Vitality structure of cenopopulations Melilotus officinalis (L.) Pall. under the conditions of Krolevets-Hlukhiv  geobobotanical region

I.V. Zubtsova; V.G. Skliar; S.D. Melnytchuk; L.M. Bondarieva

doi:10.32845/agrobio.2019.1-2.2

I.V. Zubtsova Sumy National Agrarian University (Sumy, Ukraine) https://orcid.org/0000-0001-6339-931X
V.G. Skliar Sumy National Agrarian University (Sumy, Ukraine) https://orcid.org/0000-0002-1301-7384
S.D. Melnytchuk Sumy National Agrarian University (Sumy, Ukraine)
L.M. Bondarieva Sumy National Agrarian University (Sumy, Ukraine) https://orcid.org/0000-0003-4126-7601

DOI: https://doi.org/10.32845/agrobio.2019.1-2.2

Keywords: Melilotus officinalis, medicinal plants, coenopopulations, morphometric analysis, vitality structure, Krolevets-Hlukhiv geobotanical region.

Abstract

The research results of the vitality structure of coenopopulations of Melilotus officinalis (L.) Pall. of various habitats on bottomland meadows of Krolevets-Hlukhiv geobotanical region are represented. The researches have been run since 2014 till 2019. The population analysis was used for six cenopopulations Melilotus officinalis (L.) Pall. They formed in the cenoses with dominating such species as Festuca pratensis Huds., Elytrigia repens L., Phleum pratense L., Artemisia vulgaris L., Achillea submillefolium Klokov & Krytzka, Chelidonium majus L., Convolvulus arvensis L.

The set of methods was used for statistical and mathematical processing of primary morphometric data. Based on the results of correlation and factor analysis, as key morphoparametres that determine vitality of M. officinalis individuals were selected: phytomass of the individual (W, g ), height (H, sm), and area of the leaf surface (A, sm²). These figures are part of different correlation pleades, high variation and show a high factor loads.

All key morphometric parameters mentioned above were used for the determination of the correlation of various individuals of the vitality of plants in every species populations. The quality population index (Q) was performed as an integral evaluation index of the vitality population. With the help of this index all populations were divided into three categories: prosperous, balanced or depressive.

The value of the quality index of the researched populations varied from 0.1000 to 0.5000, so they reached their maximum. Also, in one of the thriving populations (from the cenosis Elytrigietum (repentis) artemisiosum (vulgaris)), were represented only individuals of the highest (class “a”) vitality. It should be noticed that both thriving populations formed in phytocenoses with the dominance of cereals and the co-domination of motley grass.

Based on the results of vitality analysis, it was found that populations from the conenoses of Elytrigietum (repentis) alchemillosum (submillefolium), Elytrigietum (repentis) artemisiosum (vulgaris). And populations from the conenoses of Festucetum (pratensis) elytrigiosum (repenstis) and Chelidonietum (majus) convolvulosum (arvensis) with the value of the quality index Q 0.2000 and 0.2333 can be considered as potential localities for harvesting of medicinal plants. Also, it should be noticed that the last two populations require particularly detailed monitoring of their population structure. The use of these populations must be stopped in the case of the shortening of their population quality index or other characteristics.

