Background: The determination of pollen types and their proportions in the atmosphere of relevant urban areas have increasingly been evaluated in different regions. The final goal has been to elaborate a pollen calendar, providing data about the occurrence of pollen grains in the air, thus permitting medical treatment and prophylaxis.
Methods: An aerobiological study was carried out in the atmosphere of the city of Salamanca, Spain, during eight years (2000-2007) by means of a Hirst type volumetric spore trap. A pollen calendar was elaborated following exponential classes obtained from 10-day average concentrations of the main pollen types.
Results: Mean annual pollen index was 16,916, coming from 72 different types of pollen. During the studied period, an increase of annual pollen levels was registered by means of regression analysis index. The most important types of pollen were Quercus, Poaceae, Cupressaceae, Olea, and Plantago. Arboreal pollen grains (62.7%) were more represented in airborne pollen spectrum than non-arboreal pollen (37.3%). Airborne pollen levels were particularly high between April and July, showing the highest values in May and June.
Conclusions: In aerobiological terms Poaceae pollen seems to be a major risk for potential sensitised individuals due to its known allergenicity and its high atmospheric concentrations between late spring and early summer, followed by Cupressaceae, Olea and Platanus pollen grains, and taking into account the possible role of Fraxinus and Quercus in early spring allergenic courses and in processes of cross-sensitivity, respectively.
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http://dx.doi.org/10.1016/j.aller.2010.04.001 | DOI Listing |
Plant Biol (Stuttg)
January 2025
Laboratório de Ecologia Vegetal, Departamento de Biologia Geral, Universidade Estadual de Montes Claros, Montes Claros, Minas Gerais, Brazil.
The success of pollen-pistil interaction in Mauritia flexuosa (buriti), a palm adapted to the humid ecosystems, 'veredas', within the Cerrado, is influenced by intrinsic and environmental factors. Its supra-annual flowering, dioecy, and adverse climate conditions pose challenges for fertilization, therefore information on floral biology is essential. This study aimed to ascertain stigma receptivity, and elucidate structural, cytochemical, and ultrastructural aspects of the pollen-pistil relationship.
View Article and Find Full Text PDFJ Integr Plant Biol
January 2025
School of Advanced Agricultural Sciences, Peking University, Beijing, 100871, China.
Heat stress (HS) at the reproductive stage detrimentally affects crop yields and seed quality. However, the molecular mechanisms that protect reproductive processes in plants under HS remain largely unknown. Here, we report that Acetylation Lowers Binding Affinity 3 (ALBA3) is crucial for safeguarding male fertility against HS in Arabidopsis.
View Article and Find Full Text PDFPlant Mol Biol
January 2025
Shanghai Collaborative Innovation Center of Plant Germplasm Resources Development, College of Life Sciences, Shanghai Normal University, Shanghai, China.
The accurate callose deposition plays important roles in pollen wall formation and pollen fertility. As a direct target of miRNA160, ARF17 participate in the formation of the callose wall. However, the impact of ARF17 misexpression in microsporocytes on callose wall formation and pollen fertility remains unknown.
View Article and Find Full Text PDFBMC Public Health
January 2025
Social Environment and Health Program, Institute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI, 48104, USA.
Introduction: Levels of plant-based aeroallergens are rising as growing seasons lengthen and intensify with anthropogenic climate change. Increased exposure to pollens could increase risk for mortality from respiratory causes, particularly among older adults. We determined short-term, lag associations of four species classes of pollen (ragweed, deciduous trees, grass pollen and evergreen trees) with respiratory mortality (all cause, chronic and infectious related) in Michigan, USA.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, University of Jaén, Jaén, Spain.
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, having information in advance on crop yields is an extraordinary help.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!