Browsing by Author "Cherotich, Sam"

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    Grain Hermetic Storage Adoption in Northern Uganda: Awareness, Use, and the Constraints to Technology Adoption
    (Agricultural Sciences, 2022) Okori, Francis; Cherotich, Sam; Abaca, Alex; Baidhe, Emmanuel; Adibaku, Francis
    Post-harvest storage losses (PHLs) remain significant in Sub-Saharan Africa (SSA) due to several factors mainly insect pests and molds. Hermetic storage technologies (HSTs) are being promoted to address these storage losses. In Uganda, HSTs were first introduced in 2012. However, its use among farming households remains low today. Data were collected from 306 smallholder farmers from four districts of Northern Uganda using a pre-tested semistructured questionnaire to understand their knowledge, use, and constraints to the adoption of hermetic storage. A multivariate Logit regression model was used to find the significance of the factors affecting adoption. Results showed low awareness and use of hermetic storage among smallholder farmers. Only 53.3% of the interviewed farmers were aware of the use of hermetic storage for grain storage. The SuperGrain bag was the most known form of hermetic storage (35.3%), followed by the Purdue Improved Crop Storage (PICS) bag (34.9%), metallic silo (15.5%), and plastic silo (14.4%). Hermetic storage use was even lower as only 17.6% of the surveyed farmers were using one or more forms of hermetic storage to store their grains. Insect pest management without chemical insecticides was the main reason (83.1%) for hermetic storage use. About 75.5% of those aware of hermetic storage had received training in the technology. Hermetic storage use in farming households led to improved food availability, household income, and nutrition.
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    Greenhouse gas emissions from Uganda's cattle corridor farming systems
    (Agricultural systems, 2019) Kiggundu, Nicholas; Ddungu, Stanley Peter; Wanyama, Joshua; Cherotich, Sam; Mpairwe, Denis; Zziwa, Emmanuel; Mutebi, Faizal; Falcucci, Alessandra
    The objective of this study was to estimate the greenhouse gas (GHG) emissions from practised cattle farming systems (Stall, Semi-Intensive, Grazing, Tethering and Scavenging) and identify potential areas for GHG mitigation. Using the Global Livestock Environmental Assessment Model (GLEAM-i), GHG emissions in 2016 were 2009 Gg CO2-eq/yr of which the Grazing system contributed 88.5%. Enteric fermentation produced about 75.8% of the total GHG emissions. At an annual growth rate of 3%, the projected GHG for 2020 and 2025 would increase by 12.6% and 30.7% respectively. The milk and meat emission intensities were far higher than the global averages. A reduction in grazing by 10% and a 10% increase in use of anaerobic digesters to handle manure resulted in a 4.4% reduction in annual GHG emission.
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    Impact of Daily and Seasonal Variation of Raw Water Quality on Treatability: a Case of Gaba Complex
    (Global Journal of Engineering Science and Research Management, 2016) Kiggundu, Nicholas; Cherotich, Sam; Banadda, Noble; Kabenge, Isa; Ogaram, David
    Conventional water treatment is constrained by factors such as variation in raw water quality, inefficient coagulation, use of inappropriate sand for filtration, and poor backwashing process among others. The objective of this study was to find out the impact of daily and seasonal variation of raw water quality on conventional water treatment through the jar testing process. Short filter run times as low as 12 h were experienced at Gaba complex requiring emergency backwashing. The short filter run times were envisaged to be resulting from the inability of the coagulation process to cope with the varying water quality. Generally, the pH of the water samples showed no significant (p>0.05) difference in both the dry and wet period. The water turbidity and colour were significantly (p<0.05) higher in the dry period compared to the wet period. The optimum alum dose (60 to 70 mg L-1) for each jar test showed up to 92% turbidity removal and complete colour removal. Variation in the raw water quality both daily and seasonally did not significantly (p>0.05) affect the amount of coagulant required for optimal water treatment. The short filter run times therefore, could be due to other factors to be investigated.