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Using on-the-ground surface energy balance to monitor vine water status and evapotranspiration under deficit irrigation and rainfed conditions

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  • Valentín, Francisco
  • Sánchez, Juan Manuel
  • Martínez-Moreno, Alejandro
  • Intrigliolo, Diego S.
  • Buesa, Ignacio
  • López-Urrea, Ramón

Abstract

Vineyards occupy large areas in many Mediterranean agroecosystems, in which their evapotranspiration is a major component of the water cycle. The correct determination of the actual crop evapotranspiration (ETa) is critical for accurate irrigation scheduling, allowing to match irrigation applications to crop water needs. This study was conducted to monitor the vineyard ETa and its partitioning into soil evaporation (E) and plant transpiration (T), under deficit irrigation and rainfed conditions, and to obtain the relationship between the estimated relative water stress coefficient (Ks,r) and measured midday stem water potential (Ψstem). A 2-year field experiment was carried out in a ‘Monastrell’ commercial vineyard located in Fuente Álamo (Albacete, SE Spain). Thermal infrared radiometers were deployed in both treatments, together with a weather station, to gather all the inputs required in the simplified two-source energy balance (STSEB) approach. Results showed that the accumulated ETa ranged between 183 and 253 mm for the irrigated treatment, and between 121 and 158 mm for the rainfed conditions. Canopy transpiration in the irrigation treatment almost double the value obtained in rainfed conditions for both years, and the ratio T/ETa increases around 8–9% in the irrigation treatment. The E component ranged from 21% for the irrigated treatment up to 50% for the rainfed treatment, confirming its importance in the vineyard water balance. A good linear relationship (r2 =0.650) was obtained between Ks,r and Ψstem, indicating the potential of using a surface energy balance approach in conjunction with plant radiometric temperature measurements to monitor the vines water status. Moreover, the rainfed treatment reduced the values of stomatal conductance (gs), transpiration (El) and net photosynthesis (AN) compared to the irrigated treatment, whereas no increase in the intrinsic water-use efficiency (WUEi) nor the instantaneous water-use efficiency (WUEinst) was observed. The reported results will be useful for improving deficit irrigation scheduling techniques for ‘Monastrell’ red grapes.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:agiwat:v:281:y:2023:i:c:s0378377423001051
    DOI: 10.1016/j.agwat.2023.108240
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    References listed on IDEAS

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    1. Er-Raki, S. & Rodriguez, J.C. & Garatuza-Payan, J. & Watts, C.J. & Chehbouni, A., 2013. "Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index," Agricultural Water Management, Elsevier, vol. 122(C), pages 12-19.
    2. Häusler, Melanie & Conceição, Nuno & Tezza, Luca & Sánchez, Juan M. & Campagnolo, Manuel L. & Häusler, Andreas J. & Silva, João M.N. & Warneke, Thorsten & Heygster, Georg & Ferreira, M. Isabel, 2018. "Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing," Agricultural Water Management, Elsevier, vol. 201(C), pages 188-198.
    3. Santesteban, L.G. & Miranda, C. & Marín, D. & Sesma, B. & Intrigliolo, D.S. & Mirás-Avalos, J.M. & Escalona, J.M. & Montoro, A. & de Herralde, F. & Baeza, P. & Romero, P. & Yuste, J. & Uriarte, D. & M, 2019. "Discrimination ability of leaf and stem water potential at different times of the day through a meta-analysis in grapevine (Vitis vinifera L.)," Agricultural Water Management, Elsevier, vol. 221(C), pages 202-210.
    4. Zhang, Baozhong & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Du, Taisheng, 2010. "Variation in vineyard evapotranspiration in an arid region of northwest China," Agricultural Water Management, Elsevier, vol. 97(11), pages 1898-1904, November.
    5. Campos, Isidro & Neale, Christopher M.U. & Calera, Alfonso & Balbontín, Claudio & González-Piqueras, Jose, 2010. "Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)," Agricultural Water Management, Elsevier, vol. 98(1), pages 45-54, December.
    6. 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.
    7. Munitz, Sarel & Schwartz, Amnon & Netzer, Yishai, 2019. "Water consumption, crop coefficient and leaf area relations of a Vitis vinifera cv. 'Cabernet Sauvignon' vineyard," Agricultural Water Management, Elsevier, vol. 219(C), pages 86-94.
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