Mecanismo de predicción de la intensidad de daño del moho gris (botrytis cinerea), en mora de castilla (rubus glaucus benth)

Mora de Castilla, or Andean Blackberry ( Rubus glaucus Benth) is a fruit with a great potential because of the importance of its production. In recent years, growing blackberries in Venezuela has become a difficulty due to phytosanitary problems that reduce their results; among these problems fruit-rotting or grey mould is found, caused by the fungus Botrytis cinerea. Gray mould is one of the most common diseases because it necrotizes reeds, dehydrates immature fruits, rots and breaks down the ripe fruit. This study aimed at identifying a mechanism for predicting the intensity of damage of grey mould when growing mora de castilla, and it was carried out in Santa Rosa Experimental Station, Agricultural Research Institute, School of Forestry and Environmental Sciences, at the University of Los Andes in 2004. In the pilot stage, a population of 200 plants of mora de castilla was used. As a result, it was observed that the best height for the capture of conidia of B. cinerea is 1.2 meters at a sampling time of 4 days, it was determined that there was no significant relationship between the number of conidia trapped at a sampling time of 4 and 8 days with the incidence of the disease. The prediction mechanism was generated using the prediction equation, based on the relationship between environmental variables studied and the number of conidia captured.