Phenological Analysis of Grasses (Poaceae) in Comparison with Aerobiological Data in Moscow (Russia).

Poaceae Russia phenological index pollen concentration

Journal

Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181

Informations de publication

Date de publication:
27 Aug 2024
Historique:
received: 09 07 2024
revised: 18 08 2024
accepted: 22 08 2024
medline: 14 9 2024
pubmed: 14 9 2024
entrez: 14 9 2024
Statut: epublish

Résumé

Grasses (Poaceae) produce large amounts of pollen and are among the main causes of pollinosis worldwide. Despite their morphological similarity, pollen grains of different grass species may have different allergenicities. Therefore, quantification of the roles of individual species in airborne pollen is an important task. There are very few studies on this topic, and none of them have been conducted in a temperate continental climate. Our study was carried out for three years (2020-2022) in the urban territory of Moscow (Russia) and aimed to understand what grass species contribute the most to the total pollen load of the atmosphere. The comparison of aerobiological and phenological data was based on calculating the phenological index, which is a combination of phenological parameters, pollen productivity of individual species, and their abundance. Our data showed that the decomposition of pollination curves based on the phenological index was sometimes very efficient but not always possible in temperate continental climates. The main reasons for disagreement between aerobiological and phenological data were weather conditions and lawn mowing. Not all grasses were equally important as sources of allergenic pollen. The greatest contribution to the pollen load at the beginning of the season in Moscow was made by

Identifiants

pubmed: 39273868
pii: plants13172384
doi: 10.3390/plants13172384
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Russian Foundation for Basic Research
ID : 19-05-50035

Auteurs

Elena E Severova (EE)

Faculty of Biology, Shenzhen MSU-BIT University, Shenzhen 518172, China.
Biological Faculty, Moscow State University, 119991 Moscow, Russia.

Vera S Karaseva (VS)

Institute of Natural Science, S.A. Esenin Ryazan' State University, 390000 Ryazan, Russia.

Yulia M Selezneva (YM)

Institute of Natural Science, S.A. Esenin Ryazan' State University, 390000 Ryazan, Russia.

Svetlana S Polevova (SS)

Biological Faculty, Moscow State University, 119991 Moscow, Russia.

Classifications MeSH