Decision Support Systems for Downy Mildew (Plasmopara viticola) Control in Grapevine: Short Comparison Review

Giovanni Mian *

Department of Agri Food, Environmental and Animal Sciences, University of Udine, Via Delle Scienze 206, 33100 Udine, Italy and Council for Agricultural Research and Economic analysis - Centre for Viticulture and Enology, Viale, Italy.

Edoardo Buso

Council for Agricultural Research and Economic analysis - Centre for Viticulture and Enology, Viale, Italy.

Matteo Tonon

Council for Agricultural Research and Economic analysis - Centre for Viticulture and Enology, Viale, Italy.

*Author to whom correspondence should be addressed.


Abstract

Plasmopara viticola, the aetiological agent of grapevine downy mildew (DM), is the most important pathology afflicting viticulture and requires a great number of fungicide treatments to avoid severe yield losses and quality decreasing. To date, great efforts have been made to reduce the use of plant defensive products. Resistant cultivars, new agrochemicals and, finally, epidemiological models have been elaborated to better manage plant phytoiatric treatments. Nowadays, models are widely used because they allow the cultivation of traditional varieties, limiting agrochemicals. Using such models, implemented in a DSS (Decision Support System), results in a lower risk of grapevine damage by diseases and pests and, in many cases, in a lower input of active substances. Thanks to the information reported in a DSS, users could become more conscious of the relations between weather conditions, pathogen’s cycle, and infections risk, which is an issue not yet well understood by lots of winegrowers. For this instance, DSSs have been established as important tools for the achievement of more sustainable agricultural practices. Hence, understanding their working principles might be really important. In fact, in this way, technicians and farmers can adopt the suitable system to fit their own agricultural reality, aiming at a better vineyard management under a sustainable point of view.

Keywords: Predicting models, viticulture, disease control, PV-sensing


How to Cite

Mian, Giovanni, Edoardo Buso, and Matteo Tonon. 2021. “Decision Support Systems for Downy Mildew (Plasmopara Viticola) Control in Grapevine: Short Comparison Review”. Asian Research Journal of Agriculture 14 (2):12-20. https://doi.org/10.9734/arja/2021/v14i230120.

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