ± 0.8
32.35 ± 2
32.85 ± 1.57
0.159NS
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significantly (p<0.01) higher in Nadia whereas MCV and MCH significantly lower (p<0.05) in Purulia. MCHC
also shows no significant difference between the two regions studied here (Table 7).
Table 6. Effect of the seasonal variation on the bio-chemicals parameters on all the animals
Parameters (Units)
Pre-monsoon
Post-monsoon
Over all
P value
Blood pH
7.31 ± 0.24
7.99 ± 0.3
7.6 ± 0.44
0.00005**
Glucose (mg/dl)
44.4 ± 6.3
51.67 ± 7.3
48.33 ± 7.7
0.078NS
Hb ( g/dl)
11.24 ± 1.6
8.5 ± 1.1
9.87 ± 1.96
0.0053**
RBC (millions/ mm3)
7.33 ± 1.2
9.39 ± 2.16
8.36 ± 2.04
0.075NS
PCV (%)
33.03 ± 4.48
25.8 ± 3.1
29.44 ± 5.27
0.0068**
MCV (fl)
46.23 ± 9.28
28.63 ± 5.85
37.43 ± 11.75
0.0026**
MCH (pg/ cell)
15.74 ± 3.25
9.39 ± 1.87
12.56 ± 4.14
0.0019**
MCHC (%)
34 ± 0.76
32.85 ± 1.57
33.42 ± 1.34
0.15NS
*: P < 0.05; **: P < 0.01; NS: not significant
Table 7. Effect of the regional variation on the bio-chemicals parameters on all the animals
Parameters (Units)
Purulia
Nadia
Over all
P value
Blood pH
7.48 ± 0.29
7.47 ± 0.31
7.6 ± 0.44
0.048*
Glucose (mg/dl)
47.05 ± 5.88
51.42 ± 9.3
48.3 ± 7.7
0.24NS
Hb ( g/dl)
9.15 ± 0.9
10.58 ± 2.45
9.9 ± 1.96
0.019*
RBC (millions/ mm3)
8.5 ± 1.8
8.17 ± 2.28
8.4 ± 2.04
0.57NS
PCV (%)
27.31 ± 2.5
31.56 ± 6.4
29.4 ± 5.3
0.008**
MCV (fl)
33.63 ± 8.9
41.23 ± 13.11
37.4 ± 11.75
0.039*
MCH (pg/ cell)
11.28 ± 3.1
13.84 ± 4.73
12.6 ± 4.14
0.049*
MCHC (%)
33.52 ± 0.8
33.33 ± 1.76
33.4 ± 1.34
0.671NS
*: P < 0.05; **: P < 0.01; NS: not significant
IV. Discussion
During the experimental period, the animals (here black Bengal goat) have been exposed to marked
seasonal changes in ambient temperature. Seasonal changes influence the physiological responses of the animals
in dissimilar way. It is known that each and every individual biological organism is somehow different from
other individuals of same group. So, their responses to same environment can be different from others. The goat
body temperature rises along with the elevated ambient temperature, which secondarily increase the water
uptake by the goat (16, 17). Under subtropical conditions, the water consumption of goats has been much higher
during pre-monsoon than in post-monsoon (18). The enormous drinking of water reduces the feed intake in
extreme heat condition in pre-monsoon (19). These nutritional modifications are manipulating the composition
of blood in goats (20).
Blood pH values in pre-monsoon are lower than post-monsoon in both the region i.e. Purulia and Nadia
(Table 2, 3, 5 and 6). It shows that during season of high ambient temperature arterial blood becomes more or
less acidic, which may be an outcome of nutritional modification happens at that time. Goats from Purulia
always show lower pH values in blood (Table 4 and 7), which may be an effect of regional variations. Blood
pH also a has relation with thedifferent bio-physical parameters likearterial blood pressure, blood gases, rectal
temperature, heart and respiratory rates (21) and variation among them also cause variation in blood pH values
(21). The blood glucose level always has been higher in post-monsoon. This is most likely due to the fact that
during pre-monsoon season glucose consumption has been high in the body since there was less forage to
intake. To afford more energy to the animal in order to disperse more heat to maintain the body temperature at
normal level, and in the season of pre-monsoon, the feed intake is depressed due to high ambient temperature
which confirms with the findings of other workers (22). This may be the same reason for having lower blood
glucose level in Purulia than Nadia.
