一个统一的数据集,用于模拟在整个欧盟范围内选择的未充分利用的作物
Eranga M Wimalasiri1,2, Ebrahim Jahanshiri1, Alessia Perego3
1Crops for the Future UK, National Institute of Agricultural Botany, 93 Lawrence Weaver Road, Cambridge CB3 0LG, UK.
Data in brief
|November 2, 2023
概括
这项研究创建了第一个数据库,用于模拟欧洲未充分利用的作物,解决了缺乏实验数据的问题. 该资源将有助于模拟作物表现,并促进被忽视的作物采用.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 农作物建模作物建模
背景情况:
- 模拟作物表现有助于理解和采用被忽视和未充分利用的作物.
- 建模这些作物的一个重要障碍是实验数据的稀缺性.
- 没有先前努力编制分种作物数据,专门用于建模未充分利用的作物.
研究的目的:
- 开发第一个作物建模数据数据库,专注于欧洲未充分利用的作物.
- 为了解决阻碍传统农业食品系统采用被忽视的作物的知识差距.
- 为未来的作物建模计划创建一个基础数据集.
主要方法:
- 一项试点研究确定了在整个欧盟 (EU) 中具有潜力的作物.
- 分析了来自欧洲农业气候区的1972-2022年间500多项农业学研究.
- 一个结构化的数据集包括作物表现学,产量,管理和环境数据被开发和策划.
主要成果:
- 该数据库包含了用于校准任何欧盟地区基本作物模型的基本信息.
- 它包括详细的实验数据的表态,产量,管理和环境因素,为选择未充分利用的物种.
- 精心策划的数据集确保了模型目的的数据质量.
结论:
- 这一数据库代表了为利用不足的物种进行作物建模的重要一步.
- 它将促进作物表现的模拟,并支持更广泛地采用被忽视的作物.
- 收集的数据将被整合到CropBASE,这是对未充分利用作物的全球知识库.
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