THE EFFECT OF MOISTURE, FEED ADDITIVES AND BIOLOGICAL AGENTS ON PERFORMANCE, NUTRIENT RETENTION, BLOOD PARAMETERS AND AFLATOXIN IN BROILERS.
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Date
2018
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Abstract
Aflatoxin, a secondary metabolic product of Aspergillus spp is economically important in
animal health due to its biological effects, manifested in reduced performance. Eradicating
aflatoxin induced disease in poultry is an essential strategy for improving productivity. The
objectives of this study were to determine: (i) effects of moisture and temperature on the growth
of Aspergillus paraciticus and aflatoxin concentration; (ii) in vitro binding ability of xylanase
and herbal extracts to attenuate the growth of Aspergillus paraciticus and (iii) effects of the
screened additives and atoxigenic Aspergillus paraciticus on performance and blood parameters
of broilers fed aflatoxin containing diet and high, medium and low moisture maize (HMM,
MMM and LMM).
Five experiments were conducted. Experiment 1 investigated the in vitro effects of
temperature (15oC, 20oC, 25oC, 30oC, 35oC and 40oC) and moisture (4%, 8%, 12%, 16% and
20%) on Aspergillus paraciticus count and aflatoxin concentration in feed inoculated with
Aspergillus paraciticus in a 6×5 factorial design. Experiment 2 examined the effects of xylanase,
herbal extracts of ginger, turmeric and garlic and their concentrations (0, 10, 20, 30, 40 and 50
mg/ml) on inhibition of Aspergillus paraciticus in a 4x6 factorial design. Experiment 3 evaluated
the effects of dietary aflatoxin concentration (0 and 500 ppb) and herbal extracts on performance,
digestibility and blood parameters of broilers in a 2x4 factorial design. Experiment 4 studied the
response of broilers to dietary aflatoxin concentration (0 and 500 ppb) with or without atoxigenic
Aspergillus flavus in a 2x2 factorial design. Experiment 5 studied the response of broilers to
types of maize (HMM, MMM, LMM) and types of binder (0, turmeric, atoxigenic Aspergillus
flavus) in a 3x3 factorial design. Data obtained were subjected to analysis of variance (p<0.05)
and means were separated using Duncan multiple range test.