Canola Disease Modelling and Validation Datasets: Blackleg and Sclerotinia (BlacklegCM, SclerotiniaCM, UCI)
Datasets were collected from multiple sites in Western Australia under the project Disease epidemiology, modelling and delivery of management decision support tools (DAW2112-002RTX), from 2021 to 2026. Working models were: BlacklegCM, SclerotinaCM, and Blackleg UCI (Blackleg Upper Canopy Infection) for the canola crop. DPIRD subcontracted to Marcoft Grains Pathology for service. Datasets were used for model development and testing purposes. The key datasets were: disease and epidemiology datasets – infection severity scores, incidence %, disease progression, spore release timing, infection windows, plant growth stage, yield vs infection impact, canola variety susceptibility, environmental datasets – rainfall, temperature, relative humidity, leaf wetness duration, wind, agronomic management – sowing date, crop rotation, stubble management, fungicide application, DSM datasets – model input, model parameters and calibration datasets, and model validation datasets (training and testing datasets).
Abstract
Datasets were collected from multiple sites in Western Australia under the project' Disease epidemiology, modelling and delivery of management decision support tools' (DAW2112-002RTX) from 2021 to 2026. The models were: BlacklegCM, SclerotinaCM, and Blackleg UCI (Blackleg Upper Canopy Infection) for the canola crop. DPIRD subcontracted to Marcoft Grains Pathology for service.