Decline in erythrocyte or RBC count in Purulia and Nadia during the season of pre-monsoon may be
related to decrease of thyroid hormones secretion which is related to declining the process of erythropoiesis
(23). The higher mean values of erythrocyte count in Purulia and Nadia (Table 5) during p ost-monsoon in the
present study may be associated with improvement of nutritional status of goats, which is supported by other
workers in sheep (24, 25). The present results for seasonal changes in erythrocyte count are similar as the other
workers. Who had been (26) reported higher values of PCV and Hb during pre-monsoon compared to the post-
monsoon but some other workers (27) found that decline in erythrocyte count along with sharp decline in PCV
and Hb count in the season of pre-monsoon. Cameroon goats kept in temperate environment (28) shows lower
values of Hb, PCV and RBC total count in post-monsoon. These variations of responses of goats may be
attributed to divergence in ambient temperature as well as the variation in agro-climatic regions.
The current results indicate that MCV and MCH values have been significantly low in post-monsoon
(Table 2, 3 and 6) in both Purulia and Nadia. It is also observed that throughout the year MCV and MCH values
are comparatively higher in Nadia (Table 4, 5 and 7). The lowest mean MCV value (27.28 fl) has been obtained
in the season of post-monsoon in Purulia with the highest number of mean erythrocyte counts (9.59
millions/mm3). The low MCV value obtained could be connected to the negative correlation among size and
The Effect of Ambient Temperature on Some Biochemical Profiles of Black Bengal Goats ….
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number of erythrocytes (29). MCV and MCH values obtained in the present study during post-monsoon are in
general accordance with the findings of other workers (30), who reported higher MCV and MCH values in post-
monsoon condition.
MCHC values remain unchanged throughout the year as well as in two different agro-climatic regions.
The constant values of MCHC in the current study may be documented to associated increase or decrease in Hb
concentration or PCV levels. As many workers (19) reported more or less steady level of MCHC during
different seasons.
Due to wide range of undulated topography in Purulia about fifty percent of the total rainfall flows
away as run off (4) so through the year there are less forage to graze and in the season of pre-monsoon the
condition of animals become severe due to least forage availability and scarcity of water. These may be the
cause behind the significant variation of biochemical parameters of goats between the two seasons before and
after monsoon in Purulia and in between the regions Purulia and Nadia. On the other hand the animals in Nadia
get chance to graze throughout the year with less water scarcity. The variation of biochemical responses of
goats, in Nadia occurs only due to the seasonal variation. So, now we can conclude that the seasonal changes or
the changes in ambient temperature may not only the factor that influences the physio-biochemical response of
goats there are some effects of regional variations are also present.
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... The biochemical parameters of dairy bovines are quite responsive to alteration in different climatic variables (Farooq et al., 2017). Such variations may be either due to altered feed intake (Bhatta et al., 2014) or declined metabolism (Marai et al., 2007) in dairy animals. Elevated Verma et al. ...
... In this study, a higher serum glucose concentration in cooled heifers may be because of increased DMI due to efficient heat loss through evaporative cooling under relatively comfortable microclimate. However, declined serum glucose level in group T0 could be explained by the additional requirement of energy to maintain homeothermy followed by reduced feed intake (Bhatta et al., 2014). The values of serum total protein, albumin, and globulin concentrations were comparable within the normal physiological range which is supported by Kamal et al. (2016), while contradictory findings were observed by Vijayakumar et al. (2011) in buffalo heifers. ...
