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Concomitant measurements of stem sap flow and leaf turgor pressure in olive trees using the leaf patch clamp pressure probe

Author

Listed:
  • Rodriguez-Dominguez, C.M.
  • Ehrenberger, W.
  • Sann, C.
  • Rüger, S.
  • Sukhorukov, V.
  • Martín-Palomo, M.J.
  • Diaz-Espejo, A.
  • Cuevas, M.V.
  • Torres-Ruiz, J.M.
  • Perez-Martin, A.
  • Zimmermann, U.
  • Fernández, J.E.

Abstract

Stem sap flow (Q) and leaf turgor pressure (Pc) were measured simultaneously on 4-year-old, 2.4m tall ‘Arbequina’ olive trees in a hedgerow orchard. Measurements were performed on well-watered control trees as well as on 60RDI and 30RDI trees (RDI=regulated deficit irrigation). The 60RDI trees received 59.2% of the crop water needs (ETc), and the 30RDI trees received 29.4% of ETc. Pc was determined non-invasively using the magnetic leaf patch clamp pressure probe (ZIM probe). The patch pressure Pp measured by the probe is inversely correlated with turgor pressure at Pc>ca. 50kPa. Pc is coupled with xylem pressure; thus Pp yields information about the development of tension in xylem. In the case of the control trees a positive correlation between Q and Pp was generally found, i.e. Q increased usually with increasing Pp and decreased with decreasing Pp, as expected. However, Q peaking did not always coincided with Pp peaking at noon. Occasionally, Q peaking preceded or followed Pp peaking with a time difference of up to 3h in both cases. Under some circumstances, the onset of Q after sunrise was greatly delayed, even though a pronounced increase of Pp was observed. A delayed onset of Q after sunrise resulted in hysteresis phenomena, i.e. the linear increase of Q and Pp in the morning hours did not coincide with the corresponding decrease of Q and Pp in the afternoon. The development of severe water stress (Pc

Suggested Citation

  • Rodriguez-Dominguez, C.M. & Ehrenberger, W. & Sann, C. & Rüger, S. & Sukhorukov, V. & Martín-Palomo, M.J. & Diaz-Espejo, A. & Cuevas, M.V. & Torres-Ruiz, J.M. & Perez-Martin, A. & Zimmermann, U. & Fer, 2012. "Concomitant measurements of stem sap flow and leaf turgor pressure in olive trees using the leaf patch clamp pressure probe," Agricultural Water Management, Elsevier, vol. 114(C), pages 50-58.
    • Handle: RePEc:eee:agiwat:v:114:y:2012:i:c:p:50-58
    DOI: 10.1016/j.agwat.2012.07.007
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    1. Ben-Gal, Alon & Kool, Dilia & Agam, Nurit & van Halsema, Gerardo E. & Yermiyahu, Uri & Yafe, Ariel & Presnov, Eugene & Erel, Ran & Majdop, Ahmed & Zipori, Isaac & Segal, Eran & Rüger, Simon & Zimmerma, 2010. "Whole-tree water balance and indicators for short-term drought stress in non-bearing 'Barnea' olives," Agricultural Water Management, Elsevier, vol. 98(1), pages 124-133, December.
    2. Fernández, J.E. & Rodriguez-Dominguez, C.M. & Perez-Martin, A. & Zimmermann, U. & Rüger, S. & Martín-Palomo, M.J. & Torres-Ruiz, J.M. & Cuevas, M.V. & Sann, C. & Ehrenberger, W. & Diaz-Espejo, A., 2011. "Online-monitoring of tree water stress in a hedgerow olive orchard using the leaf patch clamp pressure probe," Agricultural Water Management, Elsevier, vol. 100(1), pages 25-35.
    3. Fernandez, J. E. & Palomo, M. J. & Diaz-Espejo, A. & Clothier, B. E. & Green, S. R. & Giron, I. F. & Moreno, F., 2001. "Heat-pulse measurements of sap flow in olives for automating irrigation: tests, root flow and diagnostics of water stress," Agricultural Water Management, Elsevier, vol. 51(2), pages 99-123, October.
    4. Kijne, J. W. & Barker, R. & Molden. D., 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, Reports H032631, International Water Management Institute.
    5. Ortuño, M.F. & Conejero, W. & Moreno, F. & Moriana, A. & Intrigliolo, D.S. & Biel, C. & Mellisho, C.D. & Pérez-Pastor, A. & Domingo, R. & Ruiz-Sánchez, M.C. & Casadesus, J. & Bonany, J. & Torrecillas,, 2010. "Could trunk diameter sensors be used in woody crops for irrigation scheduling? A review of current knowledge and future perspectives," Agricultural Water Management, Elsevier, vol. 97(1), pages 1-11, January.
    6. Kijne, Jacob W. & Barker, Randolph & Molden, David J. (ed.), 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, International Water Management Institute, number 138054.
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    1. Chehab, Hechmi & Tekaya, Mariem & Mechri, Beligh & Jemai, Abdelmajid & Guiaa, Mohamed & Mahjoub, Zoubeir & Boujnah, Dalenda & Laamari, Salwa & Chihaoui, Badreddine & Zakhama, Houda & Hammami, Mohamed , 2017. "Effect of the Super Absorbent Polymer Stockosorb® on leaf turgor pressure, tree performance and oil quality of olive trees cv. Chemlali grown under field conditions in an arid region of Tunisia," Agricultural Water Management, Elsevier, vol. 192(C), pages 221-231.
    2. 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).
    3. 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).
    4. 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.
    5. 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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