Numerical Indicators of Absorption Spectra of Leaf Extracts Obtained from Conifer Family Plants
American Journal of Agriculture and Forestry
Volume 7, Issue 3, May 2019, Pages: 106-110
Received: Mar. 21, 2019; Accepted: Apr. 27, 2019; Published: Jun. 12, 2019
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Vladimir Mikhaylovitch Koldaev, Federal Scientific Centre of the East Asia Terrestrial Biodiversity, Vladivostok, Russia
Marina Sergeevna Titova, Federal Scientific Centre of the East Asia Terrestrial Biodiversity, Vladivostok, Russia
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The purpose of this study is to examine the ratios of absorption by photosynthetic complex substances and other components of leaf extracts obtained from conifer family plants of different genera. Such ratios were determined by absorption spectrometry method using unconventional numerical values of absorption spectra, such as wave length of the highest maximum, coefficient of relative photoabsorption, blue-red coefficient, total absorption intensity and relative share of absorption by photosynthetic complex substances in total absorption. The intensity of light energy’s utilization by conifers was shown to be the highest among conifers of pine family, to be the lowest among spruce family plants and to have intermediate values among plants of fir and cypress genera. Numerical indicators of absorption spectra used in this article reflect the properties of photoreceptive system of coniferous plants and could be used in photosynthesis studies and also as criteria in environmental science and plant resources monitoring during assessment of the impact anthropogenic, climate and other factors have on coniferous forests.
Photosynthesis, Spectrophotometry, Spruce, Fir, Pine, Chamaecyparis Lawsoniana
To cite this article
Vladimir Mikhaylovitch Koldaev, Marina Sergeevna Titova, Numerical Indicators of Absorption Spectra of Leaf Extracts Obtained from Conifer Family Plants, American Journal of Agriculture and Forestry. Vol. 7, No. 3, 2019, pp. 106-110. doi: 10.11648/j.ajaf.20190703.13
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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