A Large-Scale Dataset of Conservation and Deep Tillage in Mollisols, Northeast Plain, China
نویسندگان
چکیده
One of the primary challenges our time is to feed a growing and more demanding world population with degraded soil environments under variable extreme climate conditions. Conservation tillage (CS) deep (DT) have received strong international support help address these but are less used in major global food production China. Hence, we conducted large-scale literature search English Chinese publications synthesize current scientific evidence evaluate effects CS DT on protection yield maintenance Northeast China Plain, which has most fertile black (Mollisols) main agricultural area As result, found that had higher bulk density, penetration resistance, greater water contents, lower temperature, was well-suited for dry wind erosion-sensitive regions i.e., southwest areas Northeast. Conversely, better performance middle belt contained temperature humid areas. Finally, created an original dataset from papers [dataset 1, including physio-chemical parameters, such as water, organic carbon, sand, silt, clay, pH, total available nitrogen (N), phosphorus (P), potassium (K), etc., crop biomass yield], by collecting data directly publications, two predicted datasets (dataset 2 3) changes developing random forest models based data.
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ژورنال
عنوان ژورنال: Data
سال: 2022
ISSN: ['2306-5729']
DOI: https://doi.org/10.3390/data8010006