Next Article in Journal
The Removal Efficiencies of Several Temperate Tree Species at Adsorbing Airborne Particulate Matter in Urban Forests and Roadsides
Next Article in Special Issue
Breeding Systems in Diploid and Polyploid Hawthorns (Crataegus): Evidence from Experimental Pollinations of C. monogyna, C. subsphaerica, and Natural Hybrids
Previous Article in Journal
Evaluating Model Predictions of Fire Induced Tree Mortality Using Wildfire-Affected Forest Inventory Measurements
Previous Article in Special Issue
Floral Structure and Breeding Systems of Manglietia conifera Dandy (Magnoliaceae)

Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities

Institute of Regional Development, Šiauliai University, 76351 Šiauliai, Lithuania
Institute of Life Science and Technology, Daugavpils University, LV5401 Daugavpils, Latvia
Author to whom correspondence should be addressed.
Forests 2019, 10(11), 959;
Received: 30 September 2019 / Revised: 19 October 2019 / Accepted: 24 October 2019 / Published: 28 October 2019
(This article belongs to the Special Issue Study of Tree Pollen and Pollination)
Alnus glutinosa is an important woody plant in Lithuanian forest ecosystems. Knowledge of fluorescence properties of black alder pollen is necessary for scientific and practical purposes. By the results of the study, we aimed to evaluate possibilities of identifying Alnus glutinosa pollen fluorescence properties by modeling ozone effect and applying two different fluorescence-based devices. To implement the experiments, black alder pollen was collected in a typical habitat during the annual flowering period in 2018–2019. There were three groups of experimental variants, which differed in the duration of exposure to ozone, conditions of pollen storage before the start of the experiment, and the exposure time. Data for pollen fluorescence analysis were collected using two methods. The microscopy method was used in order to evaluate the possibility of employing image analysis systems for investigation of pollen fluorescence. The second data collection method is related to an automatic device identifying pollen in real time, which uses the fluorescence method in the pollen recognition process. Data were assessed employing image analysis and principal component analysis (PCA) methods. Digital images of ozone-exposed pollen observed under the fluorescence microscope showed the change of the dominant green colour toward the blue spectrum. Meanwhile, the automatic detector detects more pollen whose fluorescence is at the blue light spectrum. It must be noted that assessing pollen fluorescence several months after exposure to ozone, no effect of ozone on fluorescence remains. View Full-Text
Keywords: allergenic pollen; ozone; automatic real-time device; image analysis; principal component analysis allergenic pollen; ozone; automatic real-time device; image analysis; principal component analysis
Show Figures

Figure 1

MDPI and ACS Style

Šaulienė, I.; Šukienė, L.; Daunys, G.; Valiulis, G.; Lankauskas, A.; Kokina, I.; Gerbreders, V.; Gavarāne, I. Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities. Forests 2019, 10, 959.

AMA Style

Šaulienė I, Šukienė L, Daunys G, Valiulis G, Lankauskas A, Kokina I, Gerbreders V, Gavarāne I. Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities. Forests. 2019; 10(11):959.

Chicago/Turabian Style

Šaulienė, Ingrida, Laura Šukienė, Gintautas Daunys, Gediminas Valiulis, Alfredas Lankauskas, Inese Kokina, Vjačeslavs Gerbreders, and Inese Gavarāne. 2019. "Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities" Forests 10, no. 11: 959.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop