The properties of dark-gray podzolized soil and precision agriculture

Authors

DOI:

https://doi.org/10.32636/01308521.2025-(78)-2-1

Keywords:

humus, acidity, nitrogen, phosphorus, potassium, precision fertilization, yield

Abstract

The variability of physical and agrochemical properties of soils of the Western Forest-Steppe necessitates differentiated dosage of fertilizer for agricultural crops not only between their soil varieties, but also within one field, on which, as a rule, there is one soil variety. The reason for this is the facies variegation of the granulometric composition, their acid-base properties, the content of organic matter and labile biogenic elements. Within one field of dark-gray podzolized coarse-dusty light-loamy soil in the "Vyriv" department of "CFG TRADING" LLC, we found variability of analytical results from 4.25 to 26.8 % for seven indicators. The calculated pair correlation coefficients for these indicators ranged from very close to weak and absent. The humus content in the arable layer varied from 2.7 to 4.0 % (coefficient of variation 11.35 %). The variation of available nitrogen reserves in the soil was the smallest among other indicators (from 112 to 133 mg/kg of soil; coefficient of variation
5.2 %). A moderate correlation of readily hydrolysable nitrogen content with humus content was determined, but in a range similar to humus, the phosphate resource in the soil varied, but only a noticeable direct relationship was established between these indicators across plots. Exchangeable potassium reserves in twelve plots varied almost threefold, which exceeded the variability of all other indicators (from 50.2 to 138.0 mg/kg; coefficient of variation 22.3 %). The
3B-modeling method in the STATISTICA-12 program established a strong interaction of pH and hydrolytic acidity in the synergistic effect on the cation exchange capacity. The humus content with cation exchange capacity and hydrolytic acidity jointly strongly influenced the increase in the content of easily hydrolyzed nitrogen in the arable layer. Based on the soil map in digital format, we constructed cartograms with contours for six soil indicators. The precision farming system involves installing an electronic field cartogram in the computer memory as well as the units for precise application of nitrogen, phosphorus, potassium or ameliorants, according to the variegation of the field.

References

1. Гнатів П. С., Стасів О. Ф. Системний аналіз та агроекосистеми : наукова монографія. Оброшине, 2025. 414 с. https://doi.org/10.32636/9786178433079/2

2. Agrochemical analysis of soils in precision farming technologies: a case study of the Chernihiv region / V. Zatserkovnyi et al. Visnyk of Taras Shevchenko National University of Kyiv Geology. 1 (1 (108)): 85‒93. https://doi.org/10.17721/1728-2713.108.12.

3. Analysis of Soil and Crop Properties for Precision Agriculture for Winter Wheat / E. Vrindts et al. Biosyst. Eng. 2003. Vol. 85. Issue 2. P. 141–152. https://doi.org/10.1016/S1537-5110(03)00040-0.

4. Association of Equipment Manufacturers. U. S. Precision Agriculture Study Unveiled by AEM, Ag Organizations. (2021, February 1). https://newsroom.aem.org.

5. Austin R., Gatiboni L. & Havlin J. Soil Sampling Strategies for Site-specific Field Management. NC State Extension Publications. 2020. https://content.ces.ncsu.edu/.

6. Blackmore S., Godwin R. J. & Fountas S. The Analysis of Spatial and Temporal Trends in Yield Map Data over Six Years. Biosyst. Eng. 2003, 84, 455–466. https://www.researchgate.net/publication/268200460_The_Analysis_of_Spatial_and_Temporal_Trends_in_Yield_Map_Data_over_Six_Years.

7. Burt R. Soil Survey Laboratory Methods Manual; Soil Survey Investigation Report No. 42, Version 4.0; USDA-NRCA: Lincoln, NE, USA, 2004. https://www.scirp.org/reference/referencespapers?referenceid=1870687.

8. Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives? / F. Van Evert et al. Sustainability. 2017, 9 (10), 1863. https://doi.org/10.3390/su9101863.

9. Comprehensive analysis on soil nitrogen prediction using near-infrared spectroscopy: Models, methods, and insights for precision agriculture / X. Wang et al. Results in Chemistry. 2025. Vol. 16. 102416. https://doi.org/10.1016/j.rechem.2025.102416.

10. Dynamics of the forms of nutrient nitrogen in Greyic Luvic Phaeozem when regulating their resources with fertilizers and nitrapyrin applied to winter barley / V. Shestak et al. Journal of Elementology. 2023. 28 (1). P. 41‒58. https://doi.org/10.5601/jelem.2023.28.1.2352.

11. Evaluation of In-Season Management Zones from High-Resolution Soil and Plant Sensors / M. Corti et al. Agronomy. 2020, 10, 1124. https://doi.org/10.3390/agronomy10081124.

12. Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers / A. P. Barnes et al. Land Use Policy. 2019. V. 80. P. 163‒174. https://doi.org/10.1016/j.landusepol.2018.10.004.

13. Gajda A. M., Czyż E. A. & Dexte A. R. Effects of long-term use of different farming systems on some physical, chemical and microbiological parameters of soil quality. Int. Agrophys., 2016, 30 (2). 165‒172. https://doi.org/10.1515/intag-2015-0081.

14. Nitrogen transformations in modern agriculture and the role of biological nitrification inhibition / D. Coskun et al. Nat. Plants. 2017. 3: 17074. https://doi.org/10.1038/nplants.2017.74.

15. Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics / A. Balafoutis et al. 2017. Sustainability. 2017. 9, 1339. https://doi.org/10.3390/su9081339.

16. Precision Agriculture Techniques and Practices: From Considerations to Applications / U. Shafi et al. Sensors 2019, 19 (17), 3796. https://doi.org/10.3390/s19173796.

17. Precision Agriculture: Terms And Definitions. 2015. URL: https://www.globalagtechinitiative.com/market-watch/precision-agriculture-terms-and-definitions/.

18. Protocol for multivariate homogeneous zone delineation in precision agriculture / M. A. Córdoba et al. Biosyst. Eng. 2016, 143, 95–107. https://doi.org/10.1016/j.biosystemseng.2015.12.008.

19. Rodrigues M. S. & Cora J. E. Management zones using fuzzy clustering based on spatial-temporal variability of soil and corn yield. Engenharia Agrícola. 2015, 35, 470–483. https://doi.org/10.1590/1809-4430-Eng.Agric.v35n3p470-483/2015.

20. Singh B., Caughman W. & Park D. Precision Agriculture-based Soil Sampling Strategies. Land-Grant Press by Clemson Extension. 2020. https://doi.org/10.13140/RG.2.2.29242.41921.

21. Spatial variability of physical and chemical soil properties in a field and commune scale / B. Usowicz et al. Acta Agrophys. 2004. 3 (103), 1‒90. http://www.acta-agrophysica.org/pdf-145930-71946?filename=Spatial%20variability%20of.pdf.

22. Stakeholder Perspectives to Prevent Soil Organic Matter Decline in Northeastern Italy / N. D. Ferro et al. 2020. Sustainability. 2020, 12 (1). 378. https://doi.org/10.3390/su12010378.

23. Stoorvogel J. J., Kooistra L. & Bouma J. Managing Soil Variability at Different Spatial Scales as a basis for precision agriculture. In book: Soil-Specific Farming: Precision Agriculture ; Edition: Advances In Soil Science. Chapter: 2. Publisher: CRC Press. Editors: R. Lal, B. A. Stewart. 2015. P. 37–72. https://doi.org/10.1201/b18759-3.

24. U. S. Government Accountability Office. Precision Agriculture: Benefits and Challenges for Technology Adoption and Use. Full report GAO-24-105962. 2024. P. 1–80. https://www.gao.gov/products/gao-24-105962.

25. Usowicz B. & Lipiec J. Spatial variability of soil properties and cereal yield in a cultivated field on sandy soil. Soil and Tillage Research. 2017. Vol. 174: 241‒250. https://doi.org/10.1016/j.still.2017.07.015.

26. Variability of soil properties in an intensively cultivated experimental field / B. Galka et al. Soil Science Annual. 2016. Vol. 67. No. 1. P. 10–16. https://doi.org/10.1515/ssa-2016-0002.

27. Ward, R. C. (n.d.). Figure 3–1: Four Relationships between Broadcast and Band Phosphorus. In Ward Guide. Ward Laboratories. Retrieved February 16, 2025. P. 80–81. https://www.wardlab.com/.

28. Zarco-Tejada P.J., Hubbard N., Loudjani P. Precision Agriculture: An Opportunity for E. U. Farmers ‒ Potential Support with the CAP 2014–2020. Joint Research Centre (JRC) of the European Commission, Monitoring Agriculture Resources (MARS) Unit H04. 2014. https://www.europarl.europa.eu/thinktank/en/document/IPOL-AGRI_NT(2014)529049.

Published

2025-12-30

Issue

Section

AGRICULTURE AND PLANT GROWING

How to Cite

Petro HNATIV, Yuriy PITSYK, Viktor IVANIUK, Oksana KACHMAR, & Mariia SHCHERBA. (2025). The properties of dark-gray podzolized soil and precision agriculture. Foothill and Mountain Agriculture and Stockbreeding, 78(2), 7-19. https://doi.org/10.32636/01308521.2025-(78)-2-1

Similar Articles

1-10 of 281

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

1 2 > >>