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2017 ASHS Annual Conference

The Cipra-2017 Software for Integrated Crop and Pest Management in Eastern Canada

Friday, September 22, 2017
Kona Ballroom (Hilton Waikoloa Village)
Gaetan Bourgeois, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC, Canada
Dominique Plouffe, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC, Canada
Nathalie Beaudry, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC, Canada
Danielle Choquette, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, QC, Canada
René Audet, Agriculture Agri-Food Canada, Québec, QC, Canada
Gérald Chouinard, Institut de recherche et développement en agroenvironnement, Saint-Bruno-de-Montarville, QC, Canada
To help managing horticultural crops and their pests, weather-based decision systems are useful tools for producers. Several weather-based mathematical models were developed or improved over the last 22 years, based on scientific experiments and literature reviews. All these models are implemented in the 2017 version of the CIPRA (Computer Centre for Agricultural Pest Forecasting) software, which can be used as a "virtual laboratory" of bioclimatic modelling for many scientists, as a knowledge integrator of several fields of expertise (e.g. climatology, plant physiology, entomology, phytopathology, post-harvest quality, mathematics, computer science, etc.), and as an efficient technology transfer tool for all stakeholders involved in horticulture. With more than 130 models, CIPRA is now the largest bank of predictive bioclimatic models in Canada using in real-time weather observations and forecasts. These models predict the phenology of several vegetable, fruit, small grain, and forage crops, as well as the development of insect pests, diseases and physiological disorders that may affect them. Several of these models are also used in national science projects to study historical climate trends (e.g. 1950-2016) and the potential impacts of climate change and variability (e.g. 2041-2070). Designed in a modular way by crop, CIPRA's bioclimatic models can be easily and quickly transferred to other national and international actors to ensure better spatial and temporal diffusion of bioclimatic predictions. Moreover, the AgWeather Quebec and AgWeather Atlantic web platforms in Canada now integrate several bioclimatic models of CIPRA and feed them with weather data from 325 sites in eastern Canada. This dynamics has greatly contributed to the development of services offered by several research and consulting teams in eastern Canada.
See more of: Computer Applications in Horticulture (Poster)
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