Utilization of computer methods for forecasting and signalling of the occurence of late blight
2005
Forisekova, K.(Potato Research and Breeding Inst., Velka Lomnica (Slovak Republic) | Heldak, J. | Debreova, K.
Potato late blight (LB), caused by the fungus-like oomycete Phytophthora infestans is considered the most important disease of potatoes worldwide. Late blight is a devastating disease that is hard to control under circumstances favourable for Phytophthora infestans. Late blight forecasting models have been developed to assist farmers in reducing the risk of LB infestation and to optimize fungicide use. Nowadays, reducing harmful effects to the human health, and the environment are also important. Two methods of prognosis were compared and evaluated for four years (2000 - 2003) in Potato Research and Breeding Institute in Slovakia: Negative prognosis from UKSUZ (Central Control and Testing Institute of Agriculture, Czech Republic) Brno - marked as Method I - this programme calculates with temperature and humidity in one hours interval and daily rainfalls and need of spray signals by critical number. The Method II was from UKSUP (Central Control and Testing Institute of Agriculture, Slovak Republic) Bratislava - this programme calculates with critical amount of rainfall compared to long-term average rainfall. In three tested years (2000-2002) both methods predicted the occurrence of the late blight with satisfactory time period before the first real occurrence of LB in the field beside Method II in the year 2001. In the year 2003 there was no occurrence of LB caused by dry and hot weather during vegetation period. Programme of negative prognosis from UKSUZ Brno was more precise than method calculating with critical amount of rainfalls. Measuring of temperature and humidity in one hour intervals allow record all changes of weather during vegetation period.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Slovak University of Agriculture in Nitra
Découvrez la collection de ce fournisseur de données dans AGRIS