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Irrigation Science

, 28:143 | Cite as

Spatial extrapolation of the vine (Vitis vinifera L.) water status: a first step towards a spatial prediction model

  • C. Acevedo-OpazoEmail author
  • B. Tisseyre
  • H. Ojeda
  • S. Guillaume
Original Paper

Abstract

The goal of this study is to propose a model that allows for spatial extrapolation of the vine water status over a whole field from a single reference site. The precision of the model was tested using data of spatial plant water status from a commercial vineyard block located in the Languedoc-Roussillon region, France. Observations of plant water status were made on 49 sites (three vines per site) on a regular grid at various times in the growing seasons over two non-irrigated fields planted with Shiraz and Mourvèdre cultivars. Plant water status was determined by measuring predawn leaf water potential (PLWP). Results showed a significant within-field variability of PLWP over space and time, and the existence of significant linear relationship amongst PLWP values measured at different dates. Based on these results, a linear model of spatial extrapolation of PLWP values was proposed. This model was able to predict spatial variability of PLWP with a spatial and temporal mean error less than 0.1 MPa on Shiraz as well as on Mourvèdre. This model provides maps of spatial variability in PLWP at key phenological stages on the basis of one measurement performed on a reference site. The model calibration is, in its current state, based on a significant database of PLWP measurements. This makes unrealistic its application to commercial vineyards. However, the approach constitutes a significant step towards the spatial extrapolation of vine water status. Finally, the study mentions alternative ways to build up such models using auxiliary information such as airborne imagery, apparent soil conductivity and easily measured vine/canopy development parameters.

