RT Journal
T1 A NEW APPROACH FOR COMPARISON OF SOIL CHARACTERISTICS USING GREY RELATIONAL ANALYSIS AND PRINCIPAL COMPONENT ANALYSIS
A1 E. Yaganoglu
A1 S. Sari
A1 E. L. Aksakal
A1 A. M. Yaganoglu
A1 I. Angin
JF Journal of Animal and Plant Sciences
JO JAPS
SN 1018-7081
VO 32
IS 2
SP 466
OP 478
YR 2022
FD 2022/03/15
DO DOI https://doi.org/10.36899/JAPS.2022.2.0444
AB <p>Multivariate statistical analysis are important tools to assess soil quality. In this study, grey relational analysis and principal component analysis methods were implemented in order to identify the most influential variables affecting soil quality. For this aim, soil characteristics such as organic matter (SOM), mean weight diameter (MWD), aggregate stability (AS), dispersion ratio (DR), penetration resistance (PR), bulk density (&rho;<sub>b</sub>), total porosity (TP), air permeability (AP), permeability coefficient (PC), liquid limit (LL), plastic limit (PL), plasticity index (PI), shrinkage limit (SL), friability index (FI), optimum moisture content (OMC), and maximum dry bulk density (&rho;<sub>b-max</sub>) of soil specimens obtained from 45 different soil samples were measured. The PC (0.67), PI (0.65), MWD (0.65), PR (0.59), &rho;<sub>b-max</sub>&nbsp;(0.56), AP (0.55), &rho;<sub>b</sub> (0.54), TP (0.53), FI (0.53), DR (0.53), PL (0.53), LL (0.52), OMC (0.50), AS (0.50), SL (0.50) and SOM (0.47) were found to be the most significant variables associated with soil quality based on the mean values of grey relational coefficients. Grey relational grades calculated using three values obtained from principal component analysis displayed that Soil III 4% (0.98) had the highest quality, whereas Soil I control (0.34) had the lowest quality.Nearly a similar ranking occurred in two statistical calculation cases (GRA and GRA-PCA). Results obtained have shown that these two methods are suitable for solving complicated relationships between multiple factors and variables in soil research.</p>
K1 Soil quality, Physical and mechanical characteristics, Principal component analysis (PCA), Grey relational analysis (GRA)
PB Pakistan Agricultural Scientists Forum
LK https://thejaps.org.pk/AbstractView.aspx?mid=AG-20-0170