Structural memory in grapevines: Early season water availability affects late season drought stress severity

Netzer, Yishai; Munitz, Sarel; Shtein, Ilana; Schwartz, Amnon

doi:10.1016/j.eja.2019.02.008

Cited by 39 publications

(43 citation statements)

References 53 publications

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“…These observations would support the hypothesis that SY could be more vulnerable to embolism when exposed to water limitation [51], whereas CS could be anatomically pre-adapted to water stress, exhibiting constitutively smaller conduits. These findings are consistent with reports by Netzer et al [49] and Munitz et al [48], which described cambial activity, conduit diameter and hydraulic conductance in response to limited water availability. On the other hand, SY showed increased K ts in both WW and WS at the end of the experiment.…”

Section: Water Status and Petiole Anatomysupporting

confidence: 93%

“…According to the literature [48,49], a close relationship between xylem architecture and response to water stress has been proposed, although other factors could also play significant roles. In grapevine, a strong correlation was demonstrated between stem diameter, xylem conduit diameter and hydraulic properties by comparing young shoots and mature trunks [50].…”

Section: Water Status and Petiole Anatomymentioning

confidence: 99%

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Analysis of Non-Structural Carbohydrates and Xylem Anatomy of Leaf Petioles Offers New Insights in the Drought Response of Two Grapevine Cultivars

Falchi

Petrussa

Braidot

et al. 2020

IJMS

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In grapevine, the anatomy of xylem conduits and the non-structural carbohydrates (NSCs) content of the associated living parenchyma are expected to influence water transport under water limitation. In fact, both NSC and xylem features play a role in plant recovery from drought stress. We evaluated these traits in petioles of Cabernet Sauvignon (CS) and Syrah (SY) cultivars during water stress (WS) and recovery. In CS, the stress response was associated to NSC consumption, supporting the hypothesis that starch mobilization is related to an increased supply of maltose and sucrose, putatively involved in drought stress responses at the xylem level. In contrast, in SY, the WS-induced increase in the latter soluble NSCs was maintained even 2 days after re-watering, suggesting a different pattern of utilization of NSC resources. Interestingly, the anatomical analysis revealed that conduits are constitutively wider in SY in well-watered (WW) plants, and that water stress led to the production of narrower conduits only in this cultivar.

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Section: Water Status and Petiole Anatomysupporting

confidence: 93%

Section: Water Status and Petiole Anatomymentioning

confidence: 99%

Analysis of Non-Structural Carbohydrates and Xylem Anatomy of Leaf Petioles Offers New Insights in the Drought Response of Two Grapevine Cultivars

Falchi

Petrussa

Braidot

et al. 2020

IJMS

View full text Add to dashboard Cite

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“…The RDI method introduces alternation of water stress coefficients along the course of the irrigation period, imposing differential drought stress levels at certain periods along the growing season (Girona et al , Intrigliolo and Castel , Romero et al , Santesteban et al , Fernandes‐Silva et al ). The theory behind the RDI method is that vines respond differently to drought stress conditions at various stages of berry development (Hardie and Considine , Keller et al , Girona et al , Romero et al , Munitz et al , Netzer et al ). Inducing the precise drought stress level at the appropriate phenological stage allows the achievement of balanced vegetative growth, reduced berry size and only a moderate yield loss (Keller et al , Chaves et al , Romero et al , Fernandes‐Silva et al , Netzer et al ).…”

Section: Introductionmentioning

confidence: 99%

Effect of timing of irrigation initiation on vegetative growth, physiology and yield parameters in Cabernet Sauvignon grapevines

