Terroir 2020 banner
IVES 9 IVES Conference Series 9 Soil variability effects on vine rootzones and available water

Soil variability effects on vine rootzones and available water

Abstract

Aim: The aim of this work is educating people about soil variability, vine rootzone depth and readily available water holding capacity. The concept of terroir is readily discussed in the wine industry but many people involved are unable to describe a soil profile and interpret its limitations that impact on vine growth, fruit quality and wine produced. This paper discusses soil physical characteristics important to vine root growth and readily available water holding capacity (RAW).

Background and Results: Identification of the soil texture, structure and coarse fragment content is required to determine a vine rootzone depth and readily available water holding capacity (RAW).  Vine rootzone depths are dependent on soil texture and structure. For example vine roots will penetrate 50 cm into a friable sub-angular or angular blocky clay, but only 30 cm into prismatic, columnar or lenticular clay.  Vine rootzone depths are used to calculate the RAW value (mm) of the soil profile and consequently irrigation management units and design.  Water retention curve data used to calculate RAW values uses the relationship between water content and matric potential (Childs, 1940), which is dependent on soil texture and structure (Hillel, 1982). The predicted rootzone depth and RAW values will therefore be dependent on the changes in a landscape which is part of the concept of terroir.

Three examples of soil profile characteristics from a 40 ha property located on the Fleurieu Peninsula of South Australia are presented:

  • Soil 1 is a yellow Sodosol (Isbell, 1996) with deep sand over massive sandy clay.  The predicted rootzone depth is 70 cm and the RAW value 36 mm.  Vine roots are limited by the massive yellow sandy clay at 40 cm;
  • Soil 2 is a red Chromosol (Isbell, 1996) with shallow sandy clay loam topsoil over friable angular blocky clay and clay soil carbonate in the lower subsoil.  The predicted rootzone depth is 60 cm and the RAW value 36 mm.  Vine roots will colonise 50 cm of the friable clay and will penetrate the soil carbonate in the lower subsoil;
  • Soil 3 is a Calcarosol (Isbell, 1996) with sandy clay loam and 50% calcareous rock fragments to 50 cm, below which is un-weathered calcareous shale rock.  The predicted rootzone depth is restricted by the calcareous rock and the high percentage of coarse fragments reduces the RAW value to 18 mm. 

Conclusions: 

The volume of soil utilised by vine roots and the RAW value are governed by soil physical properties which change with position in the landscape, the concept of terroir.  

Significance and Impact of the Study: Soil profile characterisation is essential to all forms of agriculture and horticulture.  Understanding how soil variability impacts on vine root growth, fruit quality and wine production is the essence of terroir.

DOI:

Publication date: March 17, 2021

Issue: Terroir 2020

Type: Video

Authors

Geoff Kew1*

1Kew Wetherby Soil Survey Pty Ltd, Second Valley, South Australia, Australia, 5204

Contact the author

Keywords

Soil monolith, soil variability, soil profile description, soil horizon, field hand texture, soil structure

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

Effects of a new vacuum evaporation method on chemical and sensory properties of must and wine

A new process for vacuum evaporation was developed where evaporation takes place near the inner surface of a vortex produced by a rotor submerged in the liquid. Contrary to the state of the art the Vortex rotor process does not need a vacuum vessel but the rotating liquid creates a geometrically stable low pressure void surrounded by a vortex stabilized by the equilibrium between centrifugal forces and the pressure difference. First tests with water and sugar solutions at concentrations similar to grape must were conducted to verify the theoretical predictions, test the performance under different conditions and study the effect of various process parameters (Rösti et al 2015).

Characterization of the adaptive mechanisms of grapevine rootstocks to iron deficiency induced by lime stress

Iron (Fe) deficiency is one of the important nutritional disorders for grapevine growing in alkaline and calcareous soils. Although Fe is an abundant element in soil, several factors limiting its availability, particularly the high levels of calcium carbonate or bicarbonate in soil, leading to a remarkable reduction in grapevine growth and productivity. The use of Fe chlorosis-tolerant rootstocks seems to be a cost-effective and efficient way to maintain Fe balance. Morphological and physiological changes occur in plants to cope with low Fe availability, including enhancement of ferric chelate reductase activity and altering root system by increasing lateral roots and root hairs.

Disease‐induced alterations in the reflectance spectrum of grape leaves

Context and purpose of the study ‐ Phytopathogenic diseases impact the development and yield of grapevines, resulting in economical, social and environmental losses.

EVALUATING WINEMAKING APPLICATIONS OF ULTRAFILTRATION TECHNOLOGY

Ultrafiltration is a process that fractionates mixtures using semipermeable membranes, primarily on the basis of molecular weight. Depending on the nominal molecular weight cut-off (MWCO) specifications of the membrane, smaller molecules pass through the membrane into the ‘permeate’, while larger molecules are retained and concentrated in the ‘retentate’. This study investigated applications of ultrafiltration technology for enhanced wine quality and profitability. The key objective was to establish to what extent ultrafiltration could be used to manage phenolic compounds (associated with astringency or bitterness) and proteins (associated with haze formation) in white wine.

Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

The main objective of the work was to develop a simple, robust and selective analytical tool that allows predicting the authenticity of Tempranillo wines from DOCa Rioja. The techniques of voltammetry and absorbance-transmission and fluorescence excitation emission matrix (A-TEEM) spectroscopy have been applied in combination with machine learning (ML) algorithms to classify red wines from DOCa Rioja according to region (Alavesa, Alta or Oriental) and category (young, crianza or reserva).