Delineation of Soil Fertility Management Zones for Site-Specific Nutrient Management in the Maize Belt Region of Nigeria
| Autor: | Alpha Y. Kamara, Ayuba M. Samndi, J. M. Jibrin, Adam M. Adam, I.B. Mohammed, Reuben Solomon, Jeroen Huising, Bello M. Shehu, Julius Adewopo, Kamaluddin T. Aliyu |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Soil test geostatistical analysis Geography Planning and Development TJ807-830 northern Nigeria Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources Soil management Soil retrogression and degradation Cation-exchange capacity GE1-350 soil quality Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Nutrient management management zones 04 agricultural and veterinary sciences Soil quality Environmental sciences Agronomy 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Spatial variability spatial variability Soil fertility multivariate clustering 010606 plant biology & botany |
| Zdroj: | Sustainability Volume 12 Issue 21 Sustainability, Vol 12, Iss 9010, p 9010 (2020) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su12219010 |
| Popis: | Site-specific nutrient management can reduce soil degradation and crop production risks related to undesirable timing, amount, and type of fertilizer application. This study was conducted to understand the spatial variability of soil properties and delineate spatially homogenous nutrient management zones (MZs) in the maize belt region of Nigeria. Soil samples (n = 3387) were collected across the area using multistage and random sampling techniques, and samples were analyzed for pH, soil organic carbon (SOC), macronutrients (N, P, K, S, Ca and Mg), micronutrients (S, B, Zn, Mn and Fe) content, and effective cation exchange capacity (ECEC). Spatial distribution and variability of these parameters were assessed using geostatistics and ordinary kriging, while principal component analysis (PCA) and multivariate K-means cluster analysis were used to delineate nutrient management zones. Results show that spatial variation of macronutrients (total N, available P, and K) was largely influenced by intrinsic factors, while that of S, Ca, ECEC, and most micronutrients was influenced by both intrinsic and extrinsic factors with moderate to high spatial variability. Four distinct management zones, namely, MZ1, MZ2, MZ3, and MZ4, were identified and delineated in the area. MZ1 and MZ4 have the highest contents of most soil fertility indicators. MZ4 has a higher content of available P, Zn, and pH than MZ1. MZ2 and MZ3, which constitute the larger part of the area, have smaller contents of the soil fertility indicators. The delineated MZs offer a more feasible option for developing and implementing site-specific nutrient management in the maize belt region of Nigeria. |
| Databáze: | OpenAIRE |
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