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- Title
A DUAL MODEL TO PREDICT THE Peronospora sparsa SPORULATION IN ROSE BASED ON THE PLANT MICROCLIMATE.
- Authors
Filgueira, Juan José; Velasquez, Katherin
- Abstract
Roses are the most important product exportation of flower industries in Colombia, and the downy mildew produced by Peronospora sparsa Berkeley is the most limiting disease. The attack prediction is an important tool to prevent and combat this disease, decreasing the flower production cost. P. sparsa depends of microclimate conditions for its biological development. In this work, a dual model to predict sporulation is presented based on the known temperature and relative humidity near the plant (microclimate) during the night before to the prediction, allowing a reliability level above 95% on determining the parasite sporulation and with that information take a decision about the fungicide application in the crop.
- Subjects
ROSES; PERONOSPORA; BACTERIAL sporulation; INTERNATIONAL trade
- Publication
Revista Facultad de Ciencias Basicas, 2014, Vol 10, Issue 1, p22
- ISSN
1900-4699
- Publication type
Article
- DOI
10.18359/rfcb.334