CORRELATION ANALYSIS OF HEAVY METAL CONTENT IN ANIMAL FEED AND ORGANIC WASTE WITH ASSESSMENT OF THE ECOLOGICAL RISK OF CONTAMINATION OF AGROECOSYSTEMS BY POLLUTANTS

Ecotoxicants heavy metals pose a significant threat to the environment in different countries of the world and Ukraine. After the end of hostilities, the ecological situation in agroecosystems will be more complex. The method of correlation analysis is one of the statistical data processing methods, which, when properly applied, allows you to quickly establish the strength of the relationship between indicators and its statistical probability. Assessment of environmental risk using the results of laboratory analysis of feed for productive cows and their organic waste for the content of heavy metals Cd, Pb obtained in scientific experiments is of great importance. These research methods are used in the practice of scientists from the European Union, the USA, and China. The experiments were conducted on dairy cows. Animal feeding by different types. The diet contained feed with an excess of pollutants. The high ecotoxicity of Cd, Pb affected their migration from feed to products, organic waste. The aim of the research is to analyze the correlation between the content of cadmium and lead in animal feed and their organic waste with an assessment of the risk of soil contamination by pollutants, after the use of organic waste as an organic fertilizer. The STATISTICA program version 10.0, the Shapiro-Wilk test was used to check the compliance of the obtained data of laboratory analyses of feed and organic waste for the content of heavy metals with the law of “normal” distribution. The necessary non-parametric Spearman rank correlation coefficient was selected for calculation. Statistical analysis showed a high r = 0.66…0.75 (cadmium) (p < 0.05), r = 0.66…0.77 (lead) (p < 0.05), very high r = 0.83 (cadmium) (p < 0.05), r = 0.83 (lead) (p < 0.05) correlation between the concentration of toxicants in feed and organic waste, which allows environmental specialists to act quickly and effectively in production conditions, conduct environmental monitoring, predict the ecological situation of agrobiogeocenoses, and assess environmental risks, including those related to environmentally safe organic farming. Further research – correlation analysis for other important indicators of environmental safety in production practice.