scholarly journals Spatial Variability of Soil and Plant Water Status and Their Cascading Effects on Grapevine Physiology Are Linked to Berry and Wine Chemistry

2020 ◽  
Vol 11 ◽  
Author(s):  
Runze Yu ◽  
Luca Brillante ◽  
Johann Martínez-Lüscher ◽  
Sahap Kaan Kurtural
Keyword(s):  
Spatial Variability ◽  
Water Status ◽  
Plant Water Status ◽  
Plant Water ◽  
Cascading Effects

Assessing Spatial Variability of Grape Skin Flavonoids at the Vineyard Scale Based on Plant Water Status Mapping

2017 ◽  
Vol 65 (26) ◽  
pp. 5255-5265 ◽  
Author(s):  
Luca Brillante ◽  
Johann Martínez-Luscher ◽  
Runze Yu ◽  
Cassandra M. Plank ◽  
Luis Sanchez ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Water Status ◽  
Plant Water Status ◽  
Plant Water ◽  
Grape Skin

Proximal sensing of vineyard soil and canopy vegetation for determining vineyard spatial variability in plant physiology and berry chemistry

OENO One ◽  
2021 ◽  
Vol 55 (2) ◽  
pp. 315-333
Author(s):  
Runze Yu ◽  
Luca Brillante ◽  
Nazareth Torres ◽  
Sahap Kaan Kurtural
Keyword(s):  
Plant Physiology ◽  
Spatial Variability ◽  
Spatial Pattern ◽  
Water Status ◽  
Plant Water Status ◽  
Primary Metabolism ◽  
Plant Water ◽  
Stem Water Potential ◽  
Proximal Sensing ◽  
Commercial Vineyard

Proximal sensing is used in vineyards to precisely monitor and manage spatial and temporal variability while reducing laborious and repetitive measurements. Soil electrical conductivity (EC) and canopy vegetation indexes are two frequently assessed variables with off-the-shelf sensors. In this study, the ecophysiological variability of a commercial vineyard comprising three varieties in three blocks, Cabernet-Sauvignon (CS), Cabernet franc (CF), and Petit Verdot (PV), was investigated. Random sampling was used to continuously assess spatial variability in plant physiology and berry composition. Soil EC and NDVI were also continuously monitored throughout the season. There was a noticeable spatial pattern in the normalised differential vegetation index (NDVI) in the vineyard and soil EC. The spatial pattern of NDVI can be partially elucidated by the season-long stem water potential (Ψstem), which was lowest in the CS block. However, leaf photosynthesis did not match this spatial pattern. The spatial distribution of NDVI and soil EC did not satisfactorily explain the spatial variations in yield components and berry chemistry. Principal component analyses (PCA) were performed resulting in a clear discrimination of each of the three cultivars. Soil EC showed a significant relationship with Ψstem integrals, total skin anthocyanins and tri- to di-hydroxylated flavonoids. In each cultivar block, soil EC showed some capability to be related to plant water status, and NDVI showed a relationship with yield. Overall, this study provided evidence of the spatial variability of grapevine physiology in a commercial vineyard with three cultivars. Also, it showed that the cultivar effect and uniform crop level management can diminish the efficiency of proximal sensing, thus weakening the relationship of soil and canopy indexes with plant physiology and berry chemistry. Nonetheless, our study showed that it is possible to apply temporal proximal sensing methods when assessing plant water status, primary metabolism, yield and berry secondary metabolism, which give an indication of the possibility of managing the spatial variability of both plant physiology and berry chemistry.

Is it possible to assess the spatial variability of vine water status?

OENO One ◽  
2008 ◽  
Vol 42 (4) ◽  
pp. 203 ◽  
Author(s):  
César Acevedo-Opazo ◽  
Bruno Tisseyre ◽  
Hernán Ojeda ◽  
Samuel Ortega-Farias ◽  
Serge Guillaume
Keyword(s):  
Spatial Variability ◽  
Water Status ◽  
Auxiliary Information ◽  
Growth Cycle ◽  
Plant Water Status ◽  
Plant Water ◽  
Conceptual Approach ◽  
Direct Measurements ◽  
Local Reference ◽  
Status Assessment

<p style="text-align: justify;"><strong>Aims</strong>: Plant water status monitoring during the vineyard growth cycle constitutes a basic parameter for both harvest quality and vineyard management. Unfortunately, the plant water status measurement requires skills and heavy devices which drastically limit the number of repetitions either in space or in time. Moreover, due to the significant spatial variability in viticulture, extrapolation of one local measurement to a larger scale, vine field or vineyard, is difficult. Therefore, the design of tools and methods to characterize and to assess the spatial variability of plant water status constitutes a big challenge. The aim of this paper is to propose an approach allowing the spatial variability of the plant water status to be assessed.</p><p style="text-align: justify;"><strong>Methods and results</strong>: This work proposes a complete literature review of previous works using different approaches to assess the vine water status. Based on this review, it leads to a conceptual approach considering the Spatial (S) and Temporal (T) variability of the plant water status assessment at a whole vineyard scale. This paper is divided into three sections: (i) description of plant water status reference methods based on direct measurements on the plant, (ii) plant water status assessment methods based on auxiliary information (i.e. weather, soil and plant vegetative expression), and finally (iii) a proposal for combining local reference measurement and auxiliary information to characterize the spatial variability of the vine water status at the vineyard scale.</p><p style="text-align: justify;"><strong>Conclusion</strong>: Taking into account restrictive assumptions, this paper points out the possibility to provide relevant spatial assessment of the vine water status. This possibility is illustrated with a simple example.</p><p style="text-align: justify;"><strong>Significance and impact of the results</strong>: This work gives an answer to the significant problem of vine water status assessment over space. It proposes an approach based on high spatial resolution auxiliary information to extrapolate a measurement (PLWP or SWP) made at a given time on a reference site. This proposal determines the different steps for further investigations aiming at proposing a spatial model of vine water status.</p>

The Method of Plant Water Status Measurement in Sweet Potato (Ipomoea Batatas (L) Lam.)

2010 ◽  
Vol 7 (1) ◽  
Author(s):  
Saraswati Prabawardani
Keyword(s):  
Water Content ◽  
Sweet Potato ◽  
Relative Water Content ◽  
Water Status ◽  
Plant Water Status ◽  
Equilibration Time ◽  
Plant Water ◽  
Font Size ◽  
Potato Leaf ◽  
Relative Water

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Plant Water Status in Relation to Clouds 1

1973 ◽  
Vol 65 (4) ◽  
pp. 677-678 ◽  
Author(s):  
J. R. Stansell ◽  
Betty Klepper ◽  
V. Douglas Browning ◽  
H. M. Taylor
Keyword(s):  
Water Status ◽  
Plant Water Status ◽  
Plant Water

Visual estimation of plant water status in cereals

1979 ◽  
Vol 92 (1) ◽  
pp. 83-89 ◽  
Author(s):  
H. G. Jones
Keyword(s):  
Spring Wheat ◽  
Water Status ◽  
Plant Morphology ◽  
Leaf Water ◽  
Plant Water Status ◽  
Plant Water ◽  
Visual Estimation ◽  
Leaf Water Status ◽  
Visual Scoring ◽  
Breeding Programmes

SummaryThe potential offered for plant breeding programmes by visual scoring techniques for plant water status was investigated in rice and spring wheat. It was found that differing plant morphology could seriously bias visual estimates of leaf water potential, particularly in spring wheat. In spite of this problem, it was found that at least for rice, this type of approach may have potential in future breeding programmes where an estimate of leaf water status is required, such as those for drought tolerance, so long as a high intensity of selection is not necessary.

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