References

1. Skliar, V. G., & Skliar, Yu. L. (2003). Sistemnij pіdhіd do optimіzacіy ohoroni prirodnih kompleksіv [System approach to optimization of protection of natural complexes]. Ukrainian Botanical Journal, 60(4), 388–396 (in Ukrainian).
2. Zlobin, Yu. A. (2009). Populiatsyonnaia еkolohyia rastenyi: sovremennoe sostoianye, tochky rosta [Population ecology of plants: the current state, in terms of growth]. Universytetska knyha, Sumy (in Ukrainian).
3. Zlobin, Yu. A. (2018). Algoritm ocіnki vіtalіtetu osobin roslin і vіtalіtetnoї strukturi fіtopopuljacіj [An algorithm for assessing the vitality of plant individuals and the vitality structure of phytopopulations]. Chornomors’k. bot. z., 14(3), 213–226 (in Ukrainian).
4. Bondaryeva, L. M. (2004). Struktura populyacij kormovih zlakiv na zaplavnih lukah r. Sula za umov pasovishnoyi digresiyi [Population structure of fodder cereals in the floodplain meadows of the river Sula under pasture digression]. Ukrayinskij botanichnij zhurnal, 61(4), 21–29 (in Ukrainian).
5. Bondaryeva, L. M., & Byelan, S. S. (2010). Porivnyalnij analiz vitalitetnoyi strukturi populyacij cenozoutvoryuyuchih zlakiv na teritoriyah zakaznikiv zaplavi richki Suli ta na dilyankah iz antropogennim vikoristannyam [Comparative analysis of the vital structure of populations of pricing cereals in the territories of the reserves of the Sula River floodplain and in areas with anthropogenic use]. Visnik Sumskogo nacionalnogo agrarnogo universitetu. Seriya «Agronomiya ta biologiya», 4(19). 15–21 (in Ukrainian).
6. Kyrylchuk, K. S. (2014). Populjacіjna struktura Medicago falcata L. na zaplavnih lukah Lіsostepovoi zony v umovah pasovishhnih ta sіnokіsnih navantazhen' [Populations of Medicago falcata L. on flood plains in the forest-steppe zone in conditions of pasture and hay grazing]. Vіsnik Harkіvs'kogo nacіonal'nogo unіversiteta іmenі V. N. Karazіna. Serіja «Bіologіja», 20(1100), 305–314 (in Ukrainian).
7. Bondareva, L. M, Kyrylchuk, K. S., & Korovjakova, T. O. (2012). Reproduktivne zusillja osnovnih gospodars'kih grup luchnih roslin na zaplavnih lukah Pіvnіchnogo Shodu Ukrainy v umovah paskval'nogo ta fenіsicіal'nogo navantazhennja [Reproductive efforts of main economic groups of meadow plants on the flood plains of the North-East of Ukraine in conditions of catch and fensiscial load]. Vіsnik Sums'kogo NAU. Serіja «Agronomіja і bіologіja», 9(24), 3–6 (in Ukrainian).
8. Spravochnik, V. I., Chopik, L. G., Dudchenko, & Krasnova, A. N. (1983). Dikorastushhie poleznye rastenija Ukrainy [Wild useful plants of Ukraine]. Naukova dumka, Kiev (in Russian).
9. Komarova, E. Je., Durnova, N. A., Kozina, P. A., Romanteeva, Ju. V., & Polukonova, N. V. (2014). Soderzhanie kumarinov v trave donnika lekarstvennogo Melilotus officinalis (L.) Pall., proizrastajushhego v raznyh rajonah Saratovskoj oblasti [The content of coumarins in the grass of Melilotus officinalis (L.) Pall., growing in different regions of the Saratov Region]. Bjulleten' Botanicheskogo Sada Saratovskogo Gosudarstvennogo Universiteta, 12, 71–75 (in Russian).
10. Lozhkin, A. V., & Sakanjan, E. I. (2006). Prirodnye kumariny: metody vydelenija i analiza (obzor) [Natural coumarins: methods of isolation and analysis (review)]. Himiko-farmacevticheskij zhurnal, 40(6). 47–56 (in Russian).
11. Nikolaeva, V. V., Antropova, I. G., Phjo, M. U., Kurakina, E.S., & Fenin, A. A. (2014). Issledovanie antiradikal'noj aktivnosti kumarina i jekstrakta donnika lekarstvennogo [The study of the antiradical activity of coumarin and sweet clover extract]. Butlerovskie soobshhenija, 38(4), 10–15 (in Russian).