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The present investigation evaluated the effect of microclimate modification on feed intake, growth performance and hemato-biochemical profile of Murrah buffalo (Bubalus bubalis) heifers during summer. Twenty-four buffalo heifers, between 15-20 months of age with an average body weight 363.75 ± 11.27 kg, were randomly assigned to 4 groups based on their body weight. The heifers of T0 (control) group were kept under the shed without any cooling treatment, while the animals in group T1 were tied with a cooling jacket. Buffalo heifers of group T2 were subjected to cooling jacket with forced ventilation and animals in group T3 were treated with intermittent sprinkling (10 min, at 2 h intervals) and forced ventilation between 9.00 AM to 6.00 PM during the experiment. The ambient temperature inside the shed and core body temperature were reduced in groups T1, T2 and T3 compared to T0. Heifers had higher dry matter intake when subjected to cooling treatments T1, T2 and T3, whereas water intake was reduced in T2 and T3 groups. The animals in T2 and T3 groups attained higher average daily weight gain, while the feed conversion was better in T3 group compared to T0. The haematological measures such as haemoglobin, total erythrocyte count and total leucocyte count were found higher in T0. Furthermore, serum glucose, sodium and potassium levels increased in treatments T1, T2 and T3, whereas alkaline phosphatase activity declined in groups T2 and T3 when compared to T0. It can be concluded that provision of intermittent sprinkling and cooling jacket in combination with forced ventilation could improve the microclimate, which in turn could enhance the performance of Murrah heifers during hot summer days in the tropics.
... In the present study, the IT and THI had no effect in TEC values of breeds during the entire study period and the TEC values were within normal range. This study was similar with Hassan et al. (2013), Bhatta et al. (2014). In the latter study they found no changes in TEC levels in Beetal goats during post monsoon (34.6 o C) and pre monsoon (42.6 o C). ...
... In the case of Malabari goats there was a drastic change in TLC indicating heat stress induced immune system activation. Alam et al. (2011), Bhatta et al. (2014, Okoruwa (2014) and Habibu et al. (2017) who found an elevated Hb in goats in the afternoon than in the morning which could be due to high demand for oxygen which in turn necessitated high concentration of red blood cells to support respiratory activity under heat stress condition. ...
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The study was conducted to investigate the association of temperature humidity index (THI) during summer with haematological responses in Malabari, crossbred and Attappady goats of Kerala. The research work was conducted at University Goat and Sheep Farm, KVASU, Mannuthy, Thrissur district in Kerala from March to May, 2020. In-house temperature and in-house relative humidity were measured daily at 7.00 AM, 10.00 AM, 2.00 PM and 5.00 PM. Haematological parameters such as total erythrocyte count (TEC), total leucocyte count (TLC), haemoglobin concentration (Hb), volume of packed red cells (VPRC), mean corpuscular volume (MCV) and mean corpuscular haemoglobin concentration (MCHC) were analysed during 2nd, 32nd day and 60th day of the study. There was no significant change in TEC, VPRC levels in between the breeds and within the observed days. However, TLC were significantly increased for Malabari goats and MCHC were significantly increased in all the breeds at 32nd day of study period. The Hb concentration were significantly increased in crossbred and Attappady black at 32nd day of study period. There was a significant decrease in MCV values in 2nd and 32nd day for all the breeds. The study demonstrated certain altered hematological features in all the breeds under study indicating the adaptive ability of these animals during heat stress.
... Serum biochemical profiles have been used extensively by veterinarians to evaluate nutritional, health, and metabolic status of ruminants [21] . Seasonal variation has a profound effect on serum biochemical parameters [22] due to altered feed intake [23] , reduced metabolism [24] and changes in the blood plasma concentration [25] . Heat stress depresses feed intake in goats however more energy is required by these animals to disperse more heat to maintain their body temperature at a normal level during summer [23] . ...
... Seasonal variation has a profound effect on serum biochemical parameters [22] due to altered feed intake [23] , reduced metabolism [24] and changes in the blood plasma concentration [25] . Heat stress depresses feed intake in goats however more energy is required by these animals to disperse more heat to maintain their body temperature at a normal level during summer [23] . Thus to meet the increased energy requirement despite low dry matter intake during heat stress the animal body responds by producing energy through hepatic gluconeogenesis [26] through activation of hypothalamichypophyseal-adrenal axis and cortisol release [24] . ...
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The objective of the study is to assess the seasonal variation in the body condition and haemato-biochemical parameters of Tellicherry does under semi-arid summer climate. 40 Tellicherry does age around 2-2 ½ years were utilized for the study. Bodyweight, body condition and blood samples were collected from the does at fortnight intervals during the summer, rainy and winter season. The does exhibited better body weight and body condition during the monsoon and winter season (P< 0.01). The highest Hb and PCV concentration were recorded during the monsoon season (P< 0.01) followed by winter. The RBC count was lower during the summer season (P< 0.01) while the WBC count was found elevated during the winter season (P< 0.01). BUN was elevated during the winter season (P< 0.01). AST was elevated during both summer and winter season (P< 0.01). TP, Ca and P were elevated during the summer season (P< 0.01). Na concentration remained unchanged during all the season while K concentration was lowest during the winter season (P< 0.01). However, all these changes were within the reference range for goats. The results indicate that the Tellicherry does were better adapted to the varied seasons of Tamil Nadu.
