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Influence of different cultivars–locations on maximum daily shrinkage indicators: Limits to the reference baseline approach

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  • Pérez-López, D.
  • Pérez-Rodríguez, J.M.
  • Moreno, M.M.
  • Prieto, M.H.
  • Ramírez-Santa-Pau, M.
  • Gijón, M.C.
  • Guerrero, J.
  • Moriana, A.

Abstract

The use of biosensors for irrigation scheduling is an interesting way to improve water use efficiency. Trunk diameter variations (TDV) have been studied in several species as a biosensor capable of detecting water stress. The most frequently used parameter for this purpose from TDV is maximum daily shrinkage (MDS). In the present study, MDS was studied in olive trees in two locations in Spain (Badajoz and Ciudad Real), with different cultivars in each one (‘Morisca’ in Badajoz and ‘Cornicabra’ in Ciudad Real), for three years in one location and four years in the other. In order to establish a reference baseline for both locations the relationship between vapour pressure deficit (VPD) and MDS was calculated. Four irrigation treatments were used: one control, irrigated by the FAO method, two in relation to stem water potential threshold and one based on both the trunk growth and MDS from linear variable differential transducers (LVDT). Heteroscedasticity was found in MDS data, so the transformation of the square root (SQR) of the data was necessary be done. The reference baseline with SQR of MDS vs VPD was significantly different between varieties/locations. A local calculation is thus needed to obtain an accurate reference baseline. The relationship between SQR of MDS vs stem water potential (SWP) showed a lineal fit with values higher than −1.8MPa. In order to ensure that the relationship between SWP and MDS is not due to their relation to VPD, SWP and MDS were divided by their theoretical values in function of VPD. It was observed that the response of MDS to water stress is much weaker than SWP and in this range of SWP (higher of −1.8MPa) variations of MDS are only due to VPD. The number of sensors necessary for precise measurement of MDS was, on average, more than thirty.

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  • Pérez-López, D. & Pérez-Rodríguez, J.M. & Moreno, M.M. & Prieto, M.H. & Ramírez-Santa-Pau, M. & Gijón, M.C. & Guerrero, J. & Moriana, A., 2013. "Influence of different cultivars–locations on maximum daily shrinkage indicators: Limits to the reference baseline approach," Agricultural Water Management, Elsevier, vol. 127(C), pages 31-39.
    • Handle: RePEc:eee:agiwat:v:127:y:2013:i:c:p:31-39
    DOI: 10.1016/j.agwat.2013.05.016
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    4. Conejero, W. & Ortuño, M.F. & Mellisho, C.D. & Torrecillas, A., 2010. "Influence of crop load on maximum daily trunk shrinkage reference equations for irrigation scheduling of early maturing peach trees," Agricultural Water Management, Elsevier, vol. 97(2), pages 333-338, February.
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    13. 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.
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    1. Corell, M. & Girón, I.F. & Galindo, A. & Torrecillas, A. & Torres-Sánchez, R. & Pérez-Pastor, A. & Moreno, F. & Moriana, A., 2014. "Using band dendrometers in irrigation scheduling," Agricultural Water Management, Elsevier, vol. 142(C), pages 29-37.
    2. 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.
    3. Girón, I.F. & Corell, M. & Martín-Palomo, M.J. & Galindo, A. & Torrecillas, A. & Moreno, F. & Moriana, A., 2016. "Limitations and usefulness of maximum daily shrinkage (MDS) and trunk growth rate (TGR) indicators in the irrigation scheduling of table olive trees," Agricultural Water Management, Elsevier, vol. 164(P1), pages 38-45.

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