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Assessing crop coefficients of sunflower and canola using two-source energy balance and thermal radiometry

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  • Sánchez, J.M.
  • López-Urrea, R.
  • Rubio, E.
  • González-Piqueras, J.
  • Caselles, V.

Abstract

A new technique for the local adjustments in crop coefficients is presented. This is an alternative to conventional lysimeter measurements traditionally used for improved irrigation scheduling. The method is based on the combination of a two-source energy balance model and local measurements of radiometric temperatures. Two experimental campaigns were carried out on sunflower and canola in a cropland area located in Barrax, Albacete, in the summer of 2011 and spring of 2012, respectively. Radiometric temperatures of soil and canopy were collected, together with biophysical and meteorological variables. Combining all these data in a two-source energy balance model allowed separation of both the evaporation and transpiration components of the total evapotranspiration (ET). Model results were first compared to local measurements from a lysimeter. Estimation errors around ±0.20mm/h and ±1.0mm/d were observed for both sunflower and canola crops at hourly and daily scales, besides uncertainties lower than 3% for the cumulated ET for the whole campaigns. Results were then used to assess values of the different crop coefficients for this site and the two crops. Comparison with values proposed by FAO56 showed significant discrepancies that yielded to 1–2mm/d uncertainty in terms of daily evaporation and transpiration values, and underestimations of 0.6 and 1.3mm/d, together with estimation errors of ±1.1 and ±1.7mm/d for sunflower and canola, respectively, in terms of daily ET values. Although partitioning of ET needs further study involving field data of evaporation and transpiration, these results reinforce the necessity for the local adjustment of the crop coefficients used as inputs in water balance models, and show the potential of the technique proposed to achieve this goal.

Suggested Citation

  • Sánchez, J.M. & López-Urrea, R. & Rubio, E. & González-Piqueras, J. & Caselles, V., 2014. "Assessing crop coefficients of sunflower and canola using two-source energy balance and thermal radiometry," Agricultural Water Management, Elsevier, vol. 137(C), pages 23-29.
    • Handle: RePEc:eee:agiwat:v:137:y:2014:i:c:p:23-29
    DOI: 10.1016/j.agwat.2014.02.002
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    1. Lopez-Urrea, R. & Martin de Santa Olalla, F. & Fabeiro, C. & Moratalla, A., 2006. "Testing evapotranspiration equations using lysimeter observations in a semiarid climate," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 15-26, September.
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    4. Piccinni, Giovanni & Ko, Jonghan & Marek, Thomas & Howell, Terry, 2009. "Determination of growth-stage-specific crop coefficients (KC) of maize and sorghum," Agricultural Water Management, Elsevier, vol. 96(12), pages 1698-1704, December.
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    1. Wang, Yunfei & Cai, Huanjie & Yu, Lianyu & Peng, Xiongbiao & Xu, Jiatun & Wang, Xiaowen, 2020. "Evapotranspiration partitioning and crop coefficient of maize in dry semi-humid climate regime," Agricultural Water Management, Elsevier, vol. 236(C).
    2. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    3. Valentín, Francisco & Sánchez, Juan Manuel & Martínez-Moreno, Alejandro & Intrigliolo, Diego S. & Buesa, Ignacio & López-Urrea, Ramón, 2023. "Using on-the-ground surface energy balance to monitor vine water status and evapotranspiration under deficit irrigation and rainfed conditions," Agricultural Water Management, Elsevier, vol. 281(C).
    4. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    5. López-Urrea, R. & Sánchez, J.M. & de la Cruz, F. & González-Piqueras, J. & Chávez, J.L., 2020. "Evapotranspiration and crop coefficients from lysimeter measurements for sprinkler-irrigated canola," Agricultural Water Management, Elsevier, vol. 239(C).
    6. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(C).
    7. Wang, Shangtao & Zhu, Gaofeng & Xia, Dunsheng & Ma, Jinzhu & Han, Tuo & Ma, Ting & Zhang, Kun & Shang, Shasha, 2019. "The characteristics of evapotranspiration and crop coefficients of an irrigated vineyard in arid Northwest China," Agricultural Water Management, Elsevier, vol. 212(C), pages 388-398.

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