12. Erzyleva, T. V. (2015). Vlijanie rastitel'nyh polisaharidov na krov'i krovetvorenie v norme i pri patologii [The effect of plant polysaccharides on blood and hematopoiesis is normal and with pathology]. Nauka Molodyh, Eruditio Juvenium, 3, 97–102 (in Russian).
13. Kovaleva, A. M., Grud'ko, I. V., Il'ina, T. V., & Rusanova, S. V. (2010) Aromaticheskie soedinenija kornej donnika lekarstvennogo [Aromatic compounds of the roots of Melilotus officinalis]. Vіsnik Farmacії, 4, 59–61 (in Russian).
14. Martino, E., Ramaiola, I., Urbano, M., Bracco, F., Collina, S. (2006). Microwave-assisted extraction of coumarin and related compounds from Melilotus officinalis (L.) Pallas as an alternative to Soxhlet and ultrasound-assisted extraction. J. Chromatogr. A., 1125(2), 147–151.
15. Plesca-Manea, L., Parvu, A. E., Parvu, M., Taamas, M., Buia, R., Puia, M. (2002). Effects of Melilotus officenalis on acute inflammation. Phytother Res., 16(4), 316–319.
16. Teplitskaya, L., Yurkova, I., Sidyakin, A., & Zhupanov, I. (2011). Otrimannja kalusnoj kul'turi burkuna lіkars'kogo (Melilotus officinalis (L.) Pall.) ta ії citomorfologіchnі osoblivostі [Receipt of callus cultures of M. officinalis and them cytomorphological features]. Scientific Notes of Taurida. Vernadsky National University. Series Biology, chemistry, 24(63), 284–290 (in Ukrainian).
17. Nalimova, N., & Efeykina, N. (2018). Ocenka morfologicheskih, jekologicheskih i populjacionno-ontogeneticheskih osobennostej lekarstvennogo rastenija Melilotus officinalis (L.) Pall [Assessment of morphological, ecological and population-ontogenetic features of a medicinal plant Melilotus officinalis (L.) Pall]. Acta medica Eurasica, 3, 40–49 (in Russian).
18. Zubtsova, I. V., & Skliar, Iu. L. (2017). Struktura flori dejakih grup roslin regіonal'nogo landshaftnogo parku «Sejms'kij» [Structure of the Flora of Some Groups of Plants of the Regional Landscape Park «Seimskyі»]. Lesya Ukrainka Eastern European National University Scientific Bulletin. Series: Biological Sciences, 13(362), 39–44 (in Ukrainian).
19. Andrіenko, T. L. (2001). Zapovіdnі skarbi Sumshhini [Protected treasures of Sumy region]. Dzherelo, Sumi (in Ukrainian).
20. Zubtsova, І. (2017). Vіtalіtetna struktura cenopopuljacіj Potentilla erecta (L.) Raeusch. na zaplavnih lukah Krolevec'ko-Gluhіvs'kogo geobotanіchnogo rajonu [Vitality structure of Potentilla erecta (L.) Raeusch. cenopopulations’ in Krolevets-Hlukhiv geobotanical region]. Vіsnik L'vіvs'kogo unіversitetu. Serіja bіologіchna, 76, 112–119 (in Ukrainian).
21. Metody polevogo izuchenija lekarstvennyh rastenij (2007). [Methods of field study of medicinal plants]. Izdatel'skij centr «Nauka», Saratov (in Russian).
22. Zlobin, Yu. A. (1989). Principy i metody izuchenija cenopopuljacij rastenij [Principles and methods for studying plant coenopopulations]. Kazan University Press, Kazan (in Russian).
23. Тsarenko, O. M., Zlobin, Yu. A., Skliar, V. H., & Panchenko, S. M. (2000). Kompiuterni metody v silskomu hospodarstvi ta biolohii [Computer methods in agriculture and biology]. Universytetska knyha, Sumy (in Ukrainian).
24. Karmanova, I. V. (1976). Matematicheskiye metody izucheniya rosta i produktivnosti rasteniy [Mathematical methods for studying plant growth and productivity]. Nauka, Moskva (in Russian).
25. Hunt, R. (1978). Plant growth analysis. Arnold, London.