2026-10-10T13:40:46Z https://www.scidb.cn/oai

10.57760/sciencedb.IGA.001dd 2026-08-31T11:23:44Z

2026-08-31 Dataset of New Agricultural Technologies Demonstration Trials in Wind-sand Saline-alkali Soil Area doi:10.57760/sciencedb.iga.001dd en This dataset originates from the systematic research conducted by Professor Zhou Daowei‘s team at the Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, in the wind-sand saline-alkali soil area of the Songnen Plain. It integrates three core categories: foundational research data, amendment technology experimental data, and new agricultural technology demonstration data. The dataset encompasses saline-alkali land formation and evolution parameters from 1958 to 2025, soil physicochemical indicators (pH, EC, CEC, ESP, available N/P/K), pot experiment data from five chemical amendments (oxalic acid, calcium sulfate, aluminum sulfate, ammonium sulfate, and potassium sulfate) at four gradient dosages, straw incorporation field trial data, as well as multi-dimensional systematic observation data on root morphology, plant height, biomass, yield components, and canopy light interception under the “narrow-row wide-seedling-belt” wheat sowing technique. The dataset also includes cost-benefit model simulation data and technical parameters of supporting agricultural machinery (furrow opener, soil sampler, groundwater sampling device). This dataset is applicable to the evaluation of saline-alkali land amendment effectiveness, chemical amendment screening, sowing technique optimization, and crop response model construction, providing fundamental data support for saline-alkali land management and the extension of new agricultural technologies in similar regions. Songnen Plain; Saline-alkali land ameliorati; New agricultural technologies PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank