Journal
NEW PHYTOLOGIST
Volume 229, Issue 4, Pages 1955-1969Publisher
WILEY
DOI: 10.1111/nph.17025
Keywords
grapevine; hydraulic plasticity; hydraulic vulnerability; pit membrane; seasonality; stomatal regulation; turgor loss point; Vitis vinifera; xylem
Categories
Funding
- German Research Foundation [383393940, 410768178]
- Ministry of Science and Technology, Israel [6-6802]
- Israeli Wine Grape Council
- Ministry of Agriculture and Rural Development, Israel [31-01-0013]
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The study found that grapevines are able to modify their hydraulic traits over the growing season to achieve lower xylem water potential without compromising gas exchange, leaf turgor, or xylem integrity. Seasonal changes should be taken into account when modeling ecosystem vulnerability to drought or comparing datasets obtained at different phenological stages.
Although xylem embolism resistance is traditionally considered as static, we hypothesized that in grapevine (Vitis vinifera) leaf xylem becomes more embolism-resistant over the growing season. We evaluated xylem architecture, turgor loss point (psi(TLP)) and water potentials leading to 25% of maximal stomatal conductance (g(s25)) or 50% embolism in the leaf xylem (P-50) in three irrigation treatments and at three time points during the growing season, while separating the effects of leaf age and time of season. Hydraulic traits acclimated over the growing season in a coordinated manner. Without irrigation, psi(TLP), g(s25), and P-50 decreased between late May and late August by 0.95, 0.77 and 0.71 MPa, respectively. A seasonal shift in P-50 occurred even in mature leaves, while irrigation had only a mild effect (< 0.2 MPa) on P-50. Vessel size and pit membrane thickness were also seasonally dynamic, providing a plausible explanation for the shift in P-50. Our findings provide clear evidence that grapevines can modify their hydraulic traits along a growing season to allow lower xylem water potential, without compromising gas exchange, leaf turgor or xylem integrity. Seasonal changes should be considered when modeling ecosystem vulnerability to drought or comparing datasets acquired at different phenological stages.
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