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Soybean crop-water production functions in a humid region across years and soils determined with APEX model

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  • Zhang, Bangbang
  • Feng, Gary
  • Ahuja, Lajpat R.
  • Kong, Xiangbin
  • Ouyang, Ying
  • Adeli, Ardeshir
  • Jenkins, Johnie N.

Abstract

Crop production as a function of water use or water applied, called the crop water production function (CWPF), is a useful tool for irrigation planning, design and management. However, these functions are not only crop and variety specific they also vary with soil types and climatic conditions (locations). Derivation of multi-year average CWPFs through field experiments for different locations and soils is time-consuming and expensive, as it requires careful long-term and multi-location field experiments to obtain them. Process based crop system models provide a useful tool for determining CWPFs using short-term field experimental data for calibration and validation. The aim of this study was to determine soybean CWPFs using the Agricultural Policy/Environmental eXtender (APEX) model across three soil types (Vaiden-silty clay, Cahaba-sandy loam, and Demopolis-clay loam) and three weather conditions (14-year average from 2002 to 2015, dry, and wet) of a humid irrigated region in Mississippi, USA. The results showed that the relationship between simulated soybean grain yield (GY) and the seasonal crop evapotranspiration (ET) for each soil under 14-year average weather condition was linear. Compared with the Vaiden soil, the Cahaba and Demopolis soils had slightly higher water use efficiency (WUE) over 14-year average weather conditions. The CWPFs for GY vs supplemental irrigation were cubic polynomials for all soil types and weather conditions, with varying coefficients. The maximum values of irrigation water use efficiency (IWUEmax) derived from these cubic CWPFs varied from 2.58 to 9.89 kg ha−1 mm−1 across soils and weather conditions. The irrigation amount during the growing season required (Imax) to achieve the maximum GY for soybean also had a wide range of values, from 110 to 405 mm. The IWUE and Imax were related to available water holding capacity of soils. The relationship between GY and total plant available water supply (TWS) was also a cubic function, with coefficients varying with soil types and climatic conditions. The yield response factor (Ky) was 1.24 (greater than 1.00) when averaged over 14 years’ weather data, indicating that soybean was very sensitive to water stress even in a humid region like Mississippi. Thus, supplemental irrigation is necessary to increase GY and ensure stability in yields.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:204:y:2018:i:c:p:180-191
    DOI: 10.1016/j.agwat.2018.03.024
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    1. Al-Jamal, M. S. & Sammis, T. W. & Ball, S. & Smeal, D., 2000. "Computing the crop water production function for onion," Agricultural Water Management, Elsevier, vol. 46(1), pages 29-41, November.
    2. Zhang, Heping & Oweis, Theib, 1999. "Water-yield relations and optimal irrigation scheduling of wheat in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 38(3), pages 195-211, January.
    3. Hassanli, Mohammad & Ebrahimian, Hamed & Mohammadi, Ehsan & Rahimi, Amirreza & Shokouhi, Amirhossein, 2016. "Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models," Agricultural Water Management, Elsevier, vol. 176(C), pages 91-99.
    4. 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.
    5. 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.
    6. 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.
    7. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    8. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(3), pages 243-243, December.
    9. Saseendran, S.A. & Ahuja, Lajpat R. & Ma, Liwang & Trout, Thomas J. & McMaster, Gregory S. & Nielsen, David C. & Ham, Jay M. & Andales, Allan A. & Halvorson, Ardel D. & Chávez, José L. & Fang, Quanxia, 2015. "Developing and normalizing average corn crop water production functions across years and locations using a system model," Agricultural Water Management, Elsevier, vol. 157(C), pages 65-77.
    10. Brumbelow, Kelly & Georgakakos, Aris, 2007. "Determining crop-water production functions using yield-irrigation gradient algorithms," Agricultural Water Management, Elsevier, vol. 87(2), pages 151-161, January.
    11. 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.
    12. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(2), pages 129-130, November.
    13. Tolk, J.A. & Howell, T.A., 2008. "Field water supply:yield relationships of grain sorghum grown in three USA Southern Great Plains soils," Agricultural Water Management, Elsevier, vol. 95(12), pages 1303-1313, December.
    14. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.
    15. Kipkorir, E. C. & Raes, D. & Massawe, B., 2002. "Seasonal water production functions and yield response factors for maize and onion in Perkerra, Kenya," Agricultural Water Management, Elsevier, vol. 56(3), pages 229-240, August.
    16. 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.
    17. 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.
    18. Gerçek, Sinan & Boydak, Erkan & Okant, Mustafa & Dikilitas, Murat, 2009. "Water pillow irrigation compared to furrow irrigation for soybean production in a semi-arid area," Agricultural Water Management, Elsevier, vol. 96(1), pages 87-92, January.
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