Spatio-temporal visualisation and quantification of grapevine water absorption in Hillslope vineyards
Abstract
Hillslope vineyards show complex water dynamics between soil and plants. To gain further insight of this relationship, 8 grapevine plots were monitored during two vintages (2011-2013), on Corton Hill, Burgundy, France. Grapevine water status was monitored weekly by surveying water potential, and at harvest, using δ 13C analysis of grape juice. Soil volumetric humidity was also measured weekly, using TDR probes. A pedotransfer function was developed to transform Electrical Resistivity Tomography (ERT) into Soil Volume Water and therefore to spatialise and describe variations in space and time in the Fraction of Transpirable Soil Water (FTSW). During the two years of monitoring, grapevines experienced great variation in water status, which ranged from low to substantial water deficit. With this freshly developed method , it was possible to observe differences in water absorption pattern by roots, in different soils, and at different depth. Great heterogeneity was observed, both laterally and vertically in grapevine water absorption. The contribution of each soil region to plant water status varies according to grapevine water status. It is different between day and night and depends from soil characteristics. It is to our knowledge the first time that water absorption by grapevine is revealed in space (2D) and time, and has therefore allowed a deeper comprehension of plant and soil dynamics in grapevine.
Issue: GiESCO 2015
Type: Extended abstract
Authors
1 Center for Agricultural Research and Economics, Viticulture Research Center (CRA-VIT), Viale XXVIII Aprile 26, 31015-Conegliano (TV) Italy
2 UMR CNRS/uB 6282 Biogéosciences, Université de Bourgogne, 6 Boulevard Gabriel, F-21000 Dijon, France
3 Bordeaux Sciences Agro, ISVV, Ecophysiology and Functional Genomics of Grapevines, UMR 1287, Université de Bordeaux, Villenave d’Ornon, 33140, France
4 Institut Universitaire de la Vigne et du Vin “Jules Guyot”, Rue Claude Laudrey, BP 27877, F-21078 Dijon, France
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Keywords
Vitis vinifera, roots, Electrical Resistivity Tomography, plant and soil water relations, machine-learning