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Simulating soybean productivity under rainfed conditions for major soil types using APEX model in East Central Mississippi

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  • Zhang, Bangbang
  • Feng, Gary
  • Read, John J.
  • Kong, Xiangbin
  • Ouyang, Ying
  • Adeli, Ardeshir
  • Jenkins, Johnie N.

Abstract

Knowledge of soybean yield constraints under rainfed conditions on major soil types in East Central Mississippi would assist growers in the region to effectively utilize the benefits of water/irrigation management. The objectives of this study were to use the Agricultural Policy/Environmental eXtender (APEX) agro-ecosystem model to simulate rainfed soybean grain yield (GY) for nine major soils during 14 years (2002–2015) and then to evaluate selected model inputs/outputs in relation to irrigation management that may decrease difference in simulated GY among the different soils. Values for GY ranged broadly from 2.24 to 6.14Mgha−1 across soils and years, giving a maximum yield difference of 3.90Mgha−1. For the average GY of nine soils, the range was from 3.52 to 5.42Mgha−1 over 14 years. Averaged across 14 years, GY ranged from 3.66 to 4.90Mgha−1 across the nine soils and was affected by difference in soil texture (clay and sand percentages) and soil available water content (AWC). Simulations revealed relatively high water stress during the R4, R5 and R6 stages of plant development (early- to mid-fruit development), suggesting great potential to enhance soybean yield if some irrigation is provided during these critical water stress periods; whereas, the potential was accordingly less in the normal and wet years. Results indicated installing irrigation on Griffith, Sumter or Demopolis soils would have a large impact through increased crop productivity and yield stability.

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  • Zhang, Bangbang & Feng, Gary & Read, John J. & Kong, Xiangbin & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2016. "Simulating soybean productivity under rainfed conditions for major soil types using APEX model in East Central Mississippi," Agricultural Water Management, Elsevier, vol. 177(C), pages 379-391.
    • Handle: RePEc:eee:agiwat:v:177:y:2016:i:c:p:379-391
    DOI: 10.1016/j.agwat.2016.08.022
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    3. Zhang, Bangbang & Feng, Gary & Kong, Xiangbin & Lal, Rattan & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2016. "Simulating yield potential by irrigation and yield gap of rainfed soybean using APEX model in a humid region," Agricultural Water Management, Elsevier, vol. 177(C), pages 440-453.
    4. Zhao, Jie & Han, Tong & Wang, Chong & Jia, Hao & Worqlul, Abeyou W. & Norelli, Nicole & Zeng, Zhaohai & Chu, Qingquan, 2020. "Optimizing irrigation strategies to synchronously improve the yield and water productivity of winter wheat under interannual precipitation variability in the North China Plain," Agricultural Water Management, Elsevier, vol. 240(C).
    5. Yang, Wei & Feng, Gary & Adeli, Ardeshir & Kersebaum, K.C. & Jenkins, Johnie N. & Li, Pinfang, 2019. "Long-term effect of cover crop on rainwater balance components and use efficiency in the no-tilled and rainfed corn and soybean rotation system," Agricultural Water Management, Elsevier, vol. 219(C), pages 27-39.
    6. Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
    7. Zhang, Bangbang & Feng, Gary & Ahuja, Lajpat R. & Kong, Xiangbin & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2018. "Soybean crop-water production functions in a humid region across years and soils determined with APEX model," Agricultural Water Management, Elsevier, vol. 204(C), pages 180-191.
    8. Tewodros Assefa & Manoj Jha & Manuel Reyes & Abeyou W. Worqlul, 2018. "Modeling the Impacts of Conservation Agriculture with a Drip Irrigation System on the Hydrology and Water Management in Sub-Saharan Africa," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    9. Talebizadeh, Mansour & Moriasi, Daniel & Gowda, Prasanna & Steiner, Jean L. & Tadesse, Haile K. & Nelson, Amanda M. & Starks, Patrick, 2018. "Simultaneous calibration of evapotranspiration and crop yield in agronomic system modeling using the APEX model," Agricultural Water Management, Elsevier, vol. 208(C), pages 299-306.
    10. Li, Runwei & Wei, Chenyang & Afroz, Mahnaz Dil & Lyu, Jun & Chen, Gang, 2021. "A GIS-based framework for local agricultural decision-making and regional crop yield simulation," Agricultural Systems, Elsevier, vol. 193(C).
    11. Zhao, Jie & Zhang, Xuepeng & Yang, Yadong & Zang, Huadong & Yan, Peng & Meki, Manyowa N. & Doro, Luca & Sui, Peng & Jeong, Jaehak & Zeng, Zhaohai, 2021. "Alternative cropping systems for groundwater irrigation sustainability in the North China Plain," Agricultural Water Management, Elsevier, vol. 250(C).
    12. Feng, Gary & Jin, Wei & Ouyang, Ying & Huang, Yanbo, 2024. "The role of changing land use and irrigation scheduling in groundwater depletion mitigation in a humid region," Agricultural Water Management, Elsevier, vol. 291(C).

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