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Probiotic level effects on growth performance, carcass traits, blood parameters, cecal microbiota, and immune response of broilers

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2016
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Title
Probiotic level effects on growth performance, carcass traits, blood parameters, cecal microbiota, and immune response of broilers
Published in
Anais da Academia Brasileira de Ciências, May 2016
DOI 10.1590/0001-3765201620150071
Pubmed ID
Authors

Mohammadreza Pourakbari, Alireza Seidavi, Leila Asadpour, Andrés Martínez

Abstract

Probiotic effects on growth performance, carcass traits, blood parameters, cecal microbiota, and immune response of broilers were studied. Two hundred one-day-old male chickens were allocated to one of five treatments (four replicates of 10 birds per treatment): control, and the same control diet supplemented with 0.005%, 0.01%, 0.015% and 0.02% probiotics. Probiotics in feed at 0.01% or higher levels of supplementation improved body weight gain (+12%) and feed conversion rate (-5%) compared with the control. There were no effects on carcass traits, but the relative weights of drumsticks and wings showed increasing and decreasing linear responses, respectively, to probiotic supplementation level. Blood plasma glucose and albumin contents linearly increased (from 167.1 to 200.5 mg dl-1, and from 1.70 to 3.25 g dl-1) with increasing probiotic supplementation. Triglycerides and cholesterol contents were lower in probiotic supplemented treatments (average contents 71.3 and 125.3 mg dl-1 vs. 92.6 and 149.9 mg dl-1 in the control). Probiotics decreased cecal Escherichia coli counts, but had no effects on immunity related organs or immune response. The linear trends, either positive or negative, observed in many of the parameters studied, suggest that more studies are needed to establish the optimal concentration of probiotics in broiler feed.

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Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 16%
Researcher 13 13%
Student > Bachelor 10 10%
Student > Ph. D. Student 8 8%
Student > Postgraduate 5 5%
Other 14 14%
Unknown 31 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 31%
Veterinary Science and Veterinary Medicine 12 12%
Biochemistry, Genetics and Molecular Biology 6 6%
Immunology and Microbiology 6 6%
Chemistry 2 2%
Other 7 7%
Unknown 34 35%