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Scheduling regulated deficit irrigation in a hedgerow olive orchard from leaf turgor pressure related measurements

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  • Padilla-Díaz, C.M.
  • Rodriguez-Dominguez, C.M.
  • Hernandez-Santana, V.
  • Perez-Martin, A.
  • Fernández, J.E.

Abstract

Regulated deficit irrigation (RDI) has been proposed as one of the most promising irrigation strategies for hedgerow fruit orchards with high plant densities. Scheduling a RDI strategy, however, is highly demanding, since the targeted water savings must be achieved at the same time that episodes of excessive water stress are avoided when the crop is most sensitive to drought. Here we tested an approach to schedule a RDI strategy supplying 45% of the crop irrigation needs, specially designed for hedgerow olive orchards. Our approach is based on the use of a water stress indicator derived from the shape of the daily curves recorded with ZIM sensors, which are related to the leaf turgor pressure. We worked in a mature, fully productive ‘Arbequina’ olive orchard with 1667 trees ha−1, under both a daily irrigated (FI) treatment and the mentioned RDI strategy. We found that the relation between the shape of the curves and the tree water stress levels holds for olive trees of different age under a wide range of growing conditions. We were able to schedule irrigation just from the visual analysis of the curves derived from the ZIM outputs, without any further data processing. A comparison with the crop coefficient approach showed that, with our approach, we achieved greater water savings without affecting neither the trees water status nor the crop performance. Still, further studies are required to confirm whether empirical aspects of our approach are limiting and, if so, to derive suitable alternatives.

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  • Padilla-Díaz, C.M. & Rodriguez-Dominguez, C.M. & Hernandez-Santana, V. & Perez-Martin, A. & Fernández, J.E., 2016. "Scheduling regulated deficit irrigation in a hedgerow olive orchard from leaf turgor pressure related measurements," Agricultural Water Management, Elsevier, vol. 164(P1), pages 28-37.
  • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p1:p:28-37
    DOI: 10.1016/j.agwat.2015.08.002
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    1. Fernandes, R.D.M. & Egea, G. & Hernandez-Santana, V. & Diaz-Espejo, A. & Fernández, J.E. & Perez-Martin, A. & Cuevas, M.V., 2021. "Response of vegetative and fruit growth to the soil volume wetted by irrigation in a super-high-density olive orchard," Agricultural Water Management, Elsevier, vol. 258(C).
    2. Egea, Gregorio & Fernández, José E. & Alcon, Francisco, 2017. "Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards," Agricultural Water Management, Elsevier, vol. 187(C), pages 47-56.
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    5. Padilla-Díaz, C.M. & Rodriguez-Dominguez, C.M. & Hernandez-Santana, V. & Perez-Martin, A. & Fernandes, R.D.M. & Montero, A. & García, J.M. & Fernández, J.E., 2018. "Water status, gas exchange and crop performance in a super high density olive orchard under deficit irrigation scheduled from leaf turgor measurements," Agricultural Water Management, Elsevier, vol. 202(C), pages 241-252.
    6. Zare Abyaneh, Hamid & Jovzi, Mehdi & Albaji, Mohammad, 2017. "Effect of regulated deficit irrigation, partial root drying and N-fertilizer levels on sugar beet crop (Beta vulgaris L.)," Agricultural Water Management, Elsevier, vol. 194(C), pages 13-23.
    7. Egea, Gregorio & Padilla-Díaz, Carmen M. & Martinez-Guanter, Jorge & Fernández, José E. & Pérez-Ruiz, Manuel, 2017. "Assessing a crop water stress index derived from aerial thermal imaging and infrared thermometry in super-high density olive orchards," Agricultural Water Management, Elsevier, vol. 187(C), pages 210-221.
    8. García-Tejero, I.F. & Hernández, A. & Padilla-Díaz, C.M. & Diaz-Espejo, A. & Fernández, J.E, 2017. "Assessing plant water status in a hedgerow olive orchard from thermography at plant level," Agricultural Water Management, Elsevier, vol. 188(C), pages 50-60.
    9. Camoglu, Gokhan & Demirel, Kursad & Kahriman, Fatih & Akcal, Arda & Nar, Hakan & Boran, Ahmet & Eroglu, Ilker & Genc, Levent, 2021. "Discrimination of water stress in pepper using thermography and leaf turgor pressure probe techniques," Agricultural Water Management, Elsevier, vol. 254(C).
    10. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    11. Wu, Yinshan & Jiang, Jie & Zhang, Xiufeng & Zhang, Jiayi & Cao, Qiang & Tian, Yongchao & Zhu, Yan & Cao, Weixing & Liu, Xiaojun, 2023. "Combining machine learning algorithm and multi-temporal temperature indices to estimate the water status of rice," Agricultural Water Management, Elsevier, vol. 289(C).
    12. Alcaras, L. Martín Agüero & Rousseaux, M. Cecilia & Searles, Peter S., 2016. "Responses of several soil and plant indicators to post-harvest regulated deficit irrigation in olive trees and their potential for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 171(C), pages 10-20.
    13. Marino, Giulia & Pernice, Fulvio & Marra, Francesco Paolo & Caruso, Tiziano, 2016. "Validation of an online system for the continuous monitoring of tree water status for sustainable irrigation managements in olive (Olea europaea L.)," Agricultural Water Management, Elsevier, vol. 177(C), pages 298-307.

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