Open AccessUsing the principal component analysis to assess some properties of agro-gray soil and bonitet
Author(s) -
А.В. Ручкина,
R Ushakov,
Olga Zaharova
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/699/1/012016
Subject(s) - principal component analysis , humus , potassium , mathematics , soil fertility , soil water , phosphorus , dispersion (optics) , soil science , soil test , statistics , environmental science , chemistry , physics , organic chemistry , optics
To understand all the structural complexity of soil fertility, one can use the principal component analysis of factor analysis. Factor analysis, with all its shortcomings to identify structural relationships between variables, can be used to understand the complexity of soil fertility, by some assumptions. It can be estimated through bonitet. The work was carried out on the basis of materials from an agrochemical survey of agro-gray soils. Exchangeable acidity, mobile forms of phosphorus and potassium, humus, the sum of exchangeable bases and bonitet calculated in accordance with them were analyzed. The sample number was 68. Group 0 included bonitet with values less than 90 units and group 1 had bonitet with values more than 90 units. It was found that the contribution of exchangeable acidity and phosphorus to the first main component, which accounted for about 39% of the total dispersion, was maximum and equal to 0.7 and 0.84 units, respectively. Humus and potassium were positively associated with the second component (29% of dispersion) and their contribution was 0.7 and 0.81 units, respectively.