Optimizing Sunflower Production Through the Use of GIS-Based Soil Fertility Management Strategy
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Date
2024-08
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Taylor & Francis Group
Abstract
This study aimed to use a GIS-based approach in producing soil fertility maps and utilize the
spatial data on achieving site-specific management of major nutrients in Morogoro, Tanzania.
Soil samples were collected in six mapping units and analyzed for chemical properties such
as pH, cation exchange capacity and electrical conductivity. ArcGIS 10.8 was used to produce
nutrient variability maps of organic carbon, available P, total nitrogen and exchangeable K, Ca
and Mg using the Inverse Distance Weight (IDW) interpolation method. The soil pH values
ranged from 5.5 to 7.2. OC varied between 1.2 and 4.9g kg−1, TN ranged from low to medium
(1.0 to 5.0g kg−1) whereas Av. P varied between l3.3 and 14.3mg kg−1. Exchangeable K, Ca
and Mg had ranges (in cmol kg−1) of between 0.1 to 0.8 (low to medium), 3.8 to 15.6 (low to
high) and 0.3 to 0.5 (low), cmol kg−1. The recommended amounts were 74, 44, 36, 35 and
12kg ha−1 for N, P2O5, K2O, MgO and CaO, respectively. Conducting soil analysis is key for
monitoring the amount of nutrients that are available in the soil at time and space, to achieve
site-specific nutrient management.
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Citation
Nungula, E. Z., Massawe, B. J., Chappa, L. R., Nhunda, D. M., Seleiman, M. F., Ali, N., & Gitari, H. I. (2024). Optimizing sunflower production through the use of GIS-based soil fertility management strategy. Cogent Food & Agriculture, 10(1), 2390685.