Soil quality assessment study under this experiment was conducted in 2 years of research. Soil quality was assessed by identifying important Variables utilizing principal component analysis (PCA) and calculating soil quality indices (SQI) from the Minimum Data Set. Results demonstrated that the majority of soil quality metrics were strongly influenced by the integrated nutrient management treatments with application of high farm yard manure with 125% RDF. All of the observation's physical, chemical, and biological properties are considered for SQI estimation was included in PCA. Totally 36 parameters were used in PCA. The components in PCA which had more eigen value more than one is chosen for screening of Minimum Data Set (MDS). Finally, N, TC, CN, Cu, IC, pH and BD was finally screened in MDS. In maize – groundnut cropping sequence SQI values Among the main plot treatment M1 had the highest SQI (0.80 and 0.78 ) while M3 had the lowest SQI (0.75 and 0.71). The SQI of sub plot treatments varied from 0.63 to 0.86 and 0.57 to 0.82 respectively, S1 had the lowest SQI (0.63 and 0.57) and S2 had highest SQI (0.86 and 0.84) on average ~ sub plot treatments had higher SQI (0.777 and 0.745) over main plot treatments (0.776 and 0.743).