Márton Vona
18134847100
Publications - 5
Effect of pH, Carbonate and Clay Content on Magnesium Measurement Methods on Hungarian Soils
Publication Name: Soil Systems
Publication Date: 2024-06-01
Volume: 8
Issue: 2
Page Range: Unknown
Description:
More exact information on soil nutrient management is crucial due to environmental protection, nature conservation, decreasing sources for mining, general precaution, etc. Soil magnesium (Mg) analytical methods of potassium chloride (KCl), Mehlich 3 (M3), water (WA) and cobalt hexamine (CoHex) extractions are compared with an elemental analysis and X-ray fluorescence (XRF) analysis. The ratio of the available to the total Mg content was calculated and compared on the whole dataset. The results showed that the linear regressions between all the pairs of Mg content measurement methods were significant. The linear relationship between the KCl and CoHex methods has the highest determination coefficient (R2 = 0.96), followed by WA–M3 (R2 = 0.68), M3–CoHex (R2 = 0.66) and M3–KCl (R2 = 0.60). The M3 solution demonstrated a greater capacity for extracting Mg from the soil. The second part is the analysis of the influence of CaCO3 , pH, soil texture and clay content on the measurable magnesium content of soils. It was established that the extraction methods, the soil and the classification method of the soil properties affect the evaluation. These results may help through the nutrient replenishment and the melioration of soils. These results can help the examination of mineral nutrients, especially the Mg uptake.
Open Access: Yes
Challenges in Mapping Soil Variability Using Apparent Soil Electrical Conductivity under Heterogeneous Topographic Conditions
Publication Name: Agronomy
Publication Date: 2024-06-01
Volume: 14
Issue: 6
Page Range: Unknown
Description:
Site-specific management requires the identification of treatment areas based on homogeneous characteristics. This study aimed to determine whether soil mapping based on apparent soil electrical conductivity (ECa ) is suitable for mapping soil properties of fields with topographic heterogeneity. Research was conducted on two neighbouring fields in Fejér county, Hungary, with contrasting topographic heterogeneity. To characterise the spatial variability of soil attributes, ECa was measured and supplemented by obtaining soil samples and performing soil profile analysis. The relationship between ECa and soil physical and chemical properties was analysed using correlation, principal component, and regression analyses. The research revealed that the quality and strength of the relationship between ECa and soil remarkably differed in the two studied fields. In homogeneous topographic conditions, ECa was weakly correlated with elevation as determined by soil physical texture and nutrient content in a strong (R2 = 0.72) linear model. On the other hand, ECa was significantly determined by elevation in heterogeneous topographic conditions in a moderate (R2 = 0.47) linear model. Consequently, ECa -based soil mapping can only be used to characterise the soil, thus delineating management zones under homogeneous topographic conditions.
Open Access: Yes
The effect of local samples in the accuracy of mid-infrared (MIR) and X-ray fluorescence (XRF) -based spectral prediction models
Publication Name: Precision Agriculture
Publication Date: 2022-12-01
Volume: 23
Issue: 6
Page Range: 2027-2039
Description:
Within the soil spectroscopy community, there is an ongoing discussion addressing the comparison of the performance of prediction models built on a global calibration database, versus a local calibration database. In this study, this issue is addressed by spiking of global databases with local samples. The soil samples were analysed with MIR and XRF sensors. The samples were further measured using traditional wet chemistry methods to build the prediction models for seventeen major parameters. The prediction models applied by AgroCares, the company that assisted in this study, combine spectral information from MIR and XRF into a single ‘fused-spectrum’. The local dataset of 640 samples was split into 90% train and 10% test samples. To illustrate the benefits of using local calibration samples, three separate prediction models were built per element. For each model, 0%, 50% (randomly selected) and 100% of the local training samples were added to the global dataset. The remaining 10% local samples were used for validation. Seventeen soil parameters were selected to illustrate the differences in performance across a range of soil qualities, using the validation set to measure performance. The results showed that many models already exhibit an excellent level of performance (R2 ≥ 0.95) even without local samples. However, there was a clear trend that, as more local calibration samples were added, both R2 and ratio of performance to interquantile distance (RPIQ) increase.
Open Access: Yes
Comparing Different Phosphorus Extraction Methods: Effects of Influencing Parameters
Publication Name: Sustainability Switzerland
Publication Date: 2022-02-01
Volume: 14
Issue: 4
Page Range: Unknown
Description:
The current study compares the phosphorus (P) analysis methods of ammonium lactate (AL), Mehlich 3 (M3); water extraction (P-WA(P)&P-WA(PO4 )), cobalt hexamine (CoHex) and X-ray fluorescence (XRF) as an estimate of total soil P. The ratio of the P-content/XRF was first calculated and compared with the whole dataset. Based on the comparison of all the data, there were significant differences between the results of P-WA(P) and P-WA(PO4 ) vs. M3 and AL, CoHex vs. M3 and CoHex vs. AL methods (p < 0.001). The second step was the analysis of the influencing factors based on their categories for a more in-depth understanding of their role (CaCO3 -content, pH, soil texture and clay content). The results showed that higher CaCO3 content (>1%) resulted in lower correlations (6/10 cases). The extraction methods, the soil, the classification method of the soil properties and the statistical analyses affect the evaluation. The dataset covers a good range of the analysed factors for the evaluation of phosphorus in the majority of Hungarian soil types in arable use. There were two methods that detected the largest amount of P from the total P in the soil: AL and M3.
Open Access: Yes
DOI: 10.3390/su14042158
Past-present-future in hungarian soil analyses
Publication Name: Agrokemia Es Talajtan
Publication Date: 2020-12-01
Volume: 69
Issue: 1
Page Range: 127-151
Description:
The purpose of the present paper isAuthors aim was to deliver a compilation of to summarize the Hungarian soil analysies methods and theas well as to present the advisory system for nutrient management advisory system. Both of them are based on several decades of work. We need to should learn from these past experiences of reasonable and good agricultural practices. We can only apply the present and future results of soil science and find out what direction should we develop, if we were aware of the results of the past and we calculate with their governing effects. The majority of our recent methods are based on historical researches and the present current statesituation of our field of scientific fieldce can only be judged and developed further if we knew the former history of the methodological findings. The recent Hungarian soil analysis system provides useful results that can be used very well today, however, the adaptation of the new international methods, learned from the follow-up of the international trends can might provide open new perspectives in for the Hungarian laboratory analyses methodology. TThe subject is extremely timely because there are hea never- met demand for cost and time effective, environmentally friendly soil analysis methods underpin how actual and hot the topic is. nowadays.
Open Access: Yes
