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ENVIRONMENT, WELL-BEING, AND BEHAVIOR |

,2
* Department of Poultry Science, University of Arkansas, Fayetteville 72701;
Poultry Production and Product Safety Research Unit, ARS, USDA, University of Arkansas, Fayetteville 72701; and
Cargill Turkey Production, LLC, Springdale, AR 72764
3 Corresponding author: bhargis{at}uark.edu
| ABSTRACT |
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Key Words: probiotic health production cost turkey
| INTRODUCTION |
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| MATERIALS AND METHODS |
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Data were collected at the processing plant for BW and condemnations by pathological condition. Cost of production (cents/kg of live turkey) was also estimated by formulas used by the production company.
The data collected were subjected to ANOVA for market BW, average daily gain, cost of production, and feed conversion ratio. The statistical randomized design included treatment (probiotic or control) and genetic line as main effects, with the interaction between the 2 and age as covariables (Steel and Torrie, 1960). Condemnation data were analyzed through the Wilcoxon rank test (Moore and McCabe, 1999). All statistical analyses were performed by GLM and NPAR1WAY procedures of SAS v. 9.1 (SAS Institute, 1999) for performance and condemnation data, respectively. Statistical significance was considered when P < 0.05.
Following this analysis, each premise was compared by level of performance as good, fair, or poor (grouping based on historical analysis of 5 previous flocks) using internal integrator criteria. The historical production records included performance information such as weight at market age, feed consumption, and medication costs based on proprietary information within the company. Out of the 118 lots included in this trial, only 109 were included in the subgrouping because of a lack of historical information for some farms. These historical production records were used to classify farms into 3 different performance ranking groups. Arbitrarily, the groups were classified with 25% of the best and worst ranking farms as good and poor, respectively. Lots of turkeys raised on farms ranking between the best 25% and worst 25% were classified as being raised on farms in the fair group.
| RESULTS AND DISCUSSION |
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Flocks treated with the probiotic were heavier [6.91 ± 0.034 vs. 6.72 ± 0.035 kg (± SE)] and had higher BW gain [74.5 ± 0.38 vs. 73.1 ± 0.39 g/d (± SE)] than untreated controls (P < 0.05). The statistical analysis failed to detect an effect of probiotic treatment on the feed conversion ratio (2.192 and 2.176 for the control and probiotic treatment, respectively), whereas the economic analysis indicated a probiotic effect (P < 0.01), with a lower cost per kilogram of live turkey after including the probiotic cost (59.90 and 58.37 cents/kg of live turkey for the control and probiotic treatment, respectively).
The combination of a higher daily weight gain and a small (by 0.016 units) reduction in the feed conversion ratio associated with addition of the probiotic may have contributed to the lower cost of production, even after considering the costs for addition of the probiotic, with an estimated additional income per turkey hen of about US 10 cents.
Attempts to further understand the effects of the probiotic on subpopulations were made by grouping the farms that participated in this trial into 3 categories based on the ranking provided by the integrator. A summary of the findings is present in Table 1
. The fair and poor groups appeared to respond favorably to administration of the probiotic (P < 0.05), whereas the good group did not appear to respond to administration of the probiotic (P > 0.5), as evaluated by increased BW. The favorable response observed in the group with fair productivity was not surprising. This group included the mid 50% of the analyzed lots. Statistical analysis of the whole data set before grouping indicated statistical significance between the probiotic and control groups. The lack of response observed for the good performers may not be surprising because the effect of the probiotics may relate to an overall health status improvement with less opportunity to affect top-performing flocks, in part because of a relatively lower level of environmental challenge. Assuming that birds on the farms designated as good were in good health, they were less likely to respond to administration of the probiotics. By using a similar rationale, those farms historically ranked as poor might be considered less likely to respond to the probiotic treatment, given the potential for their performance rank to be influenced by an array of management and environmental issues. Nevertheless, lots originating from these farms responded favorably to the probiotic used in this experiment.
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The results provided by this trial suggest that administration of the selected probiotic (FM-B11) to turkeys increased the average daily gain and market BW, representing an economic alternative to improve turkey production. The observed effects seemed to be due to better responses in subpopulations of flocks with a fair to poor performance history, whereas those with a history of good performance seemed to respond less favorably to the probiotic supplementation.
| FOOTNOTES |
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2 Current address: Tyson Foods, Inc., 2210 West Oaklawn Drive, Springdale, AR 72762. ![]()
Received for publication May 21, 2006. Accepted for publication October 13, 2006.
| REFERENCES |
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Moore, D. S., and G. P. McCabe. 1999. Introduction to the Practice of Statistics. 3rd ed. W. H. Freeman and Co., New York, NY.
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