terclim by ICS banner
IVES 9 IVES Conference Series 9 Permanent cover cropping with reduced tillage increased resiliency of wine grape vineyards to climate change

Permanent cover cropping with reduced tillage increased resiliency of wine grape vineyards to climate change

Abstract

Majority of California’s vineyards rely on supplemental irrigation to overcome abiotic stressors. In the context of climate change, increases in growing season temperatures and crop evapotranspiration pose a risk to adaptation of viticulture to climate change.  Vineyard cover crops may mitigate soil erosion and preserve water resources; but there is a lack of information on how they contribute to vineyard resiliency under tillage systems. The aim of this study was to identify the optimum combination of cover crop sand tillage without adversely affecting productivity while preserving plant water status. Two experiments in two contrasting climatic regions were conducted with two cover crops, including a permanent short stature grass (P. bulbosa hybrid), barley (Hordeum spp), and resident vegetation under till vs. no-till systems in a Ruby Cabernet (V. vinifera spp.) (Fresno) and a Cabernet Sauvingon (Napa) vineyard. Results indicated that permanent grass under no-till preserved plant available water until E-L stage 17. Consequently, net carbon assimilation of the permanent grass under no-till system was enhanced compared to those with barley and resident vegetation. On the other hand, the barley under no-till system reduced grapevine net carbon assimilation during berry ripening that led to lower content of nonstructural carbohydrates in shoots at dormancy. Components of yield and berry composition including flavonoid profile at either site were not adversely affected by factors studied. Switching to a permanent cover crop under a no-till system also provided a 9% and 3% benefit in cultural practices costs in Fresno and Napa, respectively. The results of this work provides fundamental information to growers in preserving resiliency of vineyard systems in hot and warm climate regions under context of climate change.

DOI:

Publication date: May 31, 2022

Issue: Terclim 2022

Type: Article

Authors

Maria Zumkeller, Nazareth Torres, Runze Yu, Alyssa DeVincentis and S. Kaan Kurtural

Department of Viticulture and Enology, University of California, Davis, USA

Contact the author

Keywords

cover crops, tillage, cultivation, climate change, soil health

Tags

IVES Conference Series | Terclim 2022

Citation

Related articles…

OmicBots – An innovative and intelligent multi-omics platform facing wine sector challenges

To face emerging competition and challenges, wine producers globally rely on precision viticulture (PV) solutions to boost productivity, enhance quality, increase profitability, and reduce the environmental impact of vineyards. Current pv methods predominantly use multispectral sensor data from several platforms (satellites or vineyard installations). However, these applications generally use data analysis strategies lacking physiological grapevine support.

The impact of cell wall composition of the extraction of anthocyanins and tannins from grape berries

Extraction of anthocyanins and tannins have been studied for two grape varieties, Carignan and Grenache, two maturation levels and two vintages, in model solutions and in wines, using UHPLC-MS/MS in the MRM mode  and HPSEC.

French regulations related to vineyard spraying and examples of devices developed in France and around the world to limit the risks of point-source pollution

Managing pests in vineyards presents a major challenge for winegrowers, who are seeking effective solutions to control diseases and pests.

Cold plasma at atmospheric pressure for eliminating Brettanomyces from oak wood

In the oenological industry, the maintenance and sanitation of oak barrels has become a fundamental task. The wood has a porous structure that facilitates the penetration not only of the wine, but of the microorganisms it contains, such as the alterative yeast Brettanomyces bruxellensis.

Beyond classical statistics – data fusion coupled with pattern recognition

AIM: Patterns in data obtained from wine chemical and sensory evaluations are difficult to infer using classical statistics.