Large-scale exploration of nitrogen utilization efficiency in Asia region for rice crop: variation patterns and determinants

Improving rice nitrogen utilization efficiency (NUtE) is imperative to maximizing future food productivity while minimizing environmental threats, yet knowledge of its variation and the underlying regulatory factors is still lacking. Here, we integrated a dataset with 21,571 data compiled by available data from peer-reviewed literature and a large-scale field survey to address this knowledge gap. The overall results revealed great variations in rice NUtE, which were mainly associated with human activities, climate conditions and rice variety. Specifically, N supply rate, temperature and precipitation were the foremost determinants of rice NUtE, and NUtE responses to climatic change differed among rice varieties. Further prediction highlighted the improved rