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Simulation of Water Productivity under Conservation Tillage for Spring Wheat in Dryland Areas of Central Gansu Based on the APSIM Model
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Wei Zhao1, 2, Lingling Li1, 2, Yuanhong Zhang1, 2, Zhen Zhu1, 2, Hutao Wu1, 2
Journal of Triticeae Crops | 2026, 46(10) : 1399 - 1412
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Journal of Triticeae Crops | 2026, 46(10): 1399-1412
• Physiology, Ecology and Cultivation •
Simulation of Water Productivity under Conservation Tillage for Spring Wheat in Dryland Areas of Central Gansu Based on the APSIM Model
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Wei Zhao1, 2, Lingling Li1, 2, Yuanhong Zhang1, 2, Zhen Zhu1, 2, Hutao Wu1, 2
Affiliations
  • 1.College of Agriculture, Gansu Agricultural University, Lanzhou, Gansu 730070, China
  • 2.State Key Laboratory of Aridland Crop Sciences, Lanzhou, Gansu 730070, China
Published: 2026-10-15 doi: 10.7606/j.issn.1009-1041.2026.10.14
Outline
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To investigate the impact of long-term conservation tillage on spring wheat water productivity and evaluate yield stability under different precipitation patterns, this study utilised a long-term conservation tillage plot trial established in 2001 at the Dingxi Dryland Agriculture Comprehensive Experimental Station of Gansu Agricultural University. Four treatments were implemented: conventional tillage (T), no-tillage (NT), conventional tillage with straw incorporation (TS), and no-tillage with straw mulching (NTS). Field data from 2024-2025 were used to calibrate and validate the APSIM model, which was then applied to simulate soil organic carbon and spring wheat water productivity under different tillage practices from 2002 to 2025. The results showed that the APSIM model demonstrated good accuracy and adaptability in the study area, with the normalized root mean square error (NRMSE) between observed and simulated phenological phase values of spring wheatt in 2024-2025 below 15%. Simulated spring wheat yield under different tillage practices showed significantly positive correlations with observed values over the two years, with coefficients of determination of 0.899 and 0.978, respectively. The NRMSE was 4.6% and 2.3%, respectively, and the coefficient of determination exceeded 0.90 in all cases. The NRMSE between model-simulated and observed soil water storage throughout the spring wheat growth period was 6.5% and 7.2%, respectively, indicating the model's capability to accurately simulate indicators related to soil moisture productivity in wheat fields. Long-term simulation results indicated precipitation was the key factor influencing spring wheat production in this region. Farmland productivity stability and sustainability peaked in normal-precipitation years and were lowest in drought years. Spring wheat yield showed no significant difference between wet and normal years but was markedly higher than that in drought years, with an increase rate of 23.2% and 22.4%, respectively. The no-tillage straw mulching (NTS) treatment demonstrated significant advantages under various tillage practices and precipitation patterns. Specifically, it exhibited higher organic carbon storage (0-30 cm), yield, and water use efficiency than other treatments. Moreover, it demonstrated superior yield stability and field sustainability when confronting water shortages. Over all no-tillage straw mulching is an effective tillage practice suitable for achieving high and stable crop yield in the local context.

Arid farming region of central Gansu  /  Spring wheat  /  APSIM model  /  Tillage practices  /  Water productivity
赵位, 李玲玲, 张元红, 祝榛, 吴虎涛. 基于APSIM模型的陇中旱地春小麦保护性耕作水分生产力模拟. 麦类作物学报, 2026 , 46 (10) : 1399 -1412 . DOI: 10.7606/j.issn.1009-1041.2026.10.14
Wei Zhao, Lingling Li, Yuanhong Zhang, Zhen Zhu, Hutao Wu. Simulation of Water Productivity under Conservation Tillage for Spring Wheat in Dryland Areas of Central Gansu Based on the APSIM Model[J]. Journal of Triticeae Crops, 2026 , 46 (10) : 1399 -1412 . DOI: 10.7606/j.issn.1009-1041.2026.10.14
Year 2026 volume 46 Issue 10
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7
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doi: 10.7606/j.issn.1009-1041.2026.10.14
  • Receive Date:2026-02-07
  • Online Date:2026-10-27
  • Published:2026-10-15
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  • Received:2026-02-07
  • Revised:2026-03-07
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Affiliations
    1.College of Agriculture, Gansu Agricultural University, Lanzhou, Gansu 730070, China
    2.State Key Laboratory of Aridland Crop Sciences, Lanzhou, Gansu 730070, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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