Background: Groundnut pre-and post-harvest contamination is commonly caused by fungi from the Genus Aspergillus. Aspergillus flavus is the most important of these fungi. It belongs to section Flavi; a group consisting of aflatoxigenic (A. flavus, A. parasiticus and A. nomius) and non-aflatoxigenic (A. oryzae, A. sojae and A. tamarii) fungi. Aflatoxins are food-borne toxic secondary metabolites of Aspergillus species associated with severe hepatic carcinoma and children stuntedness. Despite the well-known public health significance of aflatoxicosis, there is a paucity of information about the prevalence, genetic diversity and population structure of A. flavus in different groundnut growing agroecological zones of Uganda. This cross-sectional study was therefore conducted to fill this knowledge gap. Results: The overall pre-and post-harvest groundnut contamination rates with A. flavus were 30.0 and 39.2% respectively. Pre-and post-harvest groundnut contamination rates with A. flavus across AEZs were; 2.5 and 50.0%; (West Nile), 55.0 and 35.0% (Lake Kyoga Basin) and 32.5 and 32.5% (Lake Victoria Basin) respectively. There was no significant difference (χ 2 = 2, p = 0.157) in overall pre-and post-harvest groundnut contamination rates with A. flavus and similarly no significant difference (χ 2 = 6, p = 0.199) was observed in the pre-and post-harvest contamination of groundnut with A. flavus across the three AEZs. The LKB had the highest incidence of aflatoxin-producing Aspergillus isolates while WN had no single Aspergillus isolate with aflatoxin-producing potential. Aspergillus isolates from the pre-harvest groundnut samples had insignificantly higher incidence of aflatoxin production (χ 2 = 2.667, p = 0.264) than those from the post-harvest groundnut samples. Overall, A. flavus isolates exhibited moderate level (92%, p = 0.02) of genetic diversity across the three AEZs and low level (8%, p = 0.05) of genetic diversity within the individual AEZs. There was a weak positive correlation (r = 0.1241, p = 0.045) between genetic distance and geographic distance among A. flavus populations in the LKB, suggesting that genetic differentiation in the LKB population might be associated to geographic distance. A very weak positive correlation existed between genetic variation and geographic location in the entire study area (r = 0.01, p = 0.471), LVB farming system (r = 0.0141, p = 0.412) and WN farming system (r = 0.02, p = 0.478). Hierarchical clustering using the unweighted pair group method with arithmetic means (UPGMA) revealed two main clusters of genetically similar A. flavus isolates.
Evidence from different studies has revealed a great contribution of agro-ecology in solving the world hunger sustainably. Agro-ecology addresses the problems and limitations of industrial agriculture such as inequalities, increased poverty and malnutrition rate, and environment degradation especially climate change; which are the roots causes of hunger in the world and hinder its eradication. In meeting these goals, agro-ecology raises the availability of food by augmenting yields considerably and increasing urban agriculture; it rises the accessibility of food by decreasing poverty; and upsurges the appropriateness of food by offering a food which is of high-quality nutritional, healthy and socially accepted or adopted. This farming system also contributes to water security and to the respect of the right to water and hygiene by lessening the pressure on water resources, growing the flexibility to water shortage and diminishing the frequency of battles among conflicting water uses; and therefore, enhances food security and the apprehension of the right to adequate food. Agro-ecology contributes in conserving biodiversity and natural resources, in increasing resilience to climate change and combating the extenuation challenge, in growing control of peasants upon agricultural and food systems, and in empowering Women as well.
The role of forests across the world has been recognized as key natural assets that offer several goods and services, especially to communities adjacent to them. Given this role, there have been minimal efforts to determine the factors characterizing this dependence of communities on non-timber forest products (NTFPs), especially in developing nations. This study surveyed and assessed different factors influencing household dependence on NTFPs in the Marrupa-Mecula Corridor, Niassa Special Reserve, Niassa Province of Mozambique. In total, 377 household members from eight villages attended the interview while employing proportional random sampling. Data analysis was done using descriptive statistics and binary logistic regression. The study revealed that 90.9% of the households participate in collecting, producing, and selling NTFPs. Three factors, namely, social, economic, and physical, with twenty sub-factors or characteristics were found to have a significant association with dependence on forest resources. They include the availability of NTFPs, taking a collection of NTFPs as a family job, strong cultural attachment to forests, seasonal engagement in collection, nearby forests being home for community leaders, distance to the nearby forest, the housing needs of forests, forests being a major source of medicine, forests being a resource for educational institutions, forests being a major source of household food security, forests being a ready income for households, forests being a tourist attraction in the area, and affordability of distance to markets. The binary logistic regression revealed that gender, age, education, family size, and time spent in the area are significantly associated with dependence on NTFPs. Additionally, strong cultural attachment to forests, seasonal engagement in collection, nearby forests being homes for community leaders, distance to the nearby forest, housing needs, a major source of medicine, education, household food security, ready income, tourist attraction, and affordability of distance to markets were found to have a significant influence. On the contrary, scary dangerous wild animals, restriction of cultivation in non-gazetted forests, restriction of hunting in non-gazetted forests, and forest fires negatively affected the dependence on NTFPs/resources. As a way of achieving sustainable utilization of NTFPs, management plans and strategies need to incorporate these factors characterizing the dependence on NTFPs.
Evaluation of the changes in land use and land cover change (LULCC) in respect to oil exploration across the Albertine region in Uganda has been focused around the exploration areas and protected areas, with no attention to the potential impacts of evictees' activities on resettled areas. This study used LANDSAT images to analyze the land use and land cover changes (LULCC) among the period before eviction (2002 and 2005) at the climax of eviction and resettlements (2005)(2006)(2007)(2008)(2009)(2010)(2011), and during the post-resettlement period (2011)(2012)(2013)(2014)(2015) to quantify the impacts of resettlements on the environment. LANDSAT images were processed using ERDAS IMAGINE software and analyzed using ArcGIS 10.1 to determine LULCC in relation to post-eviction resettlement in the study area. Results from the study indicate. The results of the study indicate that vegetation reduced by 33.08 percent, woodland were converted into settlements by 48 percent while farmlands increased by 18.3 percent. Non vegetated areas increased during resettlements however they reduced five years after eviction which indicated the ability of the ecosystem to stabilize. The study proved that post eviction induced resettlements can yield potential environmental effects to resettled areas. It is important therefore to plan and implement other means of additional source of income and construction materials for evictees to abate vegetation clearance and hence rescue the woodland. The study also recommends maintenance of an optimum population and well-planned pre eviction resettlement schemes.
The unexpected outbreak of novel COVID-19 in late 2019 and continual spread across the world has disrupted the agricultural value chain. The World Health Organization (WHO) prescribed border closure, lockdown, social distancing, wearing a mask, and handwashing to combat the pandemic. These control measures, especially the closure of borders, have affected the importation and supply of fertilizer for crop production. The current study presents potential expectations for the adverse effects of coronavirus pandemic on fertilizer supply and application, soil fertility, and crop yield. The study indicates that the effect of the COVID-19 pandemic has made the delivery of fertilizers to farmers very difficult. Hence, the application of fertilizer on time by farmers was problematic. It was also discovered that the COVID-19 control measure enforced can delay crop planting on time and the use of optimum quality and quantity of fertilizer. Therefore, crop yield will be affected and the quantity of crop produced will be reduced.
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