Monitoring of agriculture soils in the Czech Republic.

Environ Monit Assess

State Agriculture Checking and Testing Institute Brno, Hroznová 2, 656 06, Brno, Czech Republic.

Published: January 1995

In the Czech Republic a complex monitoring of agriculture soils has commenced. This paper describes the approach to establishing monitoring plots. Comparing the results of Systematic Soil Survey and those from the first period of agriculture monitoring demonstrates that a representative set of plots was achieved. Soil properties (physical, chemical, biological and agronomical), atmospheric deposition (some parameters being monthly and some only for the summer and winter season) and selected other influences (application of pesticides, irrigation, etc.) are all monitored. Results for atmospheric deposition in the Czech Republic from the first period and Bavaria [Bayerische Landesanstalt für Bodenkultur und Pflanzenbau, 1992) are also compared. Data are evaluated by a statistical package (Statgrafics) and prepared for future transfer into a suitable GIS.

Download full-text PDF

Source
http://dx.doi.org/10.1007/BF00546032DOI Listing

Publication Analysis

Top Keywords

czech republic
12
monitoring agriculture
8
agriculture soils
8
atmospheric deposition
8
monitoring
4
soils czech
4
republic czech
4
republic complex
4
complex monitoring
4
soils commenced
4

Similar Publications

Background: Gastrointestinal diseases in weaned piglets are a frequent cause of high morbidity and mortality in domestic pigs. The use of antibiotics is problematic due to increasing antibiotic resistance in bacterial populations, for which reason the use of suitable probiotics is highly recommended to maintain animal health and welfare.

Results: In this study, 57 strains of biologically safe lactic acid bacteria (LAB) and bifidobacteria originating from the gastrointestinal tract (GIT) of pigs were identified and characterized in terms of their probiotic properties for potential use in weaned piglets.

View Article and Find Full Text PDF

Exploratory multivariate analysis using R Language for method development in liquid chromatography.

Anal Bioanal Chem

January 2025

Department of Medical Biochemistry, Faculty of Medicine in Hradec Králové, Charles University, Šimkova 870, 500 03, Hradec Králové, Czech Republic.

The visual evaluation of data derived from screening and optimization experiments in the development of new analytical methods poses a considerable time investment and introduces the risk of subjectivity. This study presents a novel approach to processing such data, based on factor analysis of mixed data and hierarchical clustering - multivariate techniques implemented in the R programming language. The methodology is demonstrated in the early-stage screening and optimization of the chromatographic separation of 15 structurally diverse drugs that affect the central nervous system, using a custom R Language script.

View Article and Find Full Text PDF

Chlorinated paraffins (CPs) are environmental pollutants extensively used in industries. While the use of short-chain chlorinated paraffins (SCCPs) has been restricted since 2017, the use of medium-chain chlorinated paraffins (MCCPs) has risen as their replacement. Due to lipophilic character, it can be expected that CPs enter the cells; however, the in vitro accumulation potential of CPs remains poorly understood.

View Article and Find Full Text PDF

In recent times, there has been notable progress in control systems across various industrial domains, necessitating effective management of dynamic systems for optimal functionality. A crucial research focus has emerged in optimizing control parameters to augment controller performance. Among the plethora of optimization algorithms, the mountain gazelle optimizer (MGO) stands out for its capacity to emulate the agile movements and behavioral strategies observed in mountain gazelles.

View Article and Find Full Text PDF

This study explores whether labeling AI as either "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Utilizing a one-way between-subjects design, the research presented online participants (N = 478) with a text presenting guidelines for either trustworthy or reliable AI, before asking them to evaluate 3 vignette scenarios and fill in a modified version of the Technology Acceptance Model which covers different variables, such as perceived ease of use, human-like trust, and overall attitude. While labeling AI as "trustworthy" did not significantly influence people's judgements on specific scenarios, it increased perceived ease of use and human-like trust, namely benevolence, suggesting a facilitating influence on usability and an anthropomorphic effect on user perceptions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!