Sustainable weeds management in maize cultivation: Evaluating agroecological practices and tillage systems

Ihor Bezvershuck, Tetiana Fedoniuk
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Abstract

The study evaluated the effectiveness of agroecological approaches to weed control in maize crops. The experiment, conducted in 2023-2024, included three tillage systems (deep ploughing, disking, milling), two seeding densities (1.1 seeding units/ha and 1.3 seeding units/ha), and two herbicide control approaches (herbicide application and non-application), with a total of 12 variants in 36 replications. The largest weed level was recorded in the variant with disking, low seeding density, and no herbicides (S2H2A1) – 22.3 plants/m2 ; the lowest – in the variant with ploughing, high seeding density, and herbicide use (S1H1A2) – 12 plants/m2 . Variants with compacted sowing, regardless of herbicide exposure, demonstrated a better ability to suppress weeds due to rapid closing of row spacings and reduced light access. Analysis of variance (ANOVA) showed that the greatest influence on the number of weeds was soil cultivation (F = 95.28; p < 0.0001), followed by sowing density (F = 29.06; p < 0.000001), while the contribution of herbicides was the smallest (F = 5.37; p ≈ 0.021). The significant interaction between the cultivation system and density (F = 62.85; p < 0.000001) reflected the need for comprehensive planning of agrotechnical measures. Cluster analysis based on the Jaccard index revealed strong ecological relationships between weed species, specifically, C. arvensis, E. repens, and R. sativum had a similarity coefficient of 0.92, which allows predicting typical phytosocial combinations and developing targeted control measures. The  findings indicated that agroecological strategies, including shallow tillage and compacted seeding, can successfully replace chemical methods, reducing the environmental burden and maintaining productivity stability. The practical value of this study lies in the proven possibility of minimising herbicide use while maintaining high maize yields by implementing adapted agrotechnical solutions

Keywords

agroecology; weed management; Zea mays L.; tillage systems; soil fertility; herbicide alternatives; plant productivity

