Chemical Sciencies Faculty, Autonomous University of Nuevo Leon, San Nicolas de los Garza, 66451, Nuevo Leon, Mexico.
Research Center for Biotechnology and Nanotechnology, Chemical Sciences Faculty, Research and Technological Innovation Park, Autonomous University of Nuevo Leon, Apodaca, 66629, Nuevo Leon, Mexico.
Sci Data. 2023 Jul 4;10(1):429. doi: 10.1038/s41597-023-02332-7.
Several studies have assessed crop water requirements based on soil properties, but these have been on a small scale or on soils with similar textures. Here, a data base of soil measurements in the field and laboratory from sites across Irrigation District 023, San Juan del Rio, Queretaro, Mexico was sampled, collected, analyzed, and integrated. The data base, named, NaneSoil, contains information on 900 samples obtained from irrigated plots. NaneSoil cover 10 of the 12 textural classes with the following information: sand, silt, clay contents, bulk density, saturated volumetric water content, field capacity, permanent wilting point and saturated hydraulic conductivity. The aim of this work is to provide the scientific community with sufficient information to perform a large number of analyses, for example, development of pedotransfer functions, calculation of water requirements of plants in soils with similar characteristics, modeling of infiltration, optimal irrigation discharge calculation, among others. The dataset also promotes the scientific community to contribute their own measurements to further strengthen the knowledge of flow in the porous medium.
已有几项研究基于土壤特性评估了作物需水量,但这些研究的规模较小,或针对的是质地相似的土壤。在这里,对来自墨西哥克雷塔罗州圣胡安德迪尔里奥灌溉区 023 区各地的现场和实验室土壤测量数据进行了采样、收集、分析和整合。该数据库名为 NaneSoil,包含了来自灌溉地块的 900 个样本的信息。NaneSoil 涵盖了 10 种质地类别,其中包含以下信息:砂、粉砂、粘土含量、体密度、饱和体积含水量、田间持水量、永久萎蔫点和饱和导水率。这项工作的目的是为科学界提供足够的信息来进行大量分析,例如,开发经验转移函数、计算具有相似特性土壤中植物的需水量、模拟入渗、计算最佳灌溉流量等。该数据集还鼓励科学界贡献自己的测量结果,以进一步加强对多孔介质中水流的认识。