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Phytobiotics and Organic Acids As Potential Alternatives to the Use of Antibiotics in Nursery Pig Diets

  • Kommera, S.K.;Mateo, R.D.;Neher, F.J.;Kim, S.W.
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.12
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    • pp.1784-1789
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    • 2006
  • Two experiments were conducted to determine the effect of phytobiotics and organic acids on growth performance of nursery pigs as an alternative to antibiotics. Phytobiotics refer bioactive compounds from plant materials including essential oils and herbal extracts. In Exp. 1,144 pigs, weaned at 23.4${\pm}$0.3 d age, were allotted to three dietary treatments. Treatment diets were: 1) NC (no antibiotics and no phytobiotics); 2) PC (NC+carbadox, 50 mg/kg); and 3) PB (NC+phytobiotics; 0.1% PEP1000-$1^{(R)}$. Each treatment had six replicates with eight pigs per pen. Pigs were fed the experimental diets for 5 wks in 3 phases (phase 1 for 2 wk; phase 2 for 2 wk; phase 3 for 1 wk). In Exp. 2, 192 pigs, weaned at 19.2${\pm}$0.3 d age, were allotted to three dietary treatments: 1) NC; 2) PC; and 3) PBO (NC+phytobiotics; 0.2% or 0.1% PEP1000-$1^{(R)}$ and organic acids; 0.4% or 0.2% $Biotronic^{(R)}$for the phase 1 and 2, respectively) with eight replicates per treatment and eight pigs per pen. Pigs were fed the assigned diets for 5 wks in 2 phases (phase 1 for 2 wk; phase 2 for 3 wk). Body weights were measured at the beginning of the experiment and at the end of each week in both Exp. 1 and 2. Feed intake was measured at the end of each week in both Exp. 1 and 2. Diarrhea score was measured daily during the entire period for Exp. 1 and during the phase 1 for Exp. 2. In Exp. 1, the PC had a higher (p<0.05) overall ADG than the NC, but the overall ADG of the PB did not differ (p>0.05) from the NC or the PC. In Exp. 2, the overall ADG did not differ (p>0.05) among all the treatments during the entire experimental period. The overall ADFI and the overall gain:feed ratio did not differ (p>0.05) among all the treatments during the entire experimental period in both Exp. 1 and 2. The PC had a higher (p<0.05) overall diarrhea score (harder stools) than the NC and the PB in Exp. 1, and a higher (p<0.05) overall diarrhea score than the NC in Exp. 2. The overall diarrhea score of the PB and the PBO did not differ (p>0.05) from the NC or the PC in Exp. 1 and 2. Results from this study show that the growth of pigs fed the diets with phytobiotics or the combination of phytobiotics and organic acids did not differ from those both with antibiotics and without antibiotics when tested in an environmentally controlled research facility. Further experiments are required to study the growth performance in disease challenged conditions.

A Study on the Determinants of Rescreening for Using the Private Health Screening Program (민간검진이용자의 재검진 결정요인에 관한 연구)

  • Park, Il-Su;Kim, Yoo-Mi;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.383-396
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    • 2015
  • This study aims to identify factors related to rescreening the private health screening center. Data from private health screening center with seven district centers were analyzed. The number of subjects was 70,250 from 2008 through 2015. Socio-demographic characteristics, morbidity, history, physical measurement, laboratory test, and health behavior factors were analyzed the association with health rescreening using chi-square test and negative binominal regression. 19.2% of subjects were recheck their health status on each year from 2008 to 2012. The socio-demographic characteristics related to reuse private health screening center were male, 30-40 aged, Daegu, Gwangju, Jeonnam and Gyeongnam region residents. And overweight and pre-hypertension were also factors association with number of using the private health screening program. People who control their health risk factors such as alcohol intake, smoking and mental health and execute physical exercise tend to use health screening program regularly. Our finding suggest that customer relationship management can execute and private health screening center enable their strategic plan based on data-evidence.