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Background of the Study: A quantitative assessment of different enzymes that produce the best of hydrolyses of starch, skim milk, carboxymathlcellulose (CMC) and groundnut oil which were further assessed for the production of extracellular enzyme.  Aim: The study aimed at assessing some of the fungal isolates for their abilities to produce the following hydrolytic enzymes; amylase, protease, cellulase and lipase using different medium. Material and Methods:  About 19 fungal species associated with crude oil impacted soil ecosystem. Soil parameters taken were pH, organic matter, water holding capacity and moisture content. Analysis of variance were used to test the effects at statistical significance of P ≤ 0. 05 among the treatments and tukey post hoc tests were used to rank the means. Results: A. fumigatus, A. niger, A.terreus and Basipetospora has the highest frequency of occurrence. A. fumigatus 2 has the highest amylase activity (80mm) while A. clavatus recorded the least (10mm) amylotic activity. A. fumigatus 2 recorded the highest hydrolytic zone of 66.67 mm, followed by A. fumigatus 3 (65 mm) and Curvularialunata which recorded 60mm, respectively. It was revealed that pH of polluted soil sample from the three plots were more acidic than the control (non-polluted soil) 4.81 and 5.72 for plot 1, 5.58 and 6.08 for plot 2 and 5.15 and 6.57 for plot 3 respectively. The water holding capacity, organic matter and moisture content in the polluted soil ranged from 15.02-17.27%, 7.34-8.99 mgkg-1 and 1.23-4.60%, respectively. Conclusion: It was concluded that aspergillus species exhibited maximum hydrolytic potentials of the fungal isolates using different media formulations and these results could provide basic data for further investigations on molecular characterization of fungal extracellular enzymes.

The effects of temperature, pH and incubation time on amylase, protease and cellulase activity by different species of Aspergillus in crude oil polluted soil sites in Nigeria were studied. Incubation period, Optimal pH values and temperatures for the enzymes produced by the different micro‐organisms were determined. The production of amylase by A. fumigatus and A. niger isolated from crude oil polluted sites showed that both fungi had their peaks on the first day of incubation for amylase, protease and cellulase. A. niger showed higher stability across a range of pH (3-6) and temperature (25-70oC) changes in all the enzyme activities. Further experiments are recommended to purify the secreted enzymes and stability studies will be performed to enhance the application of enzyme to commercial level.

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The study aims to evaluate the effect of antioxidant vitamins C and E on spermeogram and malondialdehyde concentration in chilled semen of Nigerian indigenous turkey toms (Meleagris gallopavo). The results from this study showed that supplementation of the diluents of turkey semen with antioxidants resulted in improvement in spermatozoa motility, pH, volume and   reduced rate of lipid peroxidation compared to the control (T0).  Vitamin E recorded a better result in relation to motility, viability and   lipid peroxidation rate better than a combination of vitamin C and E. Improvement in semen concentration of turkey tom were recorded in the semen of turkey extended with vitamin C. These results demonstrate that lipid peroxidation is a significant factor affecting the fertility of stored turkey sperm and those methods to prevent or reduce lipid peroxidation remain to be elucidated.

Evaluation of growth data is an important strategy to manage gross feed requirement in female Jersey cattle in the New Derived Guinea Savannah Zone of Nigeria. Two non-linear functions (Gompertz and Logistic) and Neural network models were used to fit liveweight (LW)-age data using the non linear procedure of JMP statistical software. Data used for this study were collected from 150 Jersey female cattle in Shonga Dairy Farm, Kwara, State from 2010-2018. The Neural network function showedthe best goodness of fit. Both the Gompertz and Logistic functions overestimated LW at birth, 3, 36, 48, 60 and 72months respectively. NN function overestimated the LW at 0, 3, 24, 36 and 72 months. The Gompertzfunction had the best estimation of asymptotic weight (649.51 kg) with average absolute growth rate (0.061 kg/day).The inflection point was 15.95, 9.55 and 34.5 months in Logistic, Gompertz and neural network models, respectively. A strong and positive correlation was observed between asymptote and inflection point in Gompertz functions. The metrics of goodness of fit criteria (R2 and RMSE), showed that NN with multilayer perceptron was superior to the other models but Gompertz model, was best in its ability to approximate complex functions of growth curve parametersin female Jersey cattle.