4.7 Article

Impact of Field Topography and Soil Characteristics on the Productivity of Alfalfa and Rhodes Grass: RTK-GPS Survey and GIS Approach

期刊

AGRONOMY-BASEL
卷 12, 期 12, 页码 -

出版社

MDPI
DOI: 10.3390/agronomy12122918

关键词

alfalfa; Rhodes grass; RTK-GPS; kriging; topographic indicators

资金

  1. Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia

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Understanding the spatial pattern of soil chemical properties and topographic indicators is crucial for agricultural management. This study found significant correlations between elevation, slope, flow accumulation, and crop yields, indicating the importance of water distribution in crop production.
Understanding the spatial pattern of soil chemical properties along with the topologic indicators is essential for site-specific agriculture management. A study was conducted on a 50 ha field to investigate the effect of selected topographic indicators, including elevation (DEM), slope (SL), flow accumulation (FA) and Topographic Wetness Index (TWI) on forage crop production. The soil samples and yield data were obtained from the field inventory. Topographical parameters of elevation and slope were estimated with the use of a real-time kinematic global positioning system (RTK-GPS), and then the DEM was generated. The collected soil samples were analyzed for pH, EC, nitrogen and soil organic carbon. Sentinel-2 images were for the creation of yield maps of alfalfa and Rhodes grass. Subsequently, on the basis of DEM, the generated elevation, slope and FA model were then compared with the yield and soil chemical properties. Statistical analysis revealed that the SL, FA and TWI, which are associated with water distribution, were significantly related to crop yields. The FA showed a medium-to-non-significant correlation with the productivity of both alfalfa (R-2 = 0.586; p = 0.015) and Rhodes grass (R-2 = 0.578; p = 0.01). A significant inverse correlation was recorded between the SL and the yield of both crops (R-2 = -0.591 to -0.617; p = 0.01). The yield map revealed that the majority of the area (37.56%) of the experimental field was occupied by the medium-yield class, followed by the high-yield class (33.03%).

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