... Several studies showed that seasonal variation in AT and RH have profound effect on some serum biochemical parameters (Rasooli et al. 2004;Farooq et al. 2017), such changes in biochemical parameters are due to altered feed intake (Bhatta et al. 2014), reduced metabolism (Marai et al. 2007) or due to changes in the plasma concentration of blood (Rowlands et al. 1979). The plasma glucose concentration was significantly lower in pre-monsoon followed by monsoon and post-monsoon. ...
... In contrary (Okoruwa 2014) showed significantly higher glucose levels in heat stressed West African dwarf goats, which may be due to heat stress induced activation of hypothalamohypophyseal-adrenal axis, cortisol release and subsequent gluconeogenesis (Marai et al. 2007). The decreased glucose concentration in pre-monsoon and monsoon compared to post-monsoon could be due to more energy requirement to the animal in order to disperse more heat to maintain the body temperature at normal level or could be due to heat stress induced depressed dry matter intake (Bhatta et al. 2014). ...
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The objective of the present study was to assess the impact of season on haematological and biochemical parameters of crossbred female calves. Seven crossbred female calves of 6–12 months of age were selected. The study was conducted in three different spells of 30 days each in pre-monsoon, monsoon and post-monsoon seasons. Ambient temperature (AT), relative humidity (RH) and temperature humidity index (THI) was recorded in all the three seasons. Whole blood was collected for estimation of haematological and plasma was used estimation of biochemical parameters. Highest AT and THI was recorded in pre-monsoon while highest RH was recorded in monsoon. The study revealed that season had no effect on haematological parameters such as total leucocyte, haemoglobin, packed cell volume, mean corpuscular volume, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, while total erythrocyte count was significantly lower in monsoon compared to pre and post-monsoon seasons. Glucose and cholesterol were significantly lower in pre-monsoon and monsoon compared to post-monsoon. Glutathione peroxidase activity was significantly higher in pre-monsoon compared to monsoon and post-monsoon. No significant difference between seasons in the concentration of total protein, albumin, globulin and albumin globulin ratio was noticed. The results indicate that hot conditions have profound effect on haematological and biochemical parameters of crossbred calves.
... Hence, by extension is the result of the synergy of different physiological, climatic, and feeding factors during the whole of the year. Increased ambient temperature reduced the dry matter intake resulting in differential milk composition (Bhatta et al., 2014). Bansal et al. (2009) reported that fat and protein content was higher in mid-April than in early February whereas lactose content was higher in early February than in mid-April. ...
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The compositional quality of milk is the outcome of the synergy of various biological processes within the cow and its external environment. The objective of this study was to investigate the effect of season on the compositional quality of milk in Jersey cows of Zimbabwe. The study material consisted of 813 records of a total of 60 head of Jersey cows collected from a commercial dairy farm in Matabeleland South province in Zimbabwe. For the analysis three seasons were defined: 1-Warm Wet (December-March), 2-Dry Cool (April-August), and 3- dry hot (August-November). Chemical compositions (fat, protein, lactose, SNF, salt) as well as the freezing point, density of collected milk samples were carried out by using the Milk Analyzer (Lactoscan, UK). Statistical data processing was carried out by applying the General Linear Model procedure, SAS system (1999). Duncan multiple range test was used to compare the means within a group, difference was considered as significant if (P≤0.05) and the results were presented as Mean±SE. The mean fat percent were 4.94±0.05, 4.62±0.08, and 4.56±0.05, and mean protein percent were 3.72±0.02, 3.50±0.03, and 3.49±0.03 for warm wet season(December-March) dry cool season (April-August), and dry hot (August=November), respectively. The warm wet season had maximum milk urea nitrogen (17.24 ±0.54mg/dl) while the dry cool season (April-August) had the minimum milk urea concentration of 12.38±0.82. The results showed that milk collected in the warm wet season (December-March) had significantly higher fat and protein as compared to dry cool season(April-August) and dry hot (August=November). However, no seasonal variation was evident in total milk solids (TS; %), solids non-fat (SNF, %), and milk density. Moreover, lactose (4.74%) contents were high in the dry hot season (August-November), while maximum milk urea nitrogen content (17.24%) was observed in the wet warm season. The mean concentration of milk urea nitrogen in the study of 14.84±4.60 mg/dl indicates a good balance of energy and protein in the diet. Fat, protein, lactose, and milk urea nitrogen contents of milk significantly varied with the season. Synchronous changes in protein and fat percent in raw milk were much more distinct as the season progresses through the wet and dry season.