Keywords

Reference Site Water Restriction Plant Water Status Differential Global Position System Predawn Leaf Water Potential 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Acevedo-Opazo C, Tisseyre B, Ojeda H, Ortega-Farías S, Guillaume S (2008a) Is it possible to assess the spatial variability of vine water status? J Int Sci Vigne Vin 42:203–219Google Scholar
  2. Acevedo-Opazo C, Tisseyre B, Guillaume S, Ojeda H (2008b) The potential of high spatial resolution information to define within-vineyard zones related to vine water status. Precis Agric 9:285–302CrossRefGoogle Scholar
  3. Bramley RGV, Hamilton RP (2004) Understanding variability in wine grape production systems 1. Within-vineyard variation in yield over several vintages. Aust J Grape Wine Res 10:32–45Google Scholar
  4. Carbonneau A, Deloire A, Conztanza P (2004) Leaf water potential meaning of different modalities of measurements. J Int Sci Vigne Vin 38:15–19Google Scholar
  5. Champagnol F (1984) Eléments de physiologie végétale et de viticulture générale. Champagnol F (ed) Saint-Gely-du-Fesc, pp 351Google Scholar
  6. Choné X, Van Leeuwen C, Dubourdieu D, Gaudillère JP (2001) Stem water potential is a sensitive indicator of grapevine water status. Ann Bot 87:477–483CrossRefGoogle Scholar
  7. Dry PR, Loveys BR (1998) Factors influencing grapevine vigour and the potential for control with partial root zone drying. Aust J Grape Wine Res 4:140–148CrossRefGoogle Scholar
  8. Gaudillère JP, Van Leeuwen C, Ollat N (2002) Carbon isotope composition of sugars in grapevine, an integrated indicator of vineyard water status. J Exp Bot 53:757–763CrossRefPubMedGoogle Scholar
  9. Girona J, Mata M, del Campo J, Arbonés A, Bartra E, Marsal J (2006) The use of midday leaf water potential for scheduling deficit irrigation in vineyards. Irrig Sci 24:115–117CrossRefGoogle Scholar
  10. Guswa AJ (2005) Soil-moisture limits on plant uptake: an upscaled relationship for water-limited ecosystems. Adv Water Resour 28:543–552CrossRefGoogle Scholar
  11. Naor A, Gal Y, Bravdo B (1997) Crop load affects assimilation rate, stomata conductance, stem water potential and water relations of field-grown Sauvignon Blanc grapevines. J Exp Bot 314:1675–1680Google Scholar
  12. Naor A, Hupert TH, Greenblat Y, Peres M, Kaufman A, Klein I (2001) The response of nectarine fruit size and midday stem water potential to irrigation level in stage III and crop load. J Am Soc Hortic Sci 126:140–143Google Scholar
  13. Ojeda H, Kraeva E, Deloire A, Carbonneau A, Andary C (2002) Influence of pre and post-veraison water deficits on synthesis and concentration of skins phenolic compounds during the berry growth of Shiraz grapes (Vitis vinifera L.). Am J Enol Vitic 53:261–267Google Scholar
  14. Ojeda H, Deloire A, Wang Z, Carbonneau A (2004) Determinación y Control del Estado Hídrico de la Vid. Efectos Morfológicos y Fisiológicos de la Restricción Hídrica en Vides. Viticultura/Enología Profesional 90:27–43Google Scholar
  15. Ojeda H, Carrillo N, Deis L, Tisseyre B, Heywang M, Carbonneau A (2005a) Precision viticulture and water status. II: quantitative and qualitative performance of different within-field zones, defined from water potential mapping. In: Shultz HR (ed) Proceedings of 14th GESCO congress. Geisenheim, Germany: Groupe d’Etudes des Systèmes de Conduite de la Vigne, pp 741–748Google Scholar
  16. Ojeda H, Lebon E, Deis L, Vita F, Carbonneau A (2005b) Stomatal regulation of Mediterranean grapevine cultivars in drought situations of the southern of France. In: Shultz HR (ed) Proceedings of 14th GESCO congress. Geisenheim, Germany: Groupe d’Etudes des Systèmes de Conduite de la Vigne, pp 581–587Google Scholar
  17. Olivo N, Girona J, Marsal J (2009) Seasonal sensitivity of stem water potential to vapour pressure deficit in grapevine. Irrig Sci 27:175–182CrossRefGoogle Scholar
  18. Ortega R, Esser A, Santibañes O (2003) Spatial variability of wine grape yield and quality in Chilean vineyards: economic and environmental impacts. Proceedings of the 4th European conference on precision agriculture, Berlin, Germany, pp 499–506Google Scholar
  19. Riou Ch, Becker N, Sotes Ruiz V, Gomez-Miguel V, Carbonneau A, Panagiotou M, Calo A, Costacurta A, Castro de R, Pinto A, Lopes C, Carneiro L, Climaco P (1994) Le déterminisme climatique de la maturation du raisin: application au zonage de la teneur en sucre dans la communauté Européenne. Office des Publications Officielles des Communautés Européennes. Luxembourg, pp 322Google Scholar
  20. Saporta G (1990) Probabilités, Analyse des données et Statistique, vol xxvi. Technip, Paris, 493 p, ISBN 2-7108-0565-0Google Scholar
  21. Scholander PF, Hammel HT, Brandstreet ET, Hemmingsen EA (1965) Sap pressure in vascular plants. Science 148:339–346CrossRefPubMedGoogle Scholar
  22. Schultz HR (1996) Water relations and photosynthetic responses of two grapevine cultivars of different geographical origin during water stress. Acta Hort 427:251–266Google Scholar
  23. Schultz HR (2003) Differences in hydraulic architecture account for near-isohydric and anisohydric behaviour of two field-grown Vitis vinifera L. cultivars during drought. Plant Cell Environ 26:1393–1405CrossRefGoogle Scholar
  24. Seguin G (1983) Influence des terroirs viticoles sur la constitution de la qualité des vendanges. Bulletin de L’OIV 56:3–18Google Scholar
  25. Sibille I, Ojeda H, Prieto J, Maldonado S, Lacapere J-N (2005) Determinación de la relación entre las tres aplicaciones de la cámara de presión (potenciales hídricos) y evaluación de la respuesta en el comportamiento isohídrico y anhisohídrico de cuatro cepajes. Congreso Latinoamericano de Viticultura y Enología. Asociación Brasilera de Enología y EMBRAPA. Bentos Gonçalves, 07 a 11 de noviembreGoogle Scholar
  26. Sibille I, Ojeda H, Prieto J, Maldonado S, Lacapere J-N, Carbonneau A (2007) Relation between the values of three pressure chamber modalities (midday leaf, midday stem and predawn water potential) of 4 grapevine cultivars in drought situation of the southern of France. Applications for the irrigation control. Proceedings of the XVth GESCO conference. Porec, Croatia, pp 685–695Google Scholar
  27. Taylor J, Tisseyre B, Bramley R, Reid A (2005) A comparison of the spatial variability of vineyard yield in European and Australian production systems. Proceedings of the 5th European conference on precision agriculture, pp 907–915Google Scholar
  28. Tisseyre B, Ojeda H, Carrillo N, Deis L, Heywang M (2005) Precision viticulture and water status, mapping the predawn water potential to define within-vineyard zones. In: Shultz HR (Ed) Proceedings of 14th GESCO congress. Geisenheim, Germany: Groupe d’Etudes des Systèmes de Conduite de la Vigne, pp 23–27Google Scholar
  29. Tonietto J, Carbonneau A (2004) A multicriteria climatic classification system for grape-growing regions worldwide. Agric For Meteorol 124:81–97CrossRefGoogle Scholar
  30. Van Leeuwen C, Seguin G (1994) Incidences de l’alimentation en eau de la vigne, appréciée par l’état hydrique du feuillage, sur le développement de l’appareil végétatif et la maturation du raisin (Vitis vinifera variété Cabernet franc, Saint-Emilion, 1990). J Int Sci Vigne Vin 28:81–110Google Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • C. Acevedo-Opazo
    • 1
    Email author
  • B. Tisseyre
    • 2
  • H. Ojeda
    • 3
  • S. Guillaume
    • 4
  1. 1.Universidad de Talca, Facultad de Ciencias Agrarias, CITRATalcaChile
  2. 2.Montpellier SupAgroUMR ITAPMontpellier Cedex 1France
  3. 3.INRA, Experimental Station of Pech RougeGruissanFrance
  4. 4.Cemagref, UMR ITAPMontpellierFrance

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