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从复杂的历史到连贯的数据,从Morrow Plots的长期农业数据集
Sandi L Caldrone1, Andrew J Margenot2,
1University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA. caldron2@illinois.edu.
Scientific data
|October 17, 2024
概括
自1876年以来的农业实验Morrow Plots现在提供了关于玉米 (Zea mays L.) 产量的全面数据集. 这些长期数据可以对农业作业和土壤肥力影响进行新的分析.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 土壤科学 土壤科学
背景情况:
- 长期的农业实验对于了解农业对作物产量和土壤肥沃性的影响至关重要.
- 这种影响往往会在几十年内出现,需要持续收集超出典型实验持续时间的数据.
- 莫罗地块成立于1876年,是全球第二个最古老的农业实验,专注于作物旋转和对玉米 (Zea mays L.) 产量的肥力影响.
研究的目的:
- 创建一个全面的, FAIR (可查找,可访问,可互操作,可重复使用) 历史农业数据数据集.
- 综合了Morrow Plots实验 (1888-2021) 的产量数据和管理实践.
- 为了使过去的发现得到验证,并促进对农业长期影响的新研究.
主要方法:
- 识别和聚合多个历史数据源.
- 数据合成为统一的纵向数据集.
- 遵守FAIR数据准入性和可重复使用性原则.
主要成果:
- 已经编制了一套综合玉米产量数据和1888年至2021年的管理实践的综合数据集.
- 该数据集整合了Morrow Plots长期农业实验中的信息.
- 这一数据集的公开可用性使得后续验证和新型调查成为可能.
结论:
- 汇编的数据集为研究农业实践的长期影响提供了宝贵的资源.
- 持续更新将纳入未来的实验数据和新发现的历史记录.
- 这一举措增强了持久的莫罗地图实验的科学实用性.
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