Department of Agronomy, Kansas State University, Manhattan, Kansas, US.
University Paris-Saclay, INRAE, AgroParisTech, UMR MIA 518, 75231, Paris, France.
Sci Data. 2022 Jun 7;9(1):277. doi: 10.1038/s41597-022-01395-2.
Precise management of crop nitrogen nutrition is essential to maximize yields while limiting pollution risks. For several decades, the critical nitrogen (N) dilution curve - relating plant biomass (W) to N concentration (%N) - has become a key tool for diagnosing plant nutritional status. Increasing number of studies are being conducted to parameterize critical N dilution curves of a wide range of crop species in different environments and N-fertilized conditions. A global synthesis of the resulting data is lacking on this topic. Here, we conduct a systematic review of the experimental data collected worldwide to parametrize critical N dilution curves. The dataset consists of 36 papers containing a total of 4454 observations for 19 major crop species distributed in 16 countries. The key variables of this dataset are the W and %N collected at three or more sampling times, containing three or more fertilizer N rate levels. This dataset can guide the development of generic critical N dilution curves, helps scientists to identify factors influencing plant N status, and leads to the formulation of more robust N recommendations for a broad range of environmental conditions.
精确管理作物氮素营养对于在限制污染风险的同时最大限度地提高产量至关重要。几十年来,关键氮(N)稀释曲线 - 植物生物量(W)与 N 浓度(%N)的关系 - 已成为诊断植物营养状况的关键工具。越来越多的研究正在进行中,以确定不同环境和氮施肥条件下广泛作物物种的关键氮稀释曲线的参数。在这个主题上,缺乏对这些数据的全球综合分析。在这里,我们对全球范围内收集的用于参数化关键氮稀释曲线的实验数据进行了系统回顾。该数据集包含 36 篇论文,共包含 19 个主要作物物种的 4454 个观测值,分布在 16 个国家。该数据集的关键变量是在三个或更多采样时间收集的 W 和 %N,包含三个或更多的肥料 N 率水平。该数据集可以指导通用关键氮稀释曲线的开发,帮助科学家识别影响植物氮素状况的因素,并为广泛的环境条件制定更稳健的氮推荐。