Dataset on utilizing cropping system-based fertilization techniques to improve soil health and crop output while minimizing tillage.

The dataset provided details on how tillage methods and nutrient management impacted the productivity of the four crops (mustard>mungbean>Transplanting (T.) aus >Transplanting (T.) aman) cropping system and the overall soil health. The specific tillage techniques examined were minimum tillage (MT), conventional tillage (CT), and deep tillage (DT). Regarding nutrient management, NM utilized 100 % soil test-based (STB) fertilization following fertilizer gradient generation (FRG); NM applied 125 % of STB after FRG-2018; NM consisted of 100 % STB (with 80 % from chemical fertilizers and 20 % from cow dung); and NM relied on native fertility without any fertilization. Over three consecutive seasonal years (2018-19, 2019-20, and 2020-21), twelve treatments were replicated three times following a factorial totally randomized design. The comparative analysis of crop yield, rice equivalent yield, system productivity and production efficiency indicated superior performance of MT over both CT and DT. Furthermore, in relation to agricultural productivity metrics, the application of the nutrition package NM demonstrated performance levels exceeding the average. The adoption of MT and the incorporation of the NM nutrition package led to notable advancements in organic matter, field capacity, microbial biomass nitrogen, microbial biomass carbon and soil nutrient levels (N, P, K, S, Zn, and B). Consequently, the synthesis of the NM with MT is posited as a strategic approach for soil enhancement and the augmentation of crop productivity.