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Browsing Thesis & Dissertation by Author "SALAKO, Abiola Olayemi"
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Item THE EFFECT OF MOISTURE, FEED ADDITIVES AND BIOLOGICAL AGENTS ON PERFORMANCE, NUTRIENT RETENTION, BLOOD PARAMETERS AND AFLATOXIN IN BROILERS.(2018) SALAKO, Abiola OlayemiAflatoxin, 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.