Seroprevalence Against Bovine Leukaemia Virus in Dairy Cattle in Bolivia
This study determined seroprevalence against bovine leukaemia virus and investigated the risk factors with the seropositivity of the virus in dairy cattle in Bolivia. Ninety-eight farms in five different provinces in Santa Cruz Department were visited to study 1823 dairy cattle. Questionnaire interviews, blood sampling and inspection of skin were performed at each study farm. Individual-cattle sera were analysed using the agarose gel immunodiffusion (AGID) diagnostic method for the detection of antibody against bovine leukaemia virus. The overall percentage of test positive against bovine leukaemia virus was 29% (95% confidence interval: 27-31%). One percent of the study dairy cattle had the subcutaneous lesions. There were statistical differences for percentage of test positive against bovine leukaemia virus in dairy cattle between provinces (p<0.001). The seropositivity in relation to the existence of subcutaneous lesions indicated statistical significance (p = 0.023). Knowledge of the provincial difference of seropositivity against bovine leukaemia virus in dairy cattle would be used to determine the resource allocation for preventive measures in the study area. In the preventive measures, serological tests against bovine leukaemia virus for the cattle with subcutaneous lesions, which would be a potential indicator of the infection of bovine leukaemia, should be prioritised.
Received: March 03, 2010;
Accepted: May 09, 2010;
Published: August 05, 2010
Enzootic bovine leukaemia is a viral disease of adult cattle, caused by Bovine
Leukaemia Virus (BLV) and distinguished by neoplasia of lymphocytes and lymph
nodes (Kettmann et al., 1994; Kahrs,
2001). Infection occurs by iatrogenic transfer of infected lymphocytes and
is followed by a chronic antibody response and, less often, development of persistent
lymphocytosis or lymphosarcoma (Radostits, 2005). This
form is seldom seen in cattle less than two years of age and increases in incidence
with increasing age (VanLeeuwen et al., 2001).
The infection does not spread quickly, but the number of seropositive animals
may be 80% in infected herds (Gutierrez et al., 2009).
Dairy cattle are more frequently infected than beef cattle and have a higher
incidence of lymphosarcoma (Radostits, 2005). The annual
mortality risk may be as high as 5% in severely affected dairy herds (Acaite
et al., 2007). All breeds of cattle are susceptible to bovine leukaemia
virus infection (VanLeeuwen et al., 2001). The
prevalence of infection in a cattle population may be high (Jacobs
et al., 1991; Sargeant et al., 2001;
Trono et al., 2001; Ott et
al., 2003; Monti et al., 2005), but only
a few animals develop fatal lymphosarcoma (Radostits, 2005).
In Bolivia, field investigations to determine seroprevalence against bovine
leukaemia virus were previously implemented which were simply descriptive studies
(Ruiz et al., 2009). No quantitative epidemiological
investigations to identify potential risk factors for the infection have been
published to the best of the authors knowledge. The objective of this
study was to (1) determine seroprevalence against bovine leukaemia virus and
(2) investigate the risk factors with the seropositivity of the virus in dairy
cattle in Bolivia.
MATERIALS AND METHODS
This study was conducted between April and September 2009. Santa Cruz Department
(study area) has about 72, 000 dairy cattle, equivalent to 69% of the total
dairy cattle population in Bolivia (Federación Departamental de Productores
de Leche, 2009, personal communication). One, two, one, two and three dairy
cooperatives were selected from Andrés Ibáñez, Warnes,
Obispo Santiesteban, Sara and Ichilo Provinces in Santa Cruz Department, respectively.
Ten different dairy farms from each of the dairy cooperatives were recruited.
In total, 90 farms of dairy cattle were initially planned for visit. Cattle
greater than or equal to two years of age were targeted because bovine leukaemia
with a predilection for those cattle (Gonzalez et al.,
2007; Panei et al., 2009). The required sample
size of 1505 in total from a dairy cattle population of 72, 000 was sufficient
to obtain a 95% confidence interval with a desired precision of ±2.5%
when the estimated seroprevalence was 50% (Hintze, 2008).
The sample size of 20 in each of the farms was assigned by available financial,
human and material means. The field study consisted of data collection through
questionnaire interviews for each study farm, in combination with blood sample
collections and inspection of skin to find a subcutaneous lesions (>1 cm
diameter) for each dairy cattle. A questionnaire was designed to obtain basic
information of a farm such as the number of dairy cattle reared, age, breed
and number of calving of cattle. Blood samples were used for diagnostic tests.
Individual-cattle sera were analysed using a kit of agarose gel immunodiffusion
for the detection of antibody against bovine leukaemia virus, provided by Cátedra
de Virología, FCV-UNLP. Data were entered into a database using the Base
in the OpenOffice.org software version 3.1.1 (Sun Microsystems, Santa Clara,
CA, USA). The statistical analyses were performed using Stata SE 10.1 (Stata
Corporation, College Station, TX, USA). Univariate and multivariate analyses
were used to describe the differences between the two dairy cattle groups categorised
according to seropositivity against bovine leukaemia virus. Univariate analysis
were conducted using Pearsons Chi-squared statistic for categorical predictors
such as Province, Breed (Holstein-Friesian vs. others) and Subcutaneous lesions
and likelihood-ratio statistic for continuous predictors such as Age and Calving.
