| Effects of alfalfa planting years on soil quality of aeolian sandy soil in Southern Xinjiang and diagnosis of obstacle factors |
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| DOI：10.7606/j.issn.1000-7601.2026.03.20 |
| Key Words: alfalfa planting year principal component analysis cluster analysis soil quality index obstacle factor aeolian sandy soil |
| Author Name | Affiliation | | LI Ning | State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | NING Songrui | State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | YAN An | College of Prataculture,Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China | | QU Zuohao | College of Prataculture,Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China | | LIU Weiyang | College of Agronomy, Tarim University, Alal, Xinjiang 843300, China |
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| Abstract: |
| To clarify the impact of planting duration on soil quality in the aeolian sandy soil of southern Xinjiang and diagnose the obstacle factors, this study selected plots with 1-year, 2-year, 3-year, and 4-year plantings of alfalfa (Medicago sativa L.) as research objects, with undeveloped land in the Hotan region of Xinjiang serving as the control (CK). Physicochemical property indicators were measured in the 0-100 cm soil layer of the root zone, and a minimum dataset for soil quality evaluation based on principal component analysis and cluster analysis was constructed. The soil quality index was calculated using the non\|dimensional value method and the subordinate degree method, respectively, and the main obstacle factors affecting soil quality in alfalfa fields with different planting durations were diagnosed using the obstacle degree model. The results showed that the minimum dataset evaluating the soil quality of aeolian sandy soil in southern Xinjiang using non\|dimensional values combined with cluster analysis had high accuracy (Nash coefficient of 0.719). This minimum dataset included organic matter, available phosphorus, pH value, and electrical conductivity of soil. The soil quality index of the 0-100 cm soil layer in alfalfa fields in southern Xinjiang ranged from high to low as follows: planting of 3-year (0.362~0.852), 4-year (0.346~0.579), 2-year (0.290~0.519), 1-year (0.226~0.309), and CK (0.153~0.309). The lack of available nutrients such as organic matter, alkali\|hydrolyzable nitrogen, available phosphorus, and available potassium was the main limiting factor affecting soil quality improvement in alfalfa fields with different planting durations in southern Xinjiang, with an obstacle degree ranging from 0.0879 to 0.3303. |
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