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ISHS Acta Horticulturae 338: VI International Workshop on Fireblight

EVALUATION OF MARYBLYT FOR PREDICTION OF FIRE BLIGHT ON APPLES IN POLAND

Authors:   Dr. P. Sobiczewski, S. Berczynski
Abstract:
The Maryblyt model was evaluated in three regions of apple production. In the north, close to the Gdansk Baltic Sea Port, model predicted accurately the disease in 1983. In second part of bloom it indicated three infection periods and high risk of infection. Model precisely predicted the time of Fire Blight appearance on blossoms and shoots. In 1984 model indicated two infection periods and high risk of infection in the second part of blomm and infestation of shoots about half of July. In fact, the disease was not observed on blossoms. However it appeared on shoots in about half of June. Any ifection period was indicated during bloom in 1985 what corresponded to the nature. The model predicted symptoms on shoots in high intensity but the disease was registered only sporadicaly. In the center of the country model was evaluated in two regions at a distance of about 100 km. In the first region in 1985 model predicted high risk of infection and two infection periods during entire blossom period. Fire Blight was observed epidemicaly on blossoms about half of June but model predicted first symptoms at the beginning of June. On shoots the disease was observed in second half of June but model predicted it several days latter. In the second region model was very accurate for Fire Blight appearance in 1988. High incidence of blossom and shoot blight was observed. In 1989 and 1991 there was not indication of the possibility of blossom infection which was true. However, despite the disease did not occurred the model predicted shoot and trauma blight symptoms. In 1992 model showed one infection period during bloom and possibility of shoot and trauma blight symptoms. The disease did not occur at all in this extremely dry year. Generally, Maryblyt model was accurate in quite high degree for Fire Blight on blossoms but less accurate in predicting shoot and trauma blight symptoms.

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