Research Article (Open access) |
---|
SSR Inst. Int. J. Life. Sci.,
5(3):
2317-2321,
May 2019
Factors
Influencing Cystic Ovarian Disease in Holstein Friesian (HF) Crossbred Cattle
Harini Hombalegowda1*, Nagaraja Ramakrishnappa2, Naveen
Kumar Siddaraju3, Nagaraja Chikkalure Sringeshwaraiah4, Sudha
Guelal5
1PhD Scholar, Department of Animal Genetics and Breeding, Veterinary College, Hebbal, Bengaluru, Karnataka,
India
2Dean, Veterinary College, Gadag, Department of Animal Genetics and
Breeding, Veterinary College, Hebbal, Bengaluru, Karnataka, India
3Associate Professor (I/c) & Head, Department of Animal Genetics and
Breeding, Veterinary College, Hebbal, Bengaluru, Karnataka, India
4Principal Scientist and Head, AICRP on Poultry,
Department of Poultry Science, Veterinary College, Hebbal,
Bengaluru, Karnataka, India
5Associate Professor (I/c), Department of Veterinary Gynaecology and Obstetrics, Veterinary College, Hebbal, Bengaluru, Karnataka, India
*Address for Correspondence: Dr. Harini
Hombalegowda, Ph.D. Scholar, Department of AGB,
Veterinary College, Hebbal, Bangalore, Karnataka, India.
E-mail: harinigowda822@gmail.com
ABSTRACT- BACKGROUND: Cystic Ovarian Disease
(COD) is an important ovarian dysfunction and a major cause of reproductive
failure in dairy cattle. The present study was carried out with the objective
to determine the factors influencing Cystic Ovarian Disease in HF crossbred cows.
METHODS: The study was undertaken on 155 Holstein Friesian (HF) crossbred
cows. Age, parity and body
condition score (BCS) were recorded. Statistical analysis was done to know the influence of age, parity and
BCS on the occurrence of COD by Graph Pad
Prism software.
RESULTS: Significantly higher
proportions of COD cases were reported in the animals of 5 to 7 years age group
and least in the age group of greater than 7 years old. Significantly higher
proportions of COD cases were observed in 2nd and 3rd lactation
cows and less in heifers as well as animals in 4th and above
lactation. The incidence of ovarian cysts was
highest in the cows having good body condition scoring (BCS-3), followed by
cows having very good BCS (3.5), followed by fat cows (BCS-4) and least in animals
having BCS 2 and 5.
CONCLUSION: The study revealed that the age, parity and BCS of the animal
influence the risk factors for cystic ovarian diseases; however, similar such
studies are needed to support the current results.
Key Words:
BCS, Crossbred cattle, Cystic ovarian disease, HF, Gynaecological
disorders, Parity
INTRODUCTION- Ovarian cyst (OC) is a common and economically significant condition of dairy cattle [1]. Various gynaecological disorders impede the progress of dairy industry [2]. Epidemiological surveys on different gynaecological diseases help in diagnosis and proper treatment of infertility cases in field condition [3]. Simultaneously with this selection for production characteristics, dairy cow fertility has declined significantly [4]. Cystic cows have extent calving- to-conception and calving intervals by many days over unaffected one, resulting in significant economic losses in the dairy industry [5]. A number of factors have been associated with an increased risk of Cystic Ovarian Disease (COD) at the individual animal level. These include parity, constitutional weakness, body condition score and genetic factors [6]. Age, parity and BCS (Body Condition Score) are the important factors postulated to influence the occurrence of COD. Milk yield has been identified as a risk factor in some studies but not in others. It is likely that this effect is dependent on the energy status of the cow, rather than the milk yield. High milk yield may contribute to negative energy balance resulting in metabolic and hormonal adaptations, which influence follicle growth and cyst development [7]. In the present study an effort is made to know the influence of age, parity and BCS on the occurrence of COD.
MATERIALS AND METHODS
The present study was undertaken on 155
Holstein Friesian (HF) crossbred cows from villages of Ramanagara
district, adjoining villages of Bengaluru district
and cows maintained at Department of Livestock Farm Complex (LFC), Veterinary
College, Bengaluru, India.
Study conducted
for the period of two years between January 2016 to December
2017. The experimental animals were divided into two
groups viz., COD affected (105) and
COD unaffected/ apparently healthy (50) animals as a control group.
