Onion Downy Mildew Forecast Validation in Santa Catarina, 2014-2016

Three crop seasons of experimental data from 2014, 2015, and 2016 in Rio do Sul, Santa Catarina State, Brazil, validate a forecast system for onion downy mildew. The dataset, associated with a paper by Leandro Luiz Marcuzzo, compares spraying regimes based on daily severity values (DSV) to conventional schedules. In the forecast system with a DSV of 12, the number of sprayings was reduced by 42%, 30%, and 40% across the three years compared to weekly applications.

Use Cases

• Compare the efficacy of different disease forecast thresholds based on daily severity values (DSV).
• Analyze the relationship between spraying frequency and disease progression metrics like the area under the disease progress curve (AUDPC).
• Validate integrated pest management strategies for onion downy mildew control.
• Model the economic and environmental impact of reduced pesticide application schedules.

Strengths

• Data spans three consecutive crop seasons (2014, 2015, 2016), allowing for inter-annual comparison.
• Includes specific, quantified results such as spraying reductions of 42%, 30%, and 40% for the DSV 12 regime.
• Compares multiple treatment levels (DSV 6, 8, 10, 12) and conventional systems (5 and 7-day intervals).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Geographic scope is limited to a single location (Rio do Sul, SC, Brazil), which may limit generalizability.
• Last update date is unknown; freshness unverified.

Provenance

Source

Leandro Luiz Marcuzzo via paperswithcode.

Collection Method

Field experiments conducted during onion crop seasons.

Time Range

2014, 2015, 2016 crop seasons.

Geography

Rio do Sul, Santa Catarina State, Brazil.