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• Monitoring raspberry cane midge (Resseliella theobaldi) on the basis of temperature data

  61-64

  Kitti Sipos

  Béla Pénzes

  Views:

  96

  The ’midge blight’, in which the raspberry cane midge (Resseliella theobaldi) has an important role, is the greatest problem in the raspberry protection. The basis of the chemical protection against raspberry cane midge is the prediction of adult midge emergence. Before the application of sex pheromone traps developed for the investigation of flight pattern, the usage of the accumulated temperature was attempted for the prediction of egg laying, but these temperatures are different in each country. The aim of this paper is to give information on the time of raspberry cane midge emergence and flight pattern by using sex pheromone traps and accumulated temperature calculation.

• Review of research on salt-affected soils in the Debrecen agricultural high educational institutions, with special focus on the mapping of Hortobágy

  471-484

  Tibor Tóth

  László Pásztor

  Mátyás Árvai

  György Sipos

  Katalin Takács

  Márk Rékasi

  Gábor Szatmári

  Kitti Balog

  Zsófia Adrienn Kovács

  Views:

  87

  The history of the research of Debrecen scholars on salt-affected soils of Hortobágy and the region is very rich and diverse. 
  Focusing on mapping, the following stages can be distinguished, indicating the completeness of the maps and the purpose of the performed work
  − First, quantitative maps (Arany, 1926) for the utilization of the lands at 1:75,000 (Figure 1).
  − Second, quantitative map (Kreybig, 1943) for the utilization of the lands at 1:25,000.
  − Third, category map (Kreybig et al., 1935) testing the suitability of the classification system at  :75,000.
  − Fourth, partial category map (Szabolcs, 1954), showing the reasons of unsuccessful management at 1:10,000.
  − Fifth, partial quantitative map (Csillag et al., 1996), showing the utility of digital sampling at 1:25,000.
  − Sixth, partial quantitative map (Tamás and Lénárt, 2006), showing the capacity of multispectral  remote imagery at 1:100.
  − Seventh, partial quantitative map (Douaik et al., 2006), showing the usefulness of geostatistical  mapping at 1:10,000.
  − Eight, national quantitative maps (Pásztor et al., 2016), showing the applicability of geostatistics for administrative purposes at 1:10,000.
  − Ninth, partial quantitative/category map (authors, 2019), finding the optimal methods at 1:10,000.