Effects of fertilization on nutrient accumulation in black locust (Robinia pseudoacacia L.) leaves: results of an experiment in Tápiószele

Benke Attila; Toldi Valter; Süle Tamás; Bereczki Katalin

Bulletin of Forestry Science / Volume 14 / Issue 2 / Pages 15-16
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Effects of fertilization on nutrient accumulation in black locust (Robinia pseudoacacia L.) leaves: results of an experiment in Tápiószele

Attila Benke, Valter Toldi, Tamás Süle & Katalin Bereczki

Correspondence

Correspondence: Benke Attila

Postal address: H-9600 Sárvár, Várkerület 30/A.

e-mail: benke.attila[at]uni-sopron.hu

Abstract

The basis of plantation forestry under often marginal environmental conditions is the use of varieties that can utilize the limited ecological conditions. In our research, the nutrient utilization capacity of different black locust clones (OBE01, OBE34, OBE53, OBE69) was investigated based on the nutrient content of their foliage. In the experimental plantation, which was established in poor sandy soil, different nutrient supplementation treatments were applied. Element utilization was evaluated based on leaf nitrogen, phosphorus, potassium, iron, manganese, copper, zinc and nickel contents, while the effect of each treatment on leaf element content was analyzed by calculating modified z-scores. Generally, the pure chemical fertilizer treatment had a predominantly negative effect on the macro- and microelement uptake of black locust clones (13 significantly negative and five positive relationships), compared to the treatments including organic fertilizer, which showed a predominantly positive effect (12 significantly negative and 27 positive relationships). Among the clones, the element uptake of OBE53 showed the strongest relationship with fertilizer applications.

Keywords: black locus, fertilization, z-score, macro- and micronutrients, nutrient utilization

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Ábri T., Keserű Z., Borovics A., Rédei K. & Csajbók J. 2022: Comparison of Juvenile, Drought Tolerant Black Locust (Robinia pseudoacacia L.) Clones with Regard to Plant Physiology and Growth Characteristics in Eastern Hungary: Early Evaluation. Forests 13(2). DOI: 10.3390/f13020292

Ågren G.I. 2008: Stoichiometry and Nutrition of Plant Growth in Natural Communities. Annual Review of Ecology, Evolution, and Systematics 39: 153–170. DOI: 10.1146/annurev.ecolsys.39.110707.173515

Ågren G.I. & Weih M. 2012: Plant stoichiometry at different scales: Element concentration patterns reflect environment more than genotype. New Phytologist 194(4): 944–952. DOI: 10.1111/j.1469-8137.2012.04114.x

Nemzeti Földügyi Központ Erdészeti Főosztály 2023: Magyarország erdeinek összefoglaló adatai 2022. https://nfk.gov.hu/Magyarorszag_erdeivel_kapcsolatos_adatok_news_513

Bartha D., Csiszár Á. & Zsigmond V. 2008: Black locust (Robinia pseudoacacia L.). In: Botta-Dukát Z. and Balogh L. (eds.): The most important invasive plants in Hungary. Institute of Ecology and Botany Hungarian Academy of Sciences, Vácrátót, 63–76.

Bedbabis S., Ferrara G., Ben Rouina B. & Boukhris M. 2010: Effects of irrigation with treated wastewater on olive tree growth, yield and leaf mineral elements at short term. Scientia Horticulturae 126(3): 345–350. DOI: 10.1016/j.scienta.2010.07.020

Boshkovski B., Tzerakis C., Doupis G., Zapolska A., Kalaitzidis C. & Koubouris G. 2020: Relationships of Spectral Reflectance with Plant Tissue Mineral Elements of Common Bean (Phaseolus vulgaris L.) Under Drought and Salinity Stresses. Communications in Soil Science and Plant Analysis 51(5): 675–686. DOI: 10.1080/00103624.2020.1729789

Brewster R. 2023: Paint.net (Version 5.0.3) [C#, C++, C++/CLI]. https://getpaint.net/

Chen R., Zhu J., Zhao J., Shi X., Shi W., Zhao Y. et al. 2023: Relationship between Leaf Scorch Occurrence and Nutrient Elements and Their Effects on Fruit Qualities in Chinese Chestnut Orchards. Forests 14(1). DOI: 10.3390/f14010071

Dehelean A., Cristea G., Balazs Z., Magdas D. A., Feher I., Voica C. & Puscas R.H. 2019: Macro- and Microelemental Distribution in Phaseolus Vulgaris L. Tissue Irrigated with Water with Varying Isotopic Compositions. Analytical Letters 52(1): 111–126. DOI: 10.1080/00032719.2018.1431655

Gu Z., Eils R. & Schlesner M. 2016: Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 32(18): 2847–2849. DOI: 10.1093/bioinformatics/btw313

Hančević K., Radić T., Pasković I. & Urlić B. 2018: Biochemical and physiological responses to long-term Citrus tristeza virus infection in Mexican lime plants. Plant Pathology 67(4): 987–994. DOI: 10.1111/ppa.12799

Houdegbe A.C., Achigan-Dako E.G., Sogbohossou E.O.D., Schranz M.E., Odindo A.O. & Sibiya J. 2022: Leaf elemental composition analysis in spider plant [Gynandropsis gynandra L. (Briq.)] differentiates three nutritional groups. Frontiers in Plant Science 13. DOI: 10.3389/fpls.2022.841226

Keresztesi B. 1983: Breeding and cultivation of black locust, Robinia pseudoacacia, in Hungary. Forest Ecology and Management 6(3): 217–244. DOI: 10.1016/S0378-1127(83)80004-8

