5 research outputs found

    The Use of Geoinformtics in Site Selection for Suitable Landfill for Poultry Waste: A Case Study of Amo Farms, AWE AFIJIO, Oyo State

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    This study focused on selection of suitable landfill site for poultry waste in Amo farms Nigeria Limited Awe, Afijio Local Government. The data sets used for the study include; Satellite imagery (Landsat) and topographic maps of the study area. The layers created include those for roads, water bodies, farm sites and the slope map of the study area to determine the degree of slope. The various created layers were subjected to buffering, overlay and query operations using ArcGis 9.3 alongside the established criteria for poultry waste site selection. At the end of the analytical processes, search query was used to generate two most suitable sites of an area that is less than or equal to 20,000m2 (2 hectares).Read Complete Article at ijSciences: V5201603988 AND DOI: http://dx.doi.org/10.18483/ijSci.98

    Assessment of Water Suitability for Irrigation in Keffi, Nasarawa State, Nigeria

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    The assessment of water quality for irrigation was carried out on the Antau river and surrounding wells in Keffi. Samples were collected along the river course; 150m apart using standard methods and at five different points using the grab technique. Also, samples were collected from wells in the study area. The colorimetric and titrimetric methods were used for water sample analysis. These methods were used to determine the presence of several elements in the different water samples used for agricultural purposes. Electrical conductivity, pH, nitrate, boron, temperature, total nitrogen, sulphate, sodium adsorption ratio (SAR) and adjusted sodium adsorption ratio (Adj. SAR) were determined for the samples. The values of the parameters were compared with recommended standards. A comparative analysis was carried out between river and well water. The high value of total dissolved solids and electrical conductivity were indications of the presence of high amount of salts in water. Bicarbonates concentration was low in the study area with mean values of 0.6075 and 0.0153 for river Antau and wells, respectively. Low values of 0.0054 - 0.0283 (Antau river) and 0.0216 - 1.4257 (well) of boron were obtained in this study. The water from the Antau River and wells were classified using sodium adsorption ratio (SAR) and electrical conductivity as stated by salinity hazards United States Department of Agriculture (USDA) as bad, marginal, moderate and good water. On the whole, well water was better than the Antau River but both sources of water can be used for agricultural purposes.Read Complete Article at ijSciences: V5201604998 AND DOI: http://dx.doi.org/10.18483/ijSci.99

    Intersecting Threats of Conflict, Climate Variability, and Psychosocial Stress: A Gendered Analysis of Agricultural Development and Food Security in Niger State, Nigeria

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    Agricultural development and food security in Nigeria are increasingly undermined by the converging pressures of climate variability, escalating rural insecurity, and psychosocial stressors, particularly in conflict-prone agrarian regions. Niger State, a key food-producing area, faces recurrent farmer–herder conflicts, erratic rainfall, and extreme weather events, all of which disrupt production cycles and threaten livelihoods. This study investigates the intersecting impacts of these threats through a gendered lens, highlighting both material and psychosocial dimensions. A mixed-methods design was employed, combining quantitative surveys with qualitative key informant interviews and focus group discussions. The quantitative component involved a stratified random sample of 420 male and female farmers drawn from 12 communities selected for high exposure to both conflict and climate-related hazards. Data collection was conducted using structured questionnaires, which captured gender-disaggregated information on farm access, yield changes, climate experiences, and psychosocial well-being. Descriptive statistics, chi-square tests, and logistic regression were applied to assess relationships between security, climatic, and psychosocial variables, while thematic analysis was used to synthesize qualitative narratives. Results show that farmer–herder conflicts and climate variability jointly reduced crop yields by an average of 27% and limited farm access for 61% of respondents. Psychosocial stressors, such as fear of attack, displacement trauma, and loss of social cohesion significantly reduced agricultural participation, with women reporting 34% higher levels of livelihood-related anxiety than men. Gender disparities were evident in coping strategies, resource access, and decision-making autonomy. The findings emphasize the urgent need for integrated, gender-responsive interventions that combine climate adaptation, rural security, mental health support, and equitable resource allocation to strengthen food systems in Nigeria’s conflict-affected agricultural zones
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