... The decreased glucose concentration in dry and short rainy seasons compared to long rainy seasons could be due to more energy requirement to the animal to disperse more heat to maintain the body temperature at a normal level or could be due to heat stress-induced depressed dry matter intake [43]. Similarly, Nikhil et al. [21] also reported significantly lower glucose in pre-monsoon followed by monsoon and post-monsoon in crossbred female calves in hot and humid tropics. ...
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Fogera cattle are among indigenous breeds of cattle in the northern part of Ethiopia. However, their response to heat stress (HS) under different seasonal variations has not been well investigated. This study was aimed to determine physiological, hematological, biochemical, and growth parameters of Fogera cattle calves to HS during dry season, short rainy, and long rainy. A total of 72 calves (24 for each season) that were 6 months of age with an equal number of males and females were evaluated for physiological, hematological, biochemical, and growth parameters. Daily ambient temperature (AT) and relative humidity (RH) were recorded two times per day during the study periods from which the daily average temperature–humidity index (THI) was calculated. The study revealed higher AT and THI during dry and short seasons while higher RH was observed during the long rainy season. Physiological parameters except rectal temperature were affected by the seasons. Hematological parameters were also affected by season except for packed cell volume. Biochemical and growth parameters were also significantly affected by the seasons. THI was positively related with physiological but negatively with growth parameters. Thus, the THI value of 66 can be considered as optimum for high weight gain and normal physiological response to HS in Fogera cattle calves under their current production system.
... However, our result was not in accordance with previous results in Zarabi goats where an increase in the serum total protein was recorded during heat stress (Attia 2016) and partially in confirmation with a decrease in total protein and albumin in heat-stressed Balady goats. A decrease in serum glucose concentration was recorded during heat stress (Pandey et al. 2012;Bhatta et al. 2014;Macias-Cruz et al. 2016) which was not in accordance with the results of the present study. The increase in the albumin concentration of serum may be attributed to the fact that albumin is the major extracellular source of thiols (which are scavengers of free radicals), thus making albumin to act as an antioxidant. ...
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The foremost reaction of animals under thermal stress is increase in respiration rate, rectal temperature and heart rate which directly affects feed intake thereby, reduces growth rate, milk yield, reproductive performance, and even death in extreme cases. In the present study polymorphism in SOD3 gene was identified and their relation with physiological vital parameters like rectal temperature, skin temperature, heart rate, pulse rate and respiration rate alongwith biochemical parameters like serum levels of albumin, bilirubin, total proteins, creatinine, urea, total cholesterol, high density lipoprotein (HDL) cholesterol, triglycerides, asparate aminotransferase (AST) and ALT was estimated during heat stress. Temperature-humidity index (THI) was calculated for different regions and statistical analysis was performed to find out any association of THI with physiological vital parameters and biochemical parameters. The higher value of physiological vital parameters indicated that heat stress may be the most probable cause for such significant difference. The haplotypes were identified after PCR amplification and sequencing of the SOD3 gene. The CGC and CAA haplotypes showed lower values of physiological vital parameters making these haplotypes to be more heat tolerant than others. The study of biochemical parameters revealed the similar results establishing superior heat tolerance capacity in CGC and CAA haplotypes.
