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Estimating water balance, evapotranspiration and water use efficiency of spring safflower using the CROPGRO model

Author

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  • Singh, Sukhbir
  • Boote, Kenneth J.
  • Angadi, Sangamesh V.
  • Grover, Kulbhushan K.

Abstract

Inclusion of drought tolerant, low input crops such as safflower (Carthamus tinctorius L.) is one of the strategies to extend the life of fast declining Ogallala Aquifer in the Southern High Plains (SHP). Crop modeling is a viable option to simulate safflower water footprints in different climatic scenarios to assess its feasibility in optimization of water use in the SHP. Such progress would join corollary efforts to improve irrigation management practices of safflower for increased water productivity. The primary objective of the study was to calibrate the CROPGRO model for improved ability to simulate water balance, evapotranspiration (ET) and water use efficiency (WUE) of spring safflower. The model was calibrated based on soil water extraction data from PI8311 cultivar in an experiment conducted during 2013 and 2014 at Clovis, NM. The observed data from other two cultivars, 99OL and Nutrisaff, were used to evaluate the model. The model was able to simulate total above ground biomass of safflower in a reasonable fashion. The optimal prediction of soil water content, water balance and seed yield of safflower led to excellent ET and WUE simulations with root mean square error of 34mm and 0.6kgha−1mm−1, respectively. The satisfactory performance of the model for an independent data demonstrates that the CROPGRO model is capable of predicting water use of spring safflower in semi-arid regions of the SHP; however, site-specific calibrations based on weather, especially soil and rooting inputs may be needed in different regions.

Suggested Citation

  • Singh, Sukhbir & Boote, Kenneth J. & Angadi, Sangamesh V. & Grover, Kulbhushan K., 2017. "Estimating water balance, evapotranspiration and water use efficiency of spring safflower using the CROPGRO model," Agricultural Water Management, Elsevier, vol. 185(C), pages 137-144.
    • Handle: RePEc:eee:agiwat:v:185:y:2017:i:c:p:137-144
    DOI: 10.1016/j.agwat.2017.02.015
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    References listed on IDEAS

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    1. Singh, Sukhbir & Angadi, Sangamesh V. & Grover, Kulbhushan & Begna, Sultan & Auld, Dick, 2016. "Drought response and yield formation of spring safflower under different water regimes in the semiarid Southern High Plains," Agricultural Water Management, Elsevier, vol. 163(C), pages 354-362.
    2. Singh, Sukhbir & Angadi, Sangamesh V. & Grover, Kulbhushan K. & Hilaire, Rolston St. & Begna, Sultan, 2016. "Effect of growth stage based irrigation on soil water extraction and water use efficiency of spring safflower cultivars," Agricultural Water Management, Elsevier, vol. 177(C), pages 432-439.
    3. Jiang, Yiwen & Zhang, Lanhui & Zhang, Baoqing & He, Chansheng & Jin, Xin & Bai, Xiao, 2016. "Modeling irrigation management for water conservation by DSSAT-maize model in arid northwestern China," Agricultural Water Management, Elsevier, vol. 177(C), pages 37-45.
    4. K.J. Boote & J.W. Jones & G. Hoogenboom & J.W. White, 2010. "The Role of Crop Systems Simulation in Agriculture and Environment," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 1(1), pages 41-54, January.
    5. DeJonge, K.C. & Ascough, J.C. & Andales, A.A. & Hansen, N.C. & Garcia, L.A. & Arabi, M., 2012. "Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation," Agricultural Water Management, Elsevier, vol. 115(C), pages 92-103.
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    2. Han, Qifei & Li, Chaofan & Zhao, Chengyi & Zhang, Yaoqi & Li, Shoubo, 2018. "Grazing decreased water use efficiency in Central Asia from 1979 to 2011," Ecological Modelling, Elsevier, vol. 388(C), pages 72-79.
    3. Longo-Minnolo, G. & Vanella, D. & Consoli, S. & Intrigliolo, D.S. & Ramírez-Cuesta, J.M., 2020. "Integrating forecast meteorological data into the ArcDualKc model for estimating spatially distributed evapotranspiration rates of a citrus orchard," Agricultural Water Management, Elsevier, vol. 231(C).

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