Effect of Deccox® on Growth Performance of Dairy and Beef Cattle When Compared to Non-Medicated Cattle in the Absence of Clinical Coccidiosis
Introduction
Deccox (decoquinate) is typically utilized in conditions
where cattle are at high risk for developing clinical coccidiosis.
Improvements in growth performance are noted
when clinical coccidiosis is prevented or controlled, and
under clinical coccidiosis conditions these improvements
are a direct result of disease prevention and control.
Challenge studies are the true test of an anticoccidial.s
ability to maintain performance when exposed to disease,
and Deccox has been shown to effectively prevent
coccidiosis in those situations.
1
The ability of Deccox to
prevent coccidiosis under conditions of natural exposure
has also been proven.
2
Subclinical bovine respiratory disease can have a negative
impact on performance
3,4 and carcass
quality
4 of beef
cattle. There are few data, however, to quantify the effect
of subclinical coccidiosis on performance. Subclinical
coccidiosis occurs when cattle shed coccidia but clinical signs
of coccidiosis (i.e. bloody diarrhea) are not detected.
5
Deccox lends itself to such an evaluation because
research has demonstrated that decoquinate does not
affect ruminal microflora or nutrient digestibility.
6
Therefore, when control cattle did not exhibit signs of clinical
coccidiosis but cattle receiving Deccox had increased
growth performance, control of subclinical coccidiosis may
assumed to be the mode of action.
The objective of this Technical Bulletin is to evaluate the
impact of Deccox on animal performance when clinical
coccidiosis is not observed in nonmedicated or Deccoxfed cattle.
Procedure
A mixed model analysis was used to combine the data
from several different types of studies in a meta-analysis
approach.
7 Meta-analysis is a process for obtaining results
from many different sources and then combining those
results into a "meta" for an overall comparison. The
process is used to determine the "effect size" from each
study and then combine those effect sizes into a mean by
weighting the inverse of the sample sizes from each study.
The process uses the effect-by-source interaction as the
measure of error, which is used to compute the standard
error of the resulting weighted mean. Using this error term
enables one to make a broad inference across the range
of studies included in the meta-analysis.
The purpose of the analysis was to obtain an idea of the
effect of Deccox on average daily gain (ADG), feed-togain (FG),
and dry matter intake (DMI) when nonmedicated control and
Deccox cattle did not experience clinical
coccidiosis. The mixed model analysis was conducted
with a different variance based on publication type or
equal variance across publication types. Publication types
included internal company bulletins, reports in popular
press, peer-reviewed articles, and university bulletins.
Akiaki.s Information Criteria (AIC) was used to select the
variance model, and the model with the smallest AIC was
chosen for the analysis. Variance models identified using
AIC for each variable were: ADG, unequal variance; FG,
equal variance; and DMI, equal variance (Deccox compared to
controls with no evidence of clinical coccidiosis).
The meta-analysis approach weights each item of data
based on sample sizes. Weight =
n
c × n
d / (n
c+ n
d), where
n
d and n
c are the number of animals in the Deccox and
control groups, respectively. Differences between Deccox
and control observations were evaluated in the analyses.
Mean values are Deccox minus control. Therefore, a positive
value for ADG and DMI represents a Deccox advantage, whereas
a negative value for FG represents a Deccox advantage.
If the number of animals assigned to controls was missing,
weighting could not be computed; therefore, data from
the study could not be included in the analysis. Some of
the studies were quite large, raising concern about the
impact of a single study with a large number of cattle on
results. However, when an analysis was conducted
restricting the maximum allowable weight to 100, results
were not significantly altered. Based on this analysis,
results using actual weightings are presented.
Results
The number of beef and dairy studies included in analysis
of ADG, FG, and DMI, segregated by study length, are
displayed in Table 1. Beef and dairy studies were maintained
as independent groups because of the obvious differences in
initial animal weight and management systems
employed in the studies. Beef and dairy "long" studies
were defined as those greater than 96 days in duration.
Beef and dairy "short" studies were defined as those with
duration of 96 days or less. The 96-day period was selected
because it was the most natural "break" in the groupings of
the trials. Beef studies represented a combination
of feedlot and pasture studies; dairy studies were a combination
of milk replacer and calf starter studies. Deccox
was generally provided during the early portion of the
study with a common treatment employed for the remaining
portion of the study. However, a few studies (particularly
in the short category) compared Deccox to nonmedicated control
for the entire study. Studies were further
defined as experimental or demonstrational based on
details provided in written reports. If a report did not
provide information about randomization of cattle to pens,
and pens to treatment, the study was deemed demonstrational.
