Soybean production is limited by poor soil fertility and unstable rainfall due to climate variability in the Nigeria savannas. There is a decline in the amount and duration of rainfall as one moves from the south to north of the savanna zones. The use of adapted soybean varieties and optimum sowing windows are avenues to increase productivity in the face of climate variability. Crop simulation models can be used as tools for the evaluation of alternative management options for a particular location, including fertilizer application rates, plant density, sowing dates and land use. In this study, we evaluated the performance of the Cropping System Model (CSM)-CROPGRO-Soybean to determine optimum sowing windows for three contrasting soybean varieties (TGX1835-10E, TGX1904-6F and TGX1951-3F) cultivated in the Nigeria savannas. The model was calibrated using data from ten field experiments conducted under optimal conditions at two sites (BUK and Dambatta) in Kano in the Sudan savanna (SS) agro-ecology over four growing seasons. Data for model evaluation were obtained from independent experiment for phosphorus (P) response trials conducted under rainfed conditions in two locations (Zaria and Doguwa) in the northern Guinea savanna (NGS) zone. The model calibration and evaluation results indicated good agreement between the simulated and observed values for the measured parameters. This suggests that the CROPGRO-Soybean model was able to accurately predict the performance of soybean in the Nigeria savannas. Results from long-term seasonal analysis showed significant differences among the agro-ecologies, sowing windows and the soybean varieties for grain yield. Higher yields are simulated among the soybean varieties in Zaria in the NGS than in Kano the SS and Jagiri in the southern Guinea savanna (SGS) agro-ecological zones. Sowing from June 1 to July 5 produced optimal yield of TGX1951-3F and TGX1835-10E beyond which yield declined in Kano. In Zaria and Jagiri the simulated results show that, sowing from June 1 to July 12 are appropriate for all the varieties. The variety TGX1951-3F performed better than TGX1904-6F and TGX1835-10E in all the agro-ecologies. The TGX1951-3F is, therefore, recommended for optimum grain yield in the savannas of northern Nigeria. However, the late maturing variety TGX1904-6F is not recommended for the SS due to the short growing season in this zone.
Soil variation and its effect on the physical and chemical properties of shea butter, a product from the nut of the shea tree, were investigated in four districts of the northern region of Ghana. Thirty-six samples of freshly extracted shea butter together with 36 soil samples were collected and stored at 25°C for analysis. Clinical analysis of soil properties and the clinical analysis of the physical and chemical properties of shea butter were investigated using standard methods. The results showed that the soil organic matter (1.78%), soil organic carbon (1.03%), soil nitrogen (0.10%) and sandy soil have significant positive impact on the fat content (48.69%) of the shea kernel, and the soil cation exchange capacity (6.61%) has a negative effect. Soil properties do not have an impact on the chemical properties of the shea butter. This study thus concludes that apart from other factors such as the method adopted for the extraction of shea butter, soil composition contributes significantly to the quantity of shea butter extracted from the shea kernels.
Shea butter is a high-value shea nut fat used as an edible oil, antimicrobial and moisturiser in the food, pharmaceutical and cosmetic industries, respectively. The annual worldwide export of shea nut from Africa is 350,000 MT of kernels with a market value of approximately $120 million to producing countries. The multifunctional properties of the shea butter depend strictly on its compositional properties: the peroxide value, moisture content, free fatty acid level and the insoluble impurities. Standard extraction technologies: the traditional, mechanized, enzymatic and chemical methods were used for shea butter extraction. Current extraction technologies which rely on different extraction parameters for shea butter extraction are yet to yield the desired qualities and efficiencies of butter. Application of hydrolysing enzymes during enzyme extraction however eliminates the laborious, tedious and labour-intensive extraction processes creating alternative, selective and mild extraction conditions. The current review gives an overview of shea butter extraction technologies, the efficiencies, qualities and a perspective into the shea butter industry.
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