Vol. 16 No. 1 (2010)
Articles

Climatic indicator analysis of blooming time for sour cherries

Published January 3, 2010
M. Ladányi
Corvinus University of Budapest, Department of Mathematics and Informatics, H-1118 Budapest, 29–43 Villányi, Hungary
Sz. Persely
University of Debrecen, Centre for Agricultural Sciences and Engineering, Department of Economic Analysis and Statistics, H-4032 Debrecen, 138 Böszörményi, Hungary
T. Szabó
Research and Extension Centre for Fruit Growing, H-4244, Újfehértó, Hungary
Z. Szabó
Institute for Research and Development, University of Debrecen, H-4032 Debrecen, 138 Böszörményi, Hungary
M. Soltész
Institute for Research and Development, University of Debrecen, H-4032 Debrecen, 138 Böszörményi, Hungary
J. Nyéki
Institute for Research and Development, University of Debrecen, H-4032 Debrecen, 138 Böszörményi, Hungary
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APA

Ladányi, M., Persely, S., Szabó, T., Szabó, Z., Soltész, M., & Nyéki, J. (2010). Climatic indicator analysis of blooming time for sour cherries. International Journal of Horticultural Science, 16(1), 11-16. https://doi.org/10.31421/IJHS/16/1/855

County Szabolcs-Szatmár-Bereg produces more than the half of the total sour cherry grown in Hungary. Successful production, i.e. yield, depends largely on weather conditions. Most attention should be paid to the weather during the blooming period, being most decisive from the points of view of quality as well as quantity. In order to predict yields expected, the characterisation of the most important weather parameters is necessary. For that purpose, the database of the Institute of Research and Extension Service for Fruit Growing at Újfehértó Ltd. has been utilised. Records of weather conditions were collected throughout the period 1984-2005, i.e. daily minimum, maximum and mean temperatures (°C), precipitation (mm), and phonological diary of sour cherry varieties ’Újfehértói fürtös’, ’Kántorjánosi’ and ’Debreceni bôtermô’. Data of 7 indicators have been traced: number of frosty days, the absolute minimum temperatures, means of minimum temperatures, number of days when daily means were above 10°C, means of maximum temperatures, number of days without precipitation, and number of days when precipitation was more than 5 mm. On the one hand, we surveyed the changes; on the other hand, estimates have been attempted for the future changes expected during the following decades. The indicators being associated with certain risky events may serve for the prediction of the future recommendations to prevent damages.

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