However, if details about randomization were
provided in the written report, the study was considered
experimental. Performance information presented in this
Technical Bulletin is the result of pooled analysis of
demonstrational and experimental studies.
Data availability for all categories were greatest with ADG
and least with DMI. The number of studies has an obvious
effect within the analysis on the ability to identify
significant differences and one.s confidence in numerical
observations. Beef studies tend to be more heavily represented
in the data pool and are consequently more likely to
demonstrate significant effects of Deccox on animal
performance.
Deccox improved ADG in beef long (
P < 0.0001),
dairy long (
P = 0.05), and beef short
(
P < 0.0001) studies but
not dairy short studies (Figure 1). Results among study
types with significant improvements in ADG were very
consistent (0.13 lb/hd/d). Deccox has no demonstrated
growth promoting effects in the absence of coccidial
challenges. Therefore, results suggest that coccidial
challenges inadequate to cause clinical disease negatively
impact cattle ADG. Using clinical evidence of coccidiosis
(i.e., bloody diarrhea and oocyst shedding) appears to
substantially underestimate the occurrence and impact of
coccidiosis on cattle performance.
Deccox had no effect (
P > 0.78) on DMI for beef long,
dairy long, beef short, or dairy short categories (Figure 2).
Effects of Deccox on DMI have typically been noted when
clinical coccidiosis occurs in non-medicated control treatments.
Because the comparison within the current data
review was with cattle that did not display signs of clinical
coccidiosis, differences in DMI were not anticipated.
Feed efficiency was improved by feeding Deccox in beef
long (
P = 0.03) and short (
P = 0.0002) studies, but not in
dairy studies (Figure 3). Lack of significance for dairy long
and dairy short studies is largely a reflection of the small
number of studies incorporated into the analysis. Beef
study observations suggest that subclinical coccidiosis
negatively affects feed efficiency. Coccidial challenges
below a clinical threshold may affect performance by
increasing energy and nutrient needs for body weight
maintenance and disease resistance.
Summary
The data analyses summarized in this bulletin indicate
that growth performance benefits (improved ADG and/or
FG) occur when Deccox is fed to dairy and beef cattle,
even when clinical signs of coccidiosis are not detected in
nonmedicated cattle. Growth improvements caused by
Deccox in the absence of clinical coccidiosis are presumed
to result from the control of subclinical coccidian
infection. The negative impacts of subclinical coccidiosis
on growth performance may be extensive and long term.
These findings support previous theories that as much as
95% of the economic loss from coccidiosis may be due to
the subclinical aspect of the disease. Subclinical coccidiosis
may increase nutrient loss or gut turn-over rate due to
intestinal damage caused by coccidia or increased nutrient
needs to fight coccidial infection.
Most cattle are exposed to coccidian oocysts while young
and remain carriers of the parasite. In addition to its value
in understanding the benefits of clinical coccidiosis
prevention, these data analyses suggest that the use of
Deccox may offer economic advantages when the risk of
clinical coccidiosis is low.
Literature Cited
- Miner et al. Decoquinate in the control of experimentally induced
coccidiosis of calves. Am J Vet Res 1976; 37:1043-1045.
- Lusby et al. Effects of feeding Deccox in growing rations for
stocker heifers. 1985 Animal Science Research Day. Oklahoma
State University Agricultural Experiment Station.
- Wittum et al. Relationships among treatment for respiratory tract
disease, pulmonary lesions evident at slaughter, and rate of
weight gain in feedlot cattle. J Am Vet Med Assoc 1996;
209:814-818.
- Gardner et al. Health of finishing steers: Effects on performance,
carcass traits, and meat tenderness. J Anim Sci 1999;
77:3168-3175.
- Diagnosing coccidiosis in cattle. Alpharma Inc. CD 0378.
- Harmon et al. Influence of decoquinate on ruminal fermentation,
diet digestibility and cattle performance. J Anim Sci 1987;
64:1227-1234.
- Wang et al. Integrating results through meta-analytic review
using SAS Software. Cary, NC: SAS Institute Inc. 1999, p 400.
Deccox® is a registered trademark of Alpharma Inc.
Data in Alpharma research file.
Copyright © 2003 Alpharma Inc.
Alpharma Inc.
One Executive Drive
Fort Lee, NJ 07024 USA
1-888-897-8657
Additional technical information is available at www.alpharma.com
Technical Bulletin No. CD 0415