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In the present experiment effects of silver nanoparticles (AgNPs) on various heamatological parameters and total protein content of some selected tissues (i.e., muscle, liver, kidney and gill) of an Indian fresh water fish, Channa punctatus was evaluated. Two different concentrations of biologically synthesized AgNPs (100% and 50%) were intra-muscularly injected to the experimental fish is respect of distilled water treated control at different fixation intervals (viz., 6 hr, 24 hr, 72 hr, 96 hr, 7 day and 15 day). Treatment of AgNPs (100% and 50%) to the experimental fishes showed a significant decrease in number of the red blood cells and increase in number of white blood cells particularly at the longer fixation intervals (7 and 15 days) in respect of distilled water treated control. Total protein content of liver and kidney showed significant increase during 15 and 30 days of exposure compared to the control. In the contrary, total protein content of gill and muscle showed a significant decrease after exposure to AgNPs in respect of the control.
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By complement fixation test 230 blood samples from goats and he goats were examined for presence of antibodies against Brucella ovis. 134 blood samples were from goats (23 of them were from slipping goats) and 96- from he goats. The animals come from private farms in the Plovdiv and Pazardzhik regions (Southern Bulgaria). 10.87% of all tested blood samples contain antibodies against Brucella ovis. Differences in the percentage of the positive reagents of different goat categories were found. The highest percentage was among slipping goats (39.13% towards to 11.71% among the healthy goats and 3.13% among he goats). It can be concluded that goats play an important role in the epidemiology of the disease. The greatest risk is slipping goats bred together with sheep flocks.
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Informant selection is highly relevant for ethnobotanical research, as people are constantly looked upon for knowledge and information. The purposive sampling technique is a type of non-probability sampling that is most effective when one needs to study a certain cultural domain with knowledgeable experts within. Purposive sampling may also be used with both qualitative and quantitative research techniques. The inherent bias of the method contributes to its efficiency, and the method stays robust even when tested against random probability sampling. Choosing the purposive sample is fundamental to the quality of data gathered; thus, reliability and competence of the informant must be ensured.
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Ten Merino wethers in the dry subtropical region of "Gilruth Plains", Cunnamulla, Qld., were shorn in November during a period of sunshine with maximum temperatures between 36 and 38°C. The content, distribution, and turnover of water were estimated before and after shearing. There was no significant change in total body water but the thiocyanate space increased by 12%, the plasma volume by 17%, and the plasma proteins were diluted by 17% after shearing. Water turnover rose from 81.5 to 159 ml/kg/24 hr. There was a correlation (v = 0.68) between the increase in respiratory rate which took place when the sheep were standing in the sun and the increase in water turnover during the same period. It is estimated that an average increment of 1550 kcal/24 hr in heat load from insolation occurred as a result of the removal of fleece during exposure to summer sun. The greater water turnover from evaporative cooling was associated with increased extracellular fluid space.
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The effect of age (5 or 8 months old) on the fractional outflow rate (FOR) of chromium (Cr)-treated soya from the rumen of Chios lambs and Damascus kids (five animals per age group per species) was studied in Trial 1. The effect of season (spring, summer, winter) on the FOR of Cr-treated soybean meal (SBM) from the rumen, water consumption and ruminal fermentation pattern was determined in Trial 2 using four dry, mature, rumen fistulated Chios ewes and four Damascus goats per season.There was no difference in feed dry matter (DM) intake per kg0.75 body weight (BW) between species in both trials. In Trial 1, neither animal species ( ) nor age ( ) affected FOR of Cr-treated SBM from the rumen. Moreover, there was no effect (P > 0.1) of animal species and season on ruminal pH, NH3-N and acetate molar proportion (Trial 2). Season affected propionate (P < 0.007) and butyrate (p < 0.005) molar proportions and water consumption. Water consumption was greater (p < 0.001) in summer than in winter and spring, but not different between spring and winter. Ewes consumed more water (p < 0.05) and had greater butyrate molar proportion (p < 0.005) and total volatile fatty acid concentration (P < 0.003) than goats. DM degradability of straw incubated in the rumen for 48 h was similar in ewes and goats, and was not affected by season. The FOR of Cr-treated SBM from the rumen was faster (P < 0.022) in goats than in ewes. Season had only a small and non-significant (P > 0.1) effect on FOR. Due to differences of results among trials, it does not seem advisable to propose, at least at present, different FOR for sheep and goats, and for different seasons of the year and/or between growing lambs and kids of varying age.