Identification of COD affected HF crossbred cattle was done based on the
history, clinical symptoms, per rectal palpation and ultrasound scanning of
ovarian structures.
The
ovaries were palpated to detect cystic condition. Cysts were diagnosed with
their specific characteristics during rectal palpation [8]. During
rectal palpation, COD affected cases were identified based on their large sized
ovaries having a fluctuating structure. The follicular cysts were identified based
on their thinner-walled, tensed and distended structure than the softer thicker
walled luteal cysts. The follicular cyst and luteal cyst have smooth surface, indicating absence of
ovulation. Following rectal palpation animal was subjected to transrectal ultrasonographic
examination of ovaries using real time b-mode scanner equipped with 5 - 7.5 MHz
linear array portable ultrasonographic machine (Honda
Electronics, HS-2000, Japan) to confirm the presence
of cysts. Animals that formed the COD unaffected/ control group were selected
based on history of regular calving, estrus and confirmation through per rectal
examination. Reproductive parameters such as age, parity, Body Condition Score
(BCS), milk yield, calving complications, puerperal complications and number of
services per conception were recorded using questionnaire.
The age parity and BCS (Body Condition
Score) of the animals were recorded. The active reproductive age of cows was categorized into
three groups viz.,
less than five years old, five to seven years old and more than seven years
old. Parity of the cow was classified into five groups
viz., heifer, 1st, 2nd,
3rd and 4thand above. The BCS was visually
scored using a 5 point system (1= Emaciated, 2= Thin, 3=Average, 4= Fat, and 5=
Obese) as described by Edmonson et al.
[9].
Statistical Analysis- Statistical analysis was done to know the influence
of age, parity and BCS on the occurrence of COD by GraphPad
Prism software [10].
RESULTS-
In the present study,
the influence of age, parity and COD on occurrence of COD in HF crossbred cows
was evaluated. Out of 105 affected animals 31 animals
were less than 5 years of age, 61 animals were in the age group of 5-7 years,
13 animals were more than 7 years of age. In parity group, 14 animals were
heifers, 21 animals were of first parity, 27 animals were of second parity, 26
animals were of third parity, and 17 animals were of
fourth and above parity. In BCS group, 77 animals were of good BCS, 12 animals
were having very good BCS, 11 animals were fat, 3 animals were having moderate
BCS and one animal was obese. Significance was checked by GraphPad Prism software by
comparing observed and expected frequencies.
The highest incidence of COD was
recorded in 2nd lactation, in the age group of 5-7 years and also
animals having good BCS. Significantly ( P<0.001) higher proportions of COD cases were
reported in the animals of 5 to 7 years age group followed by cows in the age group of lesser than 5 years
and least in the age group of greater than 7 years. Significantly (P<0.001)
higher proportions of COD cases were observed in 2nd and 3rd lactation
cows and less in heifers as well as animals in 4th and above
lactation. The nutritional status of affected cows was graded
in terms of BCS. Animals were classified on 1-5 score scale with an increments
of 0.5 score, which indicates emaciated, very poor, poor, moderate, good, very
good, fat, adipose, and obese animal. The incidence of ovarian cysts was
highest in the cows having good body condition scoring (BCS-3), followed by
cows having very good BCS (3.5), followed by fat cows (BCS-4) and least in
animals having BCS 2 and 5. No COD cases were found in the animals of BCS 1,
1.5 and 4.5.The
details of the proportion of COD cases observed in age, parity and BCS groups
are presented in Table 1.
Table 1: Proportion of cystic ovary with respect to age,
parity and BCS
S.
No. |
Parameters |
Group/
Category |
No. of animals |
Animals
% |
Chi
square P-value |
|
1 |
Age |
< 5 Years 5-7 Years >7 Years |
31 61 13 |
29.52 58.10 12.38 |
<0.001 |
|
2 |
Parity |
Heifer 1st 2nd 3rd 4th and above |
14 21 27 26 17 |
13.33 20.00 25.71 24.76 16.20 |
<0.001 |
|
3 |
BCS |
Description |
BCS |
|
|
<0.001 |
Emaciated |
1.0 |
0 |
0 |
|||
Very poor |
1.5 |
0 |
0 |
|||
Poor |
2.0 |
1 |
0.95 |
|||
Moderate |
2.5 |
03 |
2.86 |
|||
Good |
3.0 |
77 |
73.33 |
|||
Very good |
3.5 |
12 |
11.43 |
|||
Fat |
4.0 |
11 |
10.48 |
|||
Adipose |
4.5 |
0 |
0 |
|||
Obese |
5.0 |
01 |
0.95 |
BCS= Body condition
score
DISCUSSION-
Age,
parity and BCS were the important factors postulated to influence occurrence of
COD. The highest incidence in the cows
above 4 years of age, followed by cows in the age group of 2-4 years and lowest
in the age group of 1 - 2 years [11]. The highest incidences of ovarian
cysts occur in the 3 - 5 year age group of in Holstein cows [12].
