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Simulating yield potential by irrigation and yield gap of rainfed soybean using APEX model in a humid region

Author

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  • Zhang, Bangbang
  • Feng, Gary
  • Kong, Xiangbin
  • Lal, Rattan
  • Ouyang, Ying
  • Adeli, Ardeshir
  • Jenkins, Johnie N.

Abstract

Soybean is generally grown under rainfed conditions in a humid region, Mississippi, USA. In order to determine how much maximum yield could be increased by irrigation, it is crucial to investigate the yield potential (Yp) without any drought stress and yield gap (Yg, between Yp and rainfed yield (Yw)). Further, it is also important to determine the amount of irrigation water needed to alleviate any drought stress during the entire growing season, and conduct cost-return analysis for irrigated soybean. Therefore, the objectives of this study were to: (1) simulate Yp, analyze Yg and determine the irrigation timing and amount needed to achieve Yp for soybean using the Agricultural Policy/Environmental eXtender (APEX) model; and (2) compute water use efficiency (WUE), irrigation water use efficiency (IWUE) and conduct the cost-return analysis on irrigation events. Simulated Yp of soybean without water stress for nine soil types from 2002 to 2014 ranged from 4.47 to 6.51Mgha−1, and was strongly correlated with accumulative solar radiation during the growing season (R2=0.71, P≤0.01). The Yg in dry years was much higher than that in normal and wet years, with average Yg of 1.58, 0.60 and 0.71Mgha−1 for dry, normal and wet years, respectively. Griffith, Sumter and Demopolis soils had the highest average Yg over 13 years, ranging from 1.37 to 1.60Mgha−1. The average irrigation amount was 308, 192 and 157mm in dry, normal and wet years, respectively. The average irrigation amount was 75mm from R1 to R8 stages. The WUE of nine soil types from 2002 to 2014, under non-limiting water conditions, ranged from 9.5 to 13.8kgha−1mm−1. The magnitude of Yg was the principle factor affecting IWUE among nine soil types. The average IWUE over 13 years ranged from 1.8 to 7.8kgha−1mm−1 for nine soil types. Compared with a rainfed condition, average net return of irrigated soybean increased by 93 $ ha−1 (dollar per hectare) among nine soil types from 2002 to 2014. The average net return increased by 195, 58 and 70 $ ha−1 for dry, normal and wet years, respectively.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agiwat:v:177:y:2016:i:c:p:440-453
    DOI: 10.1016/j.agwat.2016.08.029
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    References listed on IDEAS

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    1. Mullen, Jeffrey D. & Yu, Yingzhuo & Hoogenboom, Gerrit, 2009. "Estimating the demand for irrigation water in a humid climate: A case study from the southeastern United States," Agricultural Water Management, Elsevier, vol. 96(10), pages 1421-1428, October.
    2. Garcia y Garcia, A. & Persson, T. & Guerra, L.C. & Hoogenboom, G., 2010. "Response of soybean genotypes to different irrigation regimes in a humid region of the southeastern USA," Agricultural Water Management, Elsevier, vol. 97(7), pages 981-987, July.
    3. Nijbroek, Ravic & Hoogenboom, Gerrit & Jones, James W., 2003. "Optimizing irrigation management for a spatially variable soybean field," Agricultural Systems, Elsevier, vol. 76(1), pages 359-377, April.
    4. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(3), pages 243-243, December.
    5. Karam, Fadi & Masaad, Randa & Sfeir, Therese & Mounzer, Oussama & Rouphael, Youssef, 2005. "Evapotranspiration and seed yield of field grown soybean under deficit irrigation conditions," Agricultural Water Management, Elsevier, vol. 75(3), pages 226-244, July.
    6. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(2), pages 129-130, November.
    7. Payero, José O. & Tarkalson, David D. & Irmak, Suat & Davison, Don & Petersen, James L., 2008. "Effect of irrigation amounts applied with subsurface drip irrigation on corn evapotranspiration, yield, water use efficiency, and dry matter production in a semiarid climate," Agricultural Water Management, Elsevier, vol. 95(8), pages 895-908, August.
    8. 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.
    9. Powers, S.E. & Ascough, J.C. & Nelson, R.G. & Larocque, G.R., 2011. "Modeling water and soil quality environmental impacts associated with bioenergy crop production and biomass removal in the Midwest USA," Ecological Modelling, Elsevier, vol. 222(14), pages 2430-2447.
    10. Hook, James E., 1994. "Using crop models to plan water withdrawals for irrigation in drought years," Agricultural Systems, Elsevier, vol. 45(3), pages 271-289.
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    2. 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.
    3. Feng, Kuishuang & Chen, Xiangjie, 2023. "Water and Land Stress in Bolivia, Colombia, Ecuador, and Peru under Coupled Climate-Socioeconomic Scenarios," IDB Publications (Working Papers) 13093, Inter-American Development Bank.
    4. 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).
    5. Joe F. Bozeman & Rayne Bozeman & Thomas L. Theis, 2020. "Overcoming climate change adaptation barriers: A study on food–energy–water impacts of the average American diet by demographic group," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 383-399, April.
    6. da Silva, Evandro H.F.M. & Gonçalves, Alexandre O. & Pereira, Rodolfo A. & Fattori Júnior, Izael M. & Sobenko, Luiz R. & Marin, Fábio R., 2019. "Soybean irrigation requirements and canopy-atmosphere coupling in Southern Brazil," Agricultural Water Management, Elsevier, vol. 218(C), pages 1-7.
    7. 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).

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