EventsThe 4th International Electronic Conference on Agronomy
Published
This submission belongs to the session S3. Sustainable Soil Management and Farming Systems of the event The 4th International Electronic Conference on Agronomy
Published date
02 Dec, 2024
Academic Editor
author-avatarMirza Hasanuzzaman
Citation
Ronald Kuunya, Magdoline Mustafa Ahmed, Akasairi Ocwa, András Tamás, Péter Ragán, Examining the correlation between the consolidation coefficient and impact value of dry humus-rich surface soils, in Proceedings of The 4th International Electronic Conference on Agronomy, 2 December–5 December 2024, MDPI: Basel, Switzerland
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Examining the correlation between the consolidation coefficient and impact value of dry humus-rich surface soils

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1. Institute of Land Use, Engineering and Precision Farming Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 138 Böszörményi street, 4032, Debrecen, Hungary., Hungary
2. 1. Institute of Land Use, Engineering and Precision Farming Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 138 Böszörményi street, 4032, Debrecen, Hungary. 2. Environment, Natural Resources and, Hungary
Abstract

Humus-rich soils are vital to arable farming, particularly in regions like Central and Eastern Europe, where they dominate the uppermost soil layers. These soils are characterised by their loose structure, which supports crop growth, but they are also vulnerable to degradation due to soil mechanics such as the consolidation coefficient (CV) and impact value (IV). These factors affect soil particle firmness, structure, and nutrient availability. Despite their importance, the correlation between CV and IV has not been sufficiently studied. This research aimed to investigate the relationship between these two variables. An experiment was conducted at Látókép Experimental Station (Debrecen, Hungary) using a calibrated EM38 sensor mounted on a metal-free sledge. The sensor was towed across a dry, non-irrigated plot, recording 1,443 soil conductivity readings at a depth of 0.5 m. The plot’s elevation averaged 118 m, with coordinates of 21.44681° longitude and 47.55311° latitude. The collected data were analysed using Excel, Past4.11, and MedCal Statistical Software, with a predetermined null hypothesis significance level of p ≥ 0.05. The results revealed a skewness range from -0.747 to 0.185 and a p-value of 0.0001, indicating a strong correlation between CV and IV. The p-value suggested that the null hypothesis could be rejected, supporting the existence of a significant relationship. Conclusively, CV and IV are closely related in humus-rich soils, and their concurrent measurement is essential when using EM38 sensors. This will help improve the understanding of soil consolidation, providing valuable insights for maintaining soil health and optimising agricultural productivity.

Keywords
humus
sensor
soil conductivity
coefficient
impact value
soil mechanics
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