  1. Boutagayout, A., El Bouiamrine, H., Synowiec, A., El Oihabi, K., Romero, P., Rhioui, W., Nassiri, L., & Belmalha, S. (2025). Agroecological practices for sustainable weed management in Mediterranean farming landscapes. Environment, Development and Sustainability, 27, 8209-8263. doi: 10.1007/s10668-023-04286-7.
  2. Colbach, N., Chauvel, B., Klompe, K., Ruggeri, M., Sønderskov, M., & de Wolf, P. (2025). Evaluating and identifying the drivers of sustainability of integrated weed management systems in three European case studies with in silico tools. European Journal of Agronomy, 170, article number 127736. doi: 10.1016/j.eja.2025.127736.
  3. Convention on Biological Diversity. (1992, June). Retrieved from https://zakon.rada.gov.ua/laws/ show/995_030#Text.
  4. Cordeau, S. (2022). Conservation agriculture and agroecological weed management. Agronomy, 12(4), article number 867. doi: 10.3390/agronomy12040867.
  5. Determination of the actual weediness of crops. (n.d.). Retrieved from https://agroscience.com.ua/herba/43vyznachennya-faktychnoi-zaburyanenosti-posiviv.
  6. DSTU 4289:2004. (2005). Soil quality. Methods of determination of organic matter. Retrieved from https://online. budstandart.com/ua/catalog/doc-page.html?id_doc=56400.
  7. DSTU 4730:2007. (2008). Quality of soil. Determination of granulometric composition by the pipettemethod for modification AN Kaczynski. Retrieved from https://online.budstandart.com/ua/catalog/doc-page?id_doc=95597.
  8. DSTU ISO 11272-2001. (2002). Soil quality. Determination of bulk density on dry mass (ISO 11272:1998, IDT). Retrieved from https://online.budstandart.com/ua/catalog/doc-page?id_doc=58941.
  9. Erenstein, O., Chamberlin, J., & Sonder, K. (2021). Estimating the global number and distribution of maize and wheat farms. Global Food Security, 30, article number 100558. doi: 10.1016/j.gfs.2021.100558.
  10. Fedoniuk, T., Zhuravel, S., Kravchuk, M., Pazych, V., & Bezvershuck, I. (2024). Historical sketch and current state of weed diversity in continental zone of Ukraine. Agriculture and Natural Resources, 58(5), 631-642. doi: 10.34044/j.anres.2024.58.5.10.
  11. Fedoniuk, T.P., Pyvovar, P.V., Topolnytskyi, P.P., Rozhkov, O.O., Kravchuk, M.M., Skydan, O.V., Pazych, V.M., & Petruk, T.V. (2025). Utilising remote sensing data to ascertain weed infestation levels in maize fields. Agriculture, 15(7), article number 711. doi: 10.3390/agriculture15070711.
  12. Fonteyne, S., Leal Gonzalez, A.J., Osorio Alcalá, L., Villa Alcántara, J., Santos Rodriguez, C., Núñez Peñaloza, O., Ovando Galdámez, J.R., Gopal Singh, R., & Verhulst, N. (2022). Weed management and tillage effect on rainfed maize production in three agro-ecologies in Mexico. Weed Research, 62(3), 224-239. doi: 10.1111/wre.12530.
  13. Handbook of Weed Management. (2024). Retrieved from https://cordis.europa.eu/project/id/101084084/ results.
  14. ISO 18400-201. (2017). Soil quality – Sampling – Part 201: Physical pretreatment in the field. Retrieved from https://surl.li/xsfqxw.
  15. IUSS Working Group WRB. (2022). Retrieved from https://www.isric.org/sites/default/files/WRB_fourth_ edition_2022-12-18.pdf.
  16. Leskovšek, R., Eler, K., & Zamljen, S.A. (2025). Weed suppression and maize yield influenced by cover crop mixture diversity and tillage. Agriculture, Ecosystems & Environment, 383, article number 109530. doi: 10.1016/j. agee.2025.109530.
  17. Liu, S., Ma, Z., Zhang, Y., Chen, Z., Du, X., & Mu, Y. (2022). The impact of different winter cover crops on weed suppression and corn yield under different tillage systems. Agronomy, 12(5), article number 999. doi: 10.3390/ agronomy12050999.
  18. Mandić, V., Đorđević, S., Brankov, M., Živković, V., Lazarević, M., Keškić, T., & Krnjaja, V. (2024). Response of yield formation of maize hybrids to different planting densities. Agriculture, 14(3), article number 351. doi: 10.3390/ agriculture14030351.
  19. Nthebere, K., Tata, R., Bhimireddy, P., Chandran, L. P., Gudapati, J., Admala, M., Sinha, N.K., Srikanth, Th.B., & Prasad, K. (2025). Impact of conservation agriculture on soil quality and cotton-maize system yield in SemiArid India. Sustainability, 17(3), article number 978. doi: 10.3390/su17030978.
  20. Orlov, O.O., Fedoniuk, T.P., Iakushenko, D.M., Danylyk, I.M., Kish, R.Ya., Zimaroieva, A.A., & Khant, G.A. (2021). Distribution and ecological growth conditions of Utricularia australis R. Br. in Ukraine. Journal of Water and Land Development, 48(I–III), 32-47. doi: 10.24425/jwld.2021.136144.
  21. Radicetti, E., & Mancinelli, R. (2021). Sustainable weed control in the agro-ecosystems. Sustainability, 13(15), article number 8639. doi: 10.3390/su13158639.
  22. Schnee, L., Sutcliffe, L.M.E., Leuschner, C., & Donath, T.W. (2023). Weed seed banks in intensive farmland and the influence of tillage, field position, and sown flower strips. Land, 12(4), article number 926. doi: 10.3390/ land12040926.
  23. Selvakumar, S., & Ariraman, R. (2022). Effect of tillage on weed shift and its managements: A review. Agricultural Reviews, 44(3), 364-369. doi: 10.18805/ag.R-2223.
  24. Sharma, N., & Rayamajhi, M. (2022). Different aspects of weed management in maize (Zea mays L.): A brief review. Advances in Agriculture, 2022(1), article number 7960175. doi: 10.1155/2022/7960175.
  25. Skydan, O.V., Dankevych, V.Y., Fedoniuk, T.P., Dankevych, Y.M., & Yaremova, M.I. (2022). European green deal: Experience of food safety for Ukraine. International Journal of Advanced and Applied Sciences, 9(2), 63-71.doi: 10.21833/IJAAS.2022.02.007.
  26. Thapa, B., & Dura, R. (2024). A review on tillage system and no-till agriculture and its impact on soil health. Archives of Agriculture and Environmental Science, 9(3), 612-617. doi: 10.26832/24566632.2024.0903028.
Bezvershuck, I., & Fedoniuk, T. (2025). Sustainable weeds management in maize cultivation: Evaluating agroecological practices and tillage systems. Scientific Horizons, 28(7), 22-33. https://doi.org/10.48077/scihor7.2025.22