GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 GiESCO 2019 9 The myth of the universal rootstock revisited: assessment of the importance of interactions between scion and rootstock

The myth of the universal rootstock revisited: assessment of the importance of interactions between scion and rootstock

Abstract

Aim‐ Rootstocks provide protection against soil borne pests and are a powerful tool to manipulate growth, fruit composition and wine quality attributes. The present study aimed to assess the consistency of rootstock effects on growth and fruit composition of scion varieties and identify scion x rootstock interactions.

Methods and Results‐ Vine performance and fruit composition of hot climate, drip irrigated, spur pruned Chardonnay, Cabernet Sauvignon and Shiraz grafted on 7 rootstocks was assessed over 5 seasons, 2013‐2017. Rootstocks included Ramsey, 1103 Paulsen and 140 Ruggeri and 4 promising selections from the CSIRO rootstock development program. Vines were trained as quadrilateral cordons on a 1.8 m high 2‐wire vertical trellis with a 3.0 m x 1.8 m, row x vine spacing and irrigated with 5.5 – 6.0 Ml/ha of water each season. The study was conducted with mature vines established in 2006, as a randomized block design with 5 replicates.

There were significant effects of both variety and rootstock on yield, bunch number, bunch weight, berry weight (scion only), berries per bunch, pruning weight and the Ravaz Index (yield/pruning weight). Despite identical management practices, there were large differences between scion varieties in key growth characteristics across rootstocks. Chardonnay produced a high yield (mean 25.2 kg/vine) with low pruning weight (2.3 kg/vine) and a high mean Ravaz Index value of 12.1. Shiraz had the highest yield (27.4 kg/vine) with high pruning weight (5.1 kg/vine) and a Ravaz index of 6.3. Cabernet Sauvignon had the lowest yield (15.9 kg/vine) and highest pruning weight (6.6 kg/vine) and a very low Ravaz Index value of 3.0. Effects of rootstock on growth characteristics were smaller than the effects of variety, with mean yields ranging from 19.5 to 25.9 kg/vine, pruning weights ranging from 3.24 to 6.13 kg/vine and mean Ravaz Index values ranging from 5.54 to 8.63. Each variety was harvested when mean total soluble solids reached 25.0 oBrix. There were significant effects of variety and rootstock on fruit composition including pH, titratable acidity (scion only), malate, tartrate (scion only), yeast assimilable nitrogen (YAN) and for the red varieties, total anthocyanins (scion only) and phenolic substances (scion only). 

Significant interactions between scion variety and rootstocks were found for yield, bunch number, berry weight, pruning weight and Ravaz index. The effect of rootstock on bunch weight and berries per bunch was consistent across scions. Significant scion x rootstock interactions were also found for pH and YAN. For each variety, significant effects of rootstock on fruit composition were linked to growth characteristics. However, these relationships, based on correlation analyses, varied for each scion.

Conclusions

The study has shown that growth characteristics and fruit composition of the major varieties was not consistent across 7 rootstock genotypes, as significant scion x rootstock interactions were determined. Hence, different rootstocks may be required for each variety to optimise scion performance and fruit composition. The study has also shown that the new CSIRO rootstock selections, covering a range of vigour classifications, may be useful alternatives to those currently in use by industry.

Significance and impact of the study‐ The study has shown that the performance of scion varieties and to a lesser degree fruit composition, is dependent on rootstock choice. The inherent vigour of the scion variety must be considered in rootstock selection. Furthermore, individual scion/rootstock combinations may require specific irrigation, pruning or canopy management to achieve vine balance and optimise fruit and wine composition.

DOI:

Publication date: June 19, 2020

Issue: GiESCO 2019

Type: Article

Authors

Peter CLINGELEFFER (1), Norma MORALES (1), Hilary DAVIS (2) and Harley SMITH (1)

(1) CSIRO Agriculture and Food, Locked Bag 2, Glen Osmond SA, 5064, Australia.
(2) CSIRO Agriculture and Food, PO Box 447, Irymple Vic, 3498, Australia.

Contact the author

Keywords

Grapevine, Scion, Variety, Rootstock, Growth, Composition, Interactions

Tags

GiESCO 2019 | IVES Conference Series

Citation

Related articles…

VINIoT: Precision viticulture service for SMEs based on IoT sensors network

The main innovation in the VINIoT service is the joint use of two technologies that are currently used separately: vineyard monitoring using multispectral imaging and deployed terrain sensors. One part of the system is based on the development of artificial intelligence algorithms that are feed on the images of the multispectral camera and IoT sensors, high-level information on water stress, grape ripening status and the presence of diseases. In order to obtain algorithms to determine the state of ripening of the grapes and avoid losing information due to the diversity of the grape berries, it was decided to work along the first year 2020 at berry scale in the laboratory, during the second year at the cluster scale and on the last year at plot scale. Different varieties of white and red grapes were used; in the case of Galicia we worked with the white grape variety Treixadura and the red variety Mencía. During the 2020 and 2021 campaigns, multispectral images were taken in the visible and infrared range of: 1) sets of 100 grapes classifying them by means of densimetric baths, 2) individual bunches. The images taken with the laboratory analysis of the ripening stage were correlated. Technological maturity, pH, probable degree, malic acid content, tartaric acid content and parameters for assessing phenolic maturity, IPT, anthocyanin content were determined. It has been calculated for each single image the mean value of each spectral band (only taking into account the pixels of interest) and a correlation study of these values with laboratory data has been carried out. These studies are still provisional and it will be necessary to continue with them, jointly with the training of the machine learning algorithms. Processed data will allow to determine the sensitivity of the multispectral images and select bands of interest in maturation.

Influence of nitrogen supply on colorimetric parameters of Lugana wines

AIM: Color is one of the main qualitative parameters of a wine. As a matter of fact, immediately after having opened a bottle of wine, color, even before aroma and taste, is the first sensorial parameter to be evaluated by the consumer It can change according to various factors depending on the characteristics of the grapes or on the different production and storage processes. This study aims to evaluate the color differences on Lugana wines that are fermented with different yeast and nitrogen supply.

Classification of the wine-growing environment of Central Mancha (Spain). First works

This paper describes a zoning study performed on a vast territory of around 86,500 hectares, situated in the countryside area of La Mancha Central (Castilla-La Mancha). The aim of the study was to classify the environment according to a small number of ecological criteria, establish the relevant territorial units and generate thematic maps with the different levels of criteria employed and synthetic maps by crossing these criteria.

Genetic study of wild grapevines in La Rioja region

Since the mid-1980s, several surveys have been carried out in La Rioja to search for populations of the sylvestris grapevine subspecies (Vitis vinifera L. subsp. sylvestris Gmelin). The banks of the Ebro River and its tributaries (Alhama, Cidacos, Leza, Iregua, Najerilla, Oja and Tirón rivers), as well as the surrounding vegetation of their valleys have been covered. So far, all the populations found are alluvial, forming part of the riparian vegetation of the Najerilla (the first reported population in La Rioja [1]), Iregua, and the vicinity of Oja valleys.

Biodiversidad de levaduras no-Saccharomyces aisladas de viñedos uruguayos: Lachancea thermotolerans y su potencial en la industria de bebidas fermentadas

Non-saccharomyces yeasts play a crucial role in fermentation, producing a variety of secondary metabolites and enzymes that contribute to aromatic and sensory complexity compared to saccharomyces yeasts. It is crucial to understand and control the dynamics of non-saccharomyces yeasts to produce distinctive and high-quality fermented beverages.