Following the univariate analyses, a multivariate logistic regression analysis
(Eyduran et al., 2005) was conducted to better
understand the relationships between the outcome Seropositivity and the predictors
mentioned above. In the analysis, the most important predictors differentiating
between the two dairy cattle groups were identified, based on inclusion of all
variables, which were significant at p<0.10 in the univariate analysis. A
disadvantage of the univariate analysis was that a set of variables, of which
each is weakly associated with the outcome, can become important predictors
when they are taken together. To prevent this, a significance level that was
relatively safe (p<0.10) was selected (Noordhuizen et
al., 2001). The term Subcutaneous lesions was forced into the model
because it was known as a clinical sign of bovine leukaemia (Radostits, 2005).
A stepwise backward variable selection approach was used based on the likelihood-ratio
statistic and entry and removal probabilities of p<0.05 and 0.10, respectively.
The model goodness-of-fit was assessed using the Hosmer-Lemeshow goodness-of-fit
test. The test P value closer to 1 indicates better fit. All variables included
in the final regression model were screened for possible interactions and in
case of continuous variables for non-linearity of effects (Katz,
The 98 study farms (equivalent to 14% of the farms registered in dairy cooperatives
of the study provinces) had 12, 404 dairy cattle in total at the visit (equivalent
to 17% of the total dairy cattle population in Santa Cruz Department). The number
of dairy cattle reared was variable between the study farms (range: 9-630, median:
90). Blood samples collected from 1823 dairy cattle, on the basis of different
sample sizes per farm (range: 7-20, median: 20), were serologically investigated.
The study dairy cattle had the median age of six years (range: 2-17 years) and
the median number of calving of three (range: 0-12). With respect to breed,
about 30% of them were Holstein-Friesian (called as Holando), followed by crossbred,
Brown Swiss, Criollo and etc. One percent of them had the subcutaneous lesions.
Table 1 shows descriptive statistics for percentage of test
positive against bovine leukaemia virus in the study dairy cattle between provinces,
the statistical precision was improved from ±2.5 to ±2.1% because
of the eventual total number of samples of 1823 (larger than planned) and the
overall percentage of test positive of 29% (smaller than expected). There were
statistical differences for percentage of test positive against bovine leukaemia
virus in dairy cattle between provinces (p<0.001). The seropositivity in
relation to the existence of subcutaneous lesions indicated statistical significance
(p = 0.023). While, the seropositivity in relation to age, breed or number of
calving did not indicate statistical significance. On the basis of the results,
predictors Province and Subcutaneous lesions were included in the final multiple
logistic regression model (Table 2). The model represented
a very good fit to the data.
|| Percentage of test positive against bovine leukaemia virus
in dairy cattle in Santa Cruz Department, Bolivia
|Chi-squared statistic 122.0, 4 df, p<0.001
||Final multiple logistic regression model describing the probability
of a dairy cattle having seropositivity against bovine leukaemia virus in
relation to provinces where the cattle was reared and the existence of subcutaneous
lesions as specific clinical signs (n = 1823)
|Hosmer-Lemeshow goodness-of-fit statistic 0.35, 3 df, p =
There were no interactions among predictors. The final model indicated that
Obispo Santiesteban, Warnes and Andrés Ibáñez Provinces
(in descending order) were more likely to have seropositive-cattle against bovine
leukaemia virus, compared with Ichilo Province. Also cattle having subcutaneous
lesions were twice as likely to be seropositive in comparison with those without
The results presented here constitute the first departmental-wide survey carried
out to detect antibodies to bovine leukaemia virus in dairy cattle in Bolivia.
In summary, during the period April-September 2009, the observed individual
prevalence of the antibodies in this study (29%) was similar to that reported
by other authors in countries where bovine leukaemia virus infection is endemic
(Jacobs et al., 1991; Sargeant
et al., 2001; Trono et al., 2001;
Ott et al., 2003; Monti et
al., 2005). Trono et al. (2001) and Monti
et al. (2005) reported the seroprevalence of bovine leukaemia virus
in cattle in Argentina were 33 and 70%, respectively. In Canada, Jacobs
et al. (1991) and Sargeant et al. (2001)
published the seroprevalence of bovine leukaemia virus in cattle of 36 and 52%,
respectively. Ott et al. (2003) reported the
seroprevalence of bovine leukaemia virus in cattle in the United States was
41%. Knowledge of the provincial difference of seropositivity against bovine
leukaemia virus in dairy cattle would be used to determine the resource allocation
for preventive measures against bovine leukaemia in Santa Cruz Department. The
existence of subcutaneous lesions would also be used as a potential indicator
to detect positive-cattle with bovine leukaemia (Radostits,
2005). Serological tests against bovine leukaemia virus for those cattle
with subcutaneous lesions should be prioritised. This leads to better resource
allocation by policy makers for scientific evidence-based preventive measures
(Cockcroft and Holmes, 2003).
This study was carried out as part of the project for the capacity development for improvement of livestock hygiene in the southern part of South America through regional cooperation [commonly known as: Proyecto de desarrollo profesional continuo para los veterinarios del Sur (PROVETSUR)], funded by the Japan International Cooperation Agency.
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