Prediction of biological sensors appearance with ARIMA models as a tool for Integrated Pest Management protocols

• Main Authors: María Fernández-González, David Ramos-Valcárcel, María Jesús Aira, Francisco Javier Rodríguez-Rajo
• Format: Article
• Language: English
• Published: Institute of Rural Health 2015-12-01
• Series: Annals of Agricultural and Environmental Medicine
• Subjects: agronomy; ARIMA; integrated pest management; phytopatology; Plasmopara viticola; Uncinula necator
• Online Access: http://www.journalssystem.com/aaem/Prediction-of-biological-sensors-appearance-with-ARIMA-models-as-a-tool-for-Integrated-Pest-Management-protocols,72389,0,2.html
• ISSN: 1232-1966; 1898-2263

Introduction and objectives Powdery mildew caused by Uncinula necator and Downy mildew produced by Plasmopara viticola are the most common diseases in the North-West Spain vineyards. Knowledge of airborne spore concentrations could be a useful tool in the Integrated Pest Management protocols in order to reduce the number of pesticide treatments, applied only when there is a real risk of infection. Material and Methods The study was carried out in a vineyard of the D. O. Ribeiro, in the North-West Spain, during the grapevine active period 2004–2012. A Hirts-type volumetric spore-trap was used for the aerobiological monitoring. Results During the study period the annual total U. necator spores amount ranged from the 578 spores registered in 2007 to the 4,145 spores sampled during 2008. The highest annual total P. viticola spores quantity was observed in 2010 (1,548 spores) and the lowest in 2005 (210 spores). In order to forecast the concentration of fungal spores, ARIMA models were elaborated. Conclusions The most accurate models were an ARIMA (3.1.3) for U. necator and (1.0.3) for P. viticola. The possibility to forecast the spore presence 72 hours in advance open an important horizon for optimizing the organization of the harvest processes in the vineyard.