The incidence of cystic ovarian
disease was highest in 2nd parity and was reduced thereafter, as
reported by Roberts [13]. Contrarily, Mimoune
et al. [14] have reported
a higher incidence of COD in 3rd lactation, Hernendez-Ledezma et al. [15] have observed that the
incidence of cystic ovary increased from 8.4 percent in primiparous
cows to 25.9 percent in cows of 5th lactation. In the present study,
no cyst was observed beyond 5th lactation, which was similar to that
reported by Bhattacharyya et al. [16]. Out of 105 HF crossbreds examined, 14 heifers were affected by
COD and it may be due to the genetic nature of the disease. The likelihood of
COD occurrence increases with parity. This may be the result of other
pathological and physiological conditions which are related to increasing
parity, e.g. milk fever [17]. The COD incidence was reported
more in 4th parity in a study conducted in Norwegian dairy cattle by
Nelson et al. [18]. Stadnik et al. [19]
reported that the
group with BCS≤3.75 had lower ovarian cystic cases (8.98%
animals), when
compared with other BCS groups of cows with BCS 4 - 4.25 (22.86
% of animals) and ≥4.50 (21.50% animals). Normally, excessive BCS is
highly related to ovarian cystic cases [20]. BCS significantly
(P<0.05) affected to the ovarian cysts in Fleckvieh
cows. Especially over-conditioning may be referred to weak fertility or
nutrition programs in dairy farms. That’s why preventing cows from high BCS
should principally be considered to obtain fertile cows [19]. Further, body
condition may be expected to fall if feed intake declines during periods of
high heat and humidity [21]. During late lactation the cow in 200
days of lactation and the BCS should be between 2.75 and 3.50 [22]. In the current study,
all the animals were in mid and late lactation and no animals were in early
lactation. Most of the animals in good and have very good BCS so, no NEB is
seen in these animals.
CONCLUSIONS- The incidences
of ovarian cysts was highest in the cows aged more than five years and above,
followed by cows in the age group of below 5 years and least in the age groups
over more than 7 years of age. This shows that the age, parity and BCS are the
possible risk factors for COD in crossbred dairy cattle, especially in HF
crossbreds.
However, further studies leading such
results are needed to be conducted in a large number of experimental samples to
ascertain the results. Therefore these risk factors should be evaluated in the
larger population prior to their use in the animal breeding.
ACKNOWLEDGEMENTS-
This
was a part of Ph.D. thesis, funded by KVAFSU, Bidar,
so we are all thankful to the University. The technical assistance was given my
all advisory members during the tenure of my research, hence I am greatly
indebted to my all the teachers and particularly my guide Dr. Nagaraja R.
CONTRIBUTION
OF AUTHORS
Research concept- Harini Hombalegowda, Nagaraj Ramakrishnappa
Research
design- Harini Hombalegowda, Nagaraj Ramakrishnappa
Supervision- Nagaraj Ramakrishnappa, Naveen
Kumar Siddaraju, Nagaraja Chikkalure Sringeshwaraiah, Sudha Guelal
Materials- Harini Hombalegowda
Data
collection- Harini Hombalegowda
Data
analysis and Interpretation- Harini Hombalegowda, Naveen
Kumar Siddaraju, Nagaraja Chikkalure Sringeshwaraiah, Sudha Guelal
Literature
search- Harini Hombalegowda
Writing
article- Harini Hombalegowda
Critical
review-Nagaraj Ramakrishnappa, Nagaraja Chikkalure Sringeshwaraiah, Naveen
Kumar Siddaraju, Sudha Guelal
Article
editing- Harini Hombalegowda, Nagaraj Ramakrishnappa, Naveen Kumar Siddaraju
Final approval-Nagaraj Ramakrishnappa, Naveen
Kumar Siddaraju, Nagaraja Chikkalure, Sringeshwaraiah, Sudha Guelal
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