Methodology for predicting the resistance of North American plants in the Astana Botanical Garden
The analysis and selection of modern methods of introduction prediction was carried out to create a promising list of woody plants of the North America site in the Astana Botanical Garden in Nur-Sultan. Using a system-arealogical approach and interpolation forecasting, botanical nurseries were selec...
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EDP Sciences
2021
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oai:doaj.org-article:bc1408b969ab46798f81906f33f118a42021-11-08T15:17:37ZMethodology for predicting the resistance of North American plants in the Astana Botanical Garden2117-445810.1051/bioconf/20213800119https://doaj.org/article/bc1408b969ab46798f81906f33f118a42021-01-01T00:00:00Zhttps://www.bio-conferences.org/articles/bioconf/pdf/2021/10/bioconf_napd2021_00119.pdfhttps://doaj.org/toc/2117-4458The analysis and selection of modern methods of introduction prediction was carried out to create a promising list of woody plants of the North America site in the Astana Botanical Garden in Nur-Sultan. Using a system-arealogical approach and interpolation forecasting, botanical nurseries were selected – they are donors of generative and planting material to be included in the collection. 33 taxa or 45% of plants corresponding to winter hardiness in the natural area of the climatic zone of Nur-Sultan were selected using the method of climatic analogues of Mayer and winter hardiness zones. The methodology we chose allowed us to expand by 55% the list of plants that have higher winter hardiness in the cultivated area than in the natural one. A promising list of 80 taxa from 19 families and 34 genera has been compiled.Sitpayeva GulnaraBabai IngaZverev NikolaiMassalova VeltaNabieva SvetlanaKhussainova IrinaIshaeva AinagulEDP SciencesarticleMicrobiologyQR1-502PhysiologyQP1-981ZoologyQL1-991ENFRBIO Web of Conferences, Vol 38, p 00119 (2021) |
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Microbiology QR1-502 Physiology QP1-981 Zoology QL1-991 Sitpayeva Gulnara Babai Inga Zverev Nikolai Massalova Velta Nabieva Svetlana Khussainova Irina Ishaeva Ainagul Methodology for predicting the resistance of North American plants in the Astana Botanical Garden |
description |
The analysis and selection of modern methods of introduction prediction was carried out to create a promising list of woody plants of the North America site in the Astana Botanical Garden in Nur-Sultan. Using a system-arealogical approach and interpolation forecasting, botanical nurseries were selected – they are donors of generative and planting material to be included in the collection. 33 taxa or 45% of plants corresponding to winter hardiness in the natural area of the climatic zone of Nur-Sultan were selected using the method of climatic analogues of Mayer and winter hardiness zones. The methodology we chose allowed us to expand by 55% the list of plants that have higher winter hardiness in the cultivated area than in the natural one. A promising list of 80 taxa from 19 families and 34 genera has been compiled. |
format |
article |
author |
Sitpayeva Gulnara Babai Inga Zverev Nikolai Massalova Velta Nabieva Svetlana Khussainova Irina Ishaeva Ainagul |
author_facet |
Sitpayeva Gulnara Babai Inga Zverev Nikolai Massalova Velta Nabieva Svetlana Khussainova Irina Ishaeva Ainagul |
author_sort |
Sitpayeva Gulnara |
title |
Methodology for predicting the resistance of North American plants in the Astana Botanical Garden |
title_short |
Methodology for predicting the resistance of North American plants in the Astana Botanical Garden |
title_full |
Methodology for predicting the resistance of North American plants in the Astana Botanical Garden |
title_fullStr |
Methodology for predicting the resistance of North American plants in the Astana Botanical Garden |
title_full_unstemmed |
Methodology for predicting the resistance of North American plants in the Astana Botanical Garden |
title_sort |
methodology for predicting the resistance of north american plants in the astana botanical garden |
publisher |
EDP Sciences |
publishDate |
2021 |
url |
https://doaj.org/article/bc1408b969ab46798f81906f33f118a4 |
work_keys_str_mv |
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