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

The dataset addressed tillage techniques such as minimum tillage (MT), conventional tillage (CT), and deep tillage (DT). In terms of nutrient management, NM1 is 100% soil test-based (STB) after fertilizer gradient generation (FRG); NM2 is 125% of STB after fertilizer gradient generation (FRG-2018); NM3 is 100% STB (80% from chemical fertilizers and 20% from cowdung); and NM4 is native fertility (no fertilization). For three consecutive seasonal years (2018–19, 2019–20, and 2020–21), a total of twelve treatments were reproduced three times in accordance with the factorial totally randomized design.本数据集涵盖少耕（minimum tillage, MT）、常规耕作（conventional tillage, CT）、深翻耕作（deep tillage, DT）等耕作技术。在养分管理方面，NM1为完成肥料梯度生成（fertilizer gradient generation, FRG）后采用100%基于土壤测试（soil test-based, STB）的养分管理方案；NM2为完成2018年肥料梯度生成（fertilizer gradient generation-2018, FRG-2018）后采用125%基于土壤测试的养分管理方案；NM3为100%基于土壤测试的养分管理方案（其中80%养分来自化肥，20%来自牛粪）；NM4为原生肥力模式（不施肥）。在2018–2019、2019–2020及2020–2021三个连续种植季中，按照因子完全随机设计，共设置12个处理组，每组均重复三次实验。