Forest Pathology Pattern of Forest Stands of the Green Belt of Astana
- 1 Kazakh National Agrarian University,Faculty of Forest, Land Resources and Phytosanitary, 050010, The Republic of Kazakhstan, Almaty, Abay avenue, 8, Kazakhstan
- 2 Kazakh Research Institute for Plant Protection and Quarantine named after Zh. Zhiembaev, 050070, The Republic of Kazakhstan, Almaty, Nauryzbay region, md. Rahat st. Kazybek bi, 1, Kazakhstan
- 3 Kazakh Research Institute for Plant Protection and Quarantine named after Zh. Zhiembaev, Kazakhstan
- 4 Artvin Coruh University, Faculty of Forestry, Seyitler Campus 08000 Artvin, Artvin Merkez, st. Sayyed, 1, Turkey
Abstract
The article presents the results of researches on an estimation of a forest pathology pattern of the Astana green belt stands. For the first time, a complex of insect pests and entomophages is being specified in the Astana green belt stands. The biological effectiveness of biopreparations and insecticides against harmful insects in the system of protective measures and the forest pathology pattern of stands have been estimated. There has been determined the percentage of dominance of the main insect pests, such as birch leaf miner (Fenusa pumila Kl.), spruce bud scale (Physokermes hemicryphus (Dalm.), red spider (Paratetranychus ununguis Jac.), as well as pine web-spinning sawfly (Acantholyda posticalis Mats.) that periodically create a chronic focus and the entomophages: spider (Araneus diadematus Cl.), common lacewing (Chrysoperla carnea), labirynth agelena (Ageiena labyrinthica (Cl.). Bitoxibacillinum biopreparation showed high biological efficiency against birch leaf miner and the akkabelek biopreparation-against butterfly caterpillars. The tested systemic insecticide Aktara 250 v.d.g. against birch leaf miners showed good biological efficiency.
DOI: https://doi.org/10.3844/ojbsci.2018.158.161
Copyright: © 2018 Zhanarbek Bolat, Nurzhan Serikkanuly Mukhamadiyev, Nursagim Zhamaubayevich Ashikbaev, Gulnaz Zhetkergenkyzy Mengdibayeva and Temel Gokturk. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Green Belt
- Forest Pathology Monitoring
- Pests
- Diseases