Munitz

Schwartz

Netzer

2020

Australian Journal of Grape and Wine Research

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Background and Aims: The effect of the timing of the initiation of irrigation during the growing season on Vitis vinifera L. Cabernet Sauvignon vines was investigated during 5 successive years. Methods and Results: Five irrigation initiation thresholds based on measurement of midday stem water potential (Ψ s) were examined: at Budburst, −0.6 MPa, −0.8 MPa, −1.0 MPa and − 1.2 MPa. Midday Ψ s , gas exchange parameters [stomatal conductance (g s) and net assimilation rate (A n)] and leaf area index (LAI) were measured weekly. At harvest, 12 vines per replicate (48 per treatment) were separately harvested, the yield was determined and the number of bunches per vine recorded. During the winter period, the number of shoots per vine and the pruning mass of 12 vines per replicate were recorded separately. Vines in the early irrigation treatments (Budburst, −0.6 MPa) displayed improved Ψ s , g s and A n , accompanied by vigorous vegetative growth and high yield. The increased yield was derived from enlarged berry size and an increased number of bunches. In contrast, vines in the late irrigation treatments (−1.0 MPa, −1.2 MPa) exhibited low Ψ s , g s and A n values combined with depressed vegetative growth and reduced yield. The depression effect on late irrigation vines was cumulative and became more pronounced as trial years advanced. Our results emphasise the crucial role of water availability during springtime (vegetative growth period) on vine development, physiological performance and yield parameters. Conclusions: Early irrigation initiation during spring, in which most vegetative growth processes occur, resulted in the enhancement of all vegetative and physiological parameters. Postponing irrigation initiation, however, until advanced stages of the growing season was followed by diminished vegetative growth, reduced physiological performance and decreased yield. Significance of the Study: Our results provide insights into the effect of the timing of irrigation initiation on vegetative growth, physiological parameters and yield components in field-grown Cabernet Sauvignon grapevines.

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“…During 2018, the total water input to the vineyard was the lowest, resulting in overall lower ET levels in both MZs, as well as a low difference (~0.2 mmday −1 ). A possible explanation could be that higher levels of water availability in the vineyard during the early stages of the season cause a developed and more efficient system of hydraulic conductivity in the grapevines, which in turn become severely stressed towards the end of the growing season [116]. The performance of the RF models for the three components was satisfying (Table 3) and the results of these models (Figure 7) defined the soil type as the most influential static variable affecting ET clustering for the trend and seasonality components.…”

Section: Discussionmentioning

confidence: 99%

Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard

et al. 2020

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A well-planned irrigation management strategy is crucial for successful wine grape production and is highly dependent on accurate assessments of water stress. Precision irrigation practices may benefit from the quantification of within-field spatial variability and temporal patterns of evapotranspiration (ET). A spatiotemporal modeling framework is proposed to delineate the vineyard into homogeneous areas (i.e., management zones) according to their ET patterns. The dataset for this study relied on ET retrievals from multiple satellite platforms, generating estimates at high spatial (30 m) and temporal (daily) resolutions for a Vitis vinifera Pinot noir vineyard in the Central Valley of California during the growing seasons of 2015-2018. Time-series decomposition was used to deconstruct the time series of each pixel into three components: long-term trend, seasonality, and remainder, which indicates daily fluctuations. For each time-series component, a time-series clustering (TSC) algorithm was applied to partition the time series of all pixels into homogeneous groups and generate TSC maps. The TSC maps were compared for spatial similarities using the V-measure statistic. A random forest (RF) classification algorithm was used for each TSC map against six environmental variables (elevation, slope, northness, lithology, topographic wetness index, and soil type) to check for spatial association between ET-TSC maps and the local characteristics in the vineyard. Finally, the TSC maps were used as independent variables against yield (ton ha-1) using analysis of variance (ANOVA) to assess whether the TSC maps explained yield variability. The trend and seasonality TSC maps had a moderate spatial association (V = 0.49), while the remainder showed dissimilar spatial patterns to seasonality and trend. The RF model showed high error matrix-based prediction accuracy levels ranging between 86% and 90%. For the trend and seasonality models, the most important predictor was soil type, followed by elevation, while the remainder TSC was strongly linked with northness spatial variability. The yield levels corresponding to the two clusters in all TSC were significantly different. These findings enabled spatial quantification of ET time series at different temporal scales that may benefit within-season decision-making regarding the amounts, timing, intervals, and location of irrigation. The proposed framework may be applicable to other cases in both agricultural systems and environmental modeling.

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Structural memory in grapevines: Early season water availability affects late season drought stress severity

Cited by 39 publications

References 53 publications

Analysis of Non-Structural Carbohydrates and Xylem Anatomy of Leaf Petioles Offers New Insights in the Drought Response of Two Grapevine Cultivars

Analysis of Non-Structural Carbohydrates and Xylem Anatomy of Leaf Petioles Offers New Insights in the Drought Response of Two Grapevine Cultivars

Effect of timing of irrigation initiation on vegetative growth, physiology and yield parameters in Cabernet Sauvignon grapevines

Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard

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