Kruskal W.H. & Wallis W.A. 1952: Use of Ranks in One-Criterion Variance Analysis. Journal of the American Statistical Association 47(260): 583–621. DOI: 10.1080/01621459.1952.10483441

Lê S., Josse J. & Husson F. 2008: FactoMineR: An R Package for Multivariate Analysis. Journal of Statistical Software 25(1). DOI: 10.18637/jss.v025.i01

Lett B. 2021: Amit a számok mutatnak – Az erdőtelepítések tapasztalatai 1920–2020. Soproni Egyetem Kiadó, Sopron. http://publicatio.uni-sopron.hu/2169/1/EVGI_kozlemenyek_15_ASZM_Erdotelepitesek_tapasztalat_egyben.pdf

Lett B., Horváth S. & Fülöp V.G. 2020: Amit a számok mutatnak az akácról Az akácgazdálkodás szerepe a magyar erdőgazdálkodásban. Soproni Egyetem Kiadó, Sopron. http://publicatio.uni-sopron.hu/1957/1/EVGK_13_Akacgazdalkodas_szerepe_a_magyar_erdogazdalkodasban.pdf

Li Y., Song H., Zhou L., Xu Z. & Zhou G. 2019: Vertical distributions of chlorophyll and nitrogen and their associations with photosynthesis under drought and rewatering regimes in a maize field. Agricultural and Forest Meteorology 272–273: 40–54. DOI: 10.1016/j.agrformet.2019.03.026

Ma C., Zhang W., Wu M., Xue Y., Ma L. & Zhou J. 2013: Effect of aboveground intervention on fine root mass, production, and turnover rate in a Chinese cork oak (Quercus variabilis Blume) forest. Plant and Soil 368(1): 201–214. DOI: 10.1007/s11104-012-1512-0

Németh J., Pogrányi K., Horváth S. & Németh M. 2022: Új akác fajtákkal létesített ültetvények a fenntartható jövőért. https://fataj.hu/wp-content/uploads/2022/05/AKAC_Silvanus_HU.pdf

Oliveira S.R., Gomes Neto J.A., Nóbrega J.A. & Jones B.T. 2010: Determination of macro- and micronutrients in plant leaves by high-resolution continuum source flame atomic absorption spectrometry combining instrumental and sample preparation strategies. Spectrochimica Acta Part B: Atomic Spectroscopy 65(4): 316–320. DOI: 10.1016/j.sab.2010.02.003

Pearson K. 1901: LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 2(11): 559–572. DOI: 10.1080/14786440109462720

R Core Team. 2022: R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org/

Shapiro S.S. & Wilk M.B. 1965: An Analysis of Variance Test for Normality (Complete Samples). Biometrika 52: 591–611.

Tinkov A.A., Nemereshina O.N., Suliburska J., Gatiatulina E.R., Regula J., Nikonorov A.A. & Skalny, A.V. 2016: Comparative Analysis of the Trace Element Content of the Leaves and Roots of Three Plantago Species. Biological Trace Element Research 173(1): 225–230. DOI: 10.1007/s12011-016-0626-2

Wang M., Li G. & Liu Y. 2022: Nursery fertilization affected field performance and nutrient resorption of Populus tomentosa Carr. Ploidy levels. iForest - Biogeosciences and Forestry 15(1): 16–23. DOI: 10.3832/ifor3912-014

Wang Z., Xia C., Yu D. & Wu Z. 2015: Low-temperature induced leaf elements accumulation in aquatic macrophytes across Tibetan Plateau. Ecological Engineering 75: 1–8. DOI: 10.1016/j.ecoleng.2014.11.015

Watanabe T., Broadley M.R., Jansen S., White P.J., Takada J., Satake K. et al. 2007: Evolutionary control of leaf element composition in plants. New Phytologist 174(3): 516–523. DOI: 10.1111/j.1469-8137.2007.02078.x

Wickham H. 2016: ggplot2: Elegant Graphics for Data Analysis (2nd ed. 2016). Springer-Verlag GmbH, Heidelberg. DOI: 10.1007/978-3-319-24277-4

Wickham H., François R., Henry L., Müller K. & Vaughan D. 2023: dplyr: A Grammar of Data Manipulation (Version 1.1.2). https://cran.r-project.org/web/packages/dplyr/index.html

Wilcoxon F. 1945: Individual Comparisons by Ranking Methods. Biometrics Bulletin 1(6): 80–83. DOI: 10.2307/3001968

Yan Z., Hou X., Han W., Ma S., Shen H., Guo Y. et al. 2019: Effects of nitrogen and phosphorus supply on stoichiometry of six elements in leaves of Arabidopsis thaliana. Annals of Botany 123(3): 441–450. DOI: 10.1093/aob/mcy169

Yang H. 2018: Effects of nitrogen and phosphorus addition on leaf nutrient characteristics in a subtropical forest. Trees 32(2): 383–391. DOI: 10.1007/s00468-017-1636-1

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Benke, A., Toldi, V., Süle, T. & Bereczki, K. (2024): Effects of fertilization on nutrient accumulation in black locust (Robinia pseudoacacia L.) leaves: results of an experiment in Tápiószele. Bulletin of Forestry Science, 14(2): 15-16. (in Hungarian) DOI: 10.17164/EK.2024.08

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Volume 14, Issue 2
Pages: 15-16

DOI: 10.17164/EK.2024.08

First published:
14 January 2025

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