Browsing by Author "Khadijat Alabi"

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    Assessment of Selected Soil Micronutrients Status in Kwara State University Teaching and Research Farm, Malete, Nigeria
    (Badeggi Journal of Agricultural Research and Environment, 2022-09) Khadijat Alabi; Isaac Ade Afe; Rita Oyeyiola
    Field research was conducted to determine the availability and condition of soil micronutrients at the Teaching and Research Farm in Malete. The goal of the study is to assess the distribution and status of micronutrients and how they relate to a few key soil characteristics. A total of 173 soil samples were collected and compressed into 7 composite samples. Iron (Fe), Copper (Cu), Zinc (Zn), and Manganese (Mn) were the micronutrients determined in the laboratory using the Mehlich-III multi-nutrient extraction method. The particle size distribution (sand, silt, and clay), pH, and organic carbon of the soil were determined. The findings indicated that the soils of the teaching and research farm have a sandy loam texture, with sand concentrations of 80.64–82.64g/kg, silt at 6g/kg, and clay at 11.36–16.34g/kg. The results of the soil reaction revealed that the soils have minimal organic content (0.06-0.93g/kg) and are extremely acidic (5.1). The result of the soil micronutrients indicates that Fe content was high ((0.10-0.20mg/kg); copper was rated low (0.04-0.05 mg/kg); zinc was rated low (0.01-0.03 mg/kg) and manganese was also rated low (0.07-0.11mg/kg) respectively. The findings show that the key soil characteristics that affect the availability of micronutrients in the soil are sand particles, pH, and organic matter because of their substantial correlations. The highly substantial link between the investigated accessible micronutrients suggests that similar processes regulate both their availability and release to plants. Since the soils are suitable for the development of arable crops, additional applications of Fe-rich fertilizer won't be necessary, but a complementing supply of Fertilizers containing copper, zinc, and manganese is highly advised to improve the region's soil fertility.
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    Forest cover change in Onigambari reserve, Ibadan, Nigeria: Application of vegetation index and Markov chain techniques
    (Egyptian Journal Of remote sensing and space sciences, 2021-08) Khadijat Alabi; Anthony Tobore; Ganiyu Oyerinde; Bolarinwa Senjobi
    Forest cover change (FCC) varies globally and is thus considered as one of the drivers of climate change. The present study identified the pattern of the FCC for the years 2010 and 2020 using vegetation index and Markov chain techniques. The Markov chain (MC) was utilized to predict the forest cover map for the year 2030. The vegetation index of Landsat 7 Enhanced thematic mapper plus (ETM+) and Landsat 8 Operational land images (OLI) were employed to assess the forest cover loss for the years 2010 and 2020. The validation result shows that the accuracy of the predicted forest cover map is more than 75 percent (%). The prediction result shows that if the current human activities continue such as deforestation, the forest cover will continue to be endangered and thus leading to a decrease in dense forest, plantation, and sparse vegetation by 20.9%, 16.1%, and 20% respectively. Hence, there is an urgent need to integrate bottom-up and participatory approaches between agriculture activities and forestry for socioeconomic development. This study will ensure sustainable forest management by assisting society, government and stakeholders.