Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang
【Objective】Qitai County, a major grain-producing area in Xinjiang, is adopting modern agricultural technologies such as aerial pest control, Beidou navigation, precision sowing, and integrated water-fertilizer management. Taking Yaozhanzi village as an example, this paper analyzes the spatial distri...
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Science Press
2025-07-01
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| Series: | Guan'gai paishui xuebao |
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| author | FAN Zikang WANG Chunxia YU Jing QIN Da YANG Yuefa WANG Hongxin |
| author_facet | FAN Zikang WANG Chunxia YU Jing QIN Da YANG Yuefa WANG Hongxin |
| author_sort | FAN Zikang |
| collection | DOAJ |
| description | 【Objective】Qitai County, a major grain-producing area in Xinjiang, is adopting modern agricultural technologies such as aerial pest control, Beidou navigation, precision sowing, and integrated water-fertilizer management. Taking Yaozhanzi village as an example, this paper analyzes the spatial distribution of soil quality in the region to provide a baseline for intelligent and precise agricultural management. 【Method】After harvesting wheat and corn, 69 soil sampling points were selected at 700 m intervals across the region. Samples were taken from the 0-40 cm soil layer for determining soil particle size composition and nutrient contents. Classical statistical methods were used to analyze the correlations between indicators, and geostatistical methods were used to assess the spatial variation of each indicator. Soil quality was evaluated using the soil quality index (SQI).【Result】Soil texture in the study area is coarse and alkaline. Soil pH, soil organic matter (SOM), and soil bulk density showed low spatial variability, whereas other soil indicators show moderate variability. Soil available iron, manganese, zinc, SOM, and soil bulk density showed moderate spatial autocorrelation, while other indicators showed strong spatial autocorrelation. Overall, soil quality was above average.【Conclusion】The coarse nature of soil texture in the region resulted in poor water and nutrient retention. Therefore, a high-frequency, low-volume drip irrigation strategy is recommended to reduce nutrient and water leaching. Additionally, applying an appropriate amount of acidic organic fertilizer can increase soil organic matter, improve soil structure, and enhance nitrogen and zinc fertilizer use efficiency. |
| format | Article |
| id | doaj-art-56890c5a350d49a4b45cefb1d1ac30e7 |
| institution | DOAJ |
| issn | 1672-3317 |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Science Press |
| record_format | Article |
| series | Guan'gai paishui xuebao |
| spelling | doaj-art-56890c5a350d49a4b45cefb1d1ac30e72025-08-20T03:15:26ZzhoScience PressGuan'gai paishui xuebao1672-33172025-07-01447546310.13522/j.cnki.ggps.2024404Spatial variation of soil quality in key grain-producing areas of Qitai County, XinjiangFAN Zikang0WANG Chunxia1YU Jing2QIN Da3YANG Yuefa4WANG Hongxin51. School of Water Conservancy and Architecture Engineering, Shihezi University, Shihezi 832000, China; 2. Key Laboratory of Ecological Water Conservancy Engineering Corps in Cold and Arid Regions, Shihezi 832000, China1. School of Water Conservancy and Architecture Engineering, Shihezi University, Shihezi 832000, China; 2. Key Laboratory of Ecological Water Conservancy Engineering Corps in Cold and Arid Regions, Shihezi 832000, China3. Qitai County Water Conservancy Management Station, Qitai 831800, China1. School of Water Conservancy and Architecture Engineering, Shihezi University, Shihezi 832000, China; 2. Key Laboratory of Ecological Water Conservancy Engineering Corps in Cold and Arid Regions, Shihezi 832000, China1. School of Water Conservancy and Architecture Engineering, Shihezi University, Shihezi 832000, China; 2. Key Laboratory of Ecological Water Conservancy Engineering Corps in Cold and Arid Regions, Shihezi 832000, China1. School of Water Conservancy and Architecture Engineering, Shihezi University, Shihezi 832000, China; 2. Key Laboratory of Ecological Water Conservancy Engineering Corps in Cold and Arid Regions, Shihezi 832000, China【Objective】Qitai County, a major grain-producing area in Xinjiang, is adopting modern agricultural technologies such as aerial pest control, Beidou navigation, precision sowing, and integrated water-fertilizer management. Taking Yaozhanzi village as an example, this paper analyzes the spatial distribution of soil quality in the region to provide a baseline for intelligent and precise agricultural management. 【Method】After harvesting wheat and corn, 69 soil sampling points were selected at 700 m intervals across the region. Samples were taken from the 0-40 cm soil layer for determining soil particle size composition and nutrient contents. Classical statistical methods were used to analyze the correlations between indicators, and geostatistical methods were used to assess the spatial variation of each indicator. Soil quality was evaluated using the soil quality index (SQI).【Result】Soil texture in the study area is coarse and alkaline. Soil pH, soil organic matter (SOM), and soil bulk density showed low spatial variability, whereas other soil indicators show moderate variability. Soil available iron, manganese, zinc, SOM, and soil bulk density showed moderate spatial autocorrelation, while other indicators showed strong spatial autocorrelation. Overall, soil quality was above average.【Conclusion】The coarse nature of soil texture in the region resulted in poor water and nutrient retention. Therefore, a high-frequency, low-volume drip irrigation strategy is recommended to reduce nutrient and water leaching. Additionally, applying an appropriate amount of acidic organic fertilizer can increase soil organic matter, improve soil structure, and enhance nitrogen and zinc fertilizer use efficiency.https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20250707&flag=1spatial variability characteristics; classical statistics; geostatistics; soil quality index; main grain crops in farmland |
| spellingShingle | FAN Zikang WANG Chunxia YU Jing QIN Da YANG Yuefa WANG Hongxin Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang Guan'gai paishui xuebao spatial variability characteristics; classical statistics; geostatistics; soil quality index; main grain crops in farmland |
| title | Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang |
| title_full | Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang |
| title_fullStr | Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang |
| title_full_unstemmed | Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang |
| title_short | Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang |
| title_sort | spatial variation of soil quality in key grain producing areas of qitai county xinjiang |
| topic | spatial variability characteristics; classical statistics; geostatistics; soil quality index; main grain crops in farmland |
| url | https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20250707&flag=1 |
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