Terroir 2010 banner
IVES 9 IVES Conference Series 9 Validation of phenological models for grapevine in the Veneto region

Validation of phenological models for grapevine in the Veneto region

Abstract

In this study we have compared the predictive ability of two phenological models: a traditional Thermal Time (TT) and a version of the more recently develop Unified Model (UM). Unlike TT, which quantifies the accumulation of heat units which trigger bud break and the subsequent development phases, the UM describes also the fulfilment of chilling requirements, predicting the date of dormancy break, and implements a finer description of the plant development temperature-dependency. The models were fitted and validated on phenological observations collected from 1986 and 2008 in a site of North-Eastern Italy, on the cultivars Glera, Chardonnay, Merlot and Cabernet Sauvignon. The UM fitted better to observations than TT, and yielded more accurate estimates on the validation dataset. In both models, the accuracy of estimates decreased from bud break to veraison.

DOI:

Publication date: October 8, 2020

Issue: Terroir 2010

Type: Article

Authors

G. Fila (1), P. Belvini (2), F. Meggio (1), A. Pitacco (1)

(1) University of Padova, Department of Environmental Agronomy and Crop Science I-35020Legnaro (PD), Italy
(2) Centro per l’Educazione la Cooperazione e l’Assistenza Tecnica. I-31033-Castelfranco Veneto (TV),

Contact the author

Keywords

Grapevine phenology, modelling

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

Carbohydrate dynamics in Shiraz to determine seasonal allocation to the perennial and annual parts in respect to climatic challenges

The dynamic changes of non-structural carbohydrates (NSC) in grapevines during the growing season is driven by phenological events and environmental factors.

Genomic perspective of Lachancea thermotolerans in wine bioacidification

We have sequenced two commercial strains of Lachancea thermotolerans (Lt) from the company Lallemand: Laktia™ y Blizz™.

Non-invasive headspace sorptive extraction for monitoring volatile compounds production by saccharomyces and non-saccharomyces strains throughout alcoholic fermentation

Wine is a solution containing abundant volatile compounds which contribute to their aroma. Many of them are produced by yeast as metabolism by-products. Different yeast strains produce different volatile profiles. The possibility of studying the evolution of volatile compounds during fermentation, using sampling methods that not alter the volume of fermentation media, is of great interest. In spite of this, non-invasive methods to monitoring the evolution of volatile profile during fermentation have been seldom used. The goals of this work were to use by first time the headspace sorptive extraction (HSSE) as non-invasive method to monitor the evolution of volatile profiles throughout alcoholic fermentation and to study the changes on volatile profiles produced by Saccharomyces cerevisiae and Lachancea thermotolerans during fermentation of a must with high sugar content.

The potential of multispectral/hyperspectral technologies for early detection of “flavescence dorée” in a Portuguese vineyard

“Flavescence dorée” (FD) is a grapevine quarantine disease associated with phytoplasmas and transmitted to healthy plants by insect vectors, mainly Scaphoideus titanus. Infected plants usually develop symptoms of stunted growth, unripe cane wood, leaf rolling, leaf yellowing or reddening, and shrivelled berries. Since plants can remain symptomless up to four years, they may act as reservoirs of FD contributing to the spread of the disease. So far, conventional management strategies rely mainly on the insecticide treatments, uprooting of infected plants and use of phytoplasma-free propagation material. However, these strategies are costly and could have undesirable environmental impacts. Thus, the development of sustainable and noninvasive approaches for early detection of FD and its management are of great importance to reduce disease spread and select the best cultural practices and treatments. The present study aimed to evaluate if multispectral/hyperspectral technologies can be used to detect FD before the appearance of the first symptoms and if infected grapevines display a spectral imaging fingerprint. To that end, physiological parameters (leaf area, chlorophyll content and photosynthetic rate) were collected in concomitance to the measurements of plant reflectance (using both a portable apparatus and a remote sensing drone). Measurements were performed in two leaves of 8 healthy and 8 FD-infected grapevines, at four timepoints: before the development of disease symptoms (21st June); and after symptoms appearance (ii) at veraison (2nd August); at post-veraison (11th September); and at harvest (25th September). At all timepoints, FD infected plants revealed a significant decrease in the studied physiological parameters, with a positive correlation with drone imaging data and portable apparatus analyses. Moreover, spectra of either drone imaging and portable apparatus showed clear differences between healthy and FD-infected grapevines, validating multispectral/ hyperspectral technology as a potential tool for the early detection of FD or other grapevine-associated diseases.

Mining microbiome data to identify antagonists of grapevine downy mildew (Plasmopara viticola)

Vineyards are home to a myriad of microorganisms that interact with each other and with the vines. Some microorganisms are plant pathogens, such as the oomycete Plasmopara viticola, causing grapevine downy mildew. Others have a positive effect on vine health, such as disease biocontrol agents. These beneficial plant-microbe and microbe-microbe interactions have gained more attention in recent years because they could represent an alternative to the use of fungicides in viticulture.