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Automatic irrigation system based on dual crop coefficient, soil and plant water status for Vitis vinifera (cv Godello and cv Mencía)

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  • Cancela, J.J.
  • Fandiño, M.
  • Rey, B.J.
  • Martínez, E.M.

Abstract

This research aims at testing an automatic control irrigation system, using a wireless sensor network, in traditional Galician vineyards of Vitis vinifera (L.) cv. ‘Godello’ and cv. ‘Mencía’ to determine the threshold values of soil water potential at which plant stress begins, calibrating crop coefficients, building soil–water characteristics curves and measuring plant water status. In the cv. ‘Godello’ trial, rain-fed and two irrigations systems (surface and subsurface drip irrigation) were conducted over two growing seasons (2012–2013); during the same seasons cv ‘Mencía’ was also studied, but only under rain-fed conditions. The SIMDualKc model, which estimates soil water balance by means of the dual Kc approach, was used to estimate crop evapotranspiration (ETc) by calibrating the full basal crop coefficient for the vine and cover crop (Kcb full), which represents the transpiration component of ETc, and a soil evaporation coefficient (Ke). The model was calibrated and validated by comparing model simulations with TDR observed soil water content data. Granular matrix sensor (GMS) was linked in a wireless sensor network; soil water potential measured with GMS, was used to correlate with TDR data. Leaf water potentials (LWP) – midday and stem – allowed us to obtain plant water status. A good fit was obtained between SIMDualKc model and TDR (r2>0.74), TDR and LWP (r2>0.65), TDR and GMS (r2>0.81), showing that continuous measures with GMS permit establishing a threshold value related with leaf water potential (midday or stem). For both cultivars, the threshold was Ψsoil=−0.1MPa. The process applied in this study proved to be useful for managing water in real-time in a vineyard; triggering the irrigation system when the threshold value was reached.

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  • Cancela, J.J. & Fandiño, M. & Rey, B.J. & Martínez, E.M., 2015. "Automatic irrigation system based on dual crop coefficient, soil and plant water status for Vitis vinifera (cv Godello and cv Mencía)," Agricultural Water Management, Elsevier, vol. 151(C), pages 52-63.
  • Handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:52-63
    DOI: 10.1016/j.agwat.2014.10.020
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    7. Trigo-Córdoba, Emiliano & Bouzas-Cid, Yolanda & Orriols-Fernández, Ignacio & Mirás-Avalos, José Manuel, 2015. "Effects of deficit irrigation on the performance of grapevine (Vitis vinifera L.) cv. ‘Godello’ and ‘Treixadura’ in Ribeiro, NW Spain," Agricultural Water Management, Elsevier, vol. 161(C), pages 20-30.
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    10. Rallo, G. & Paço, T.A. & Paredes, P. & Puig-Sirera, À. & Massai, R. & Provenzano, G. & Pereira, L.S., 2021. "Updated single and dual crop coefficients for tree and vine fruit crops," Agricultural Water Management, Elsevier, vol. 250(C).
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    12. Zhao, Peng & Kang, Shaozhong & Li, Sien & Ding, Risheng & Tong, Ling & Du, Taisheng, 2018. "Seasonal variations in vineyard ET partitioning and dual crop coefficients correlate with canopy development and surface soil moisture," Agricultural Water Management, Elsevier, vol. 197(C), pages 19-33.
    13. Cancela, J.J. & Fandiño, M. & Rey, B.J. & Dafonte, J. & González, X.P., 2017. "Discrimination of irrigation water management effects in pergola trellis system vineyards using a vegetation and soil index," Agricultural Water Management, Elsevier, vol. 183(C), pages 70-77.
    14. Phogat, V. & Skewes, M.A. & McCarthy, M.G. & Cox, J.W. & Šimůnek, J. & Petrie, P.R., 2017. "Evaluation of crop coefficients, water productivity, and water balance components for wine grapes irrigated at different deficit levels by a sub-surface drip," Agricultural Water Management, Elsevier, vol. 180(PA), pages 22-34.
    15. 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).
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    17. Vasilenko, Alexandr & Ulman, Miloš, 2015. "Concept of Horticulture Ambient Intelligence System," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-8, December.
    18. Phogat, V. & Šimůnek, J. & Skewes, M.A. & Cox, J.W. & McCarthy, M.G., 2016. "Improving the estimation of evaporation by the FAO-56 dual crop coefficient approach under subsurface drip irrigation," Agricultural Water Management, Elsevier, vol. 178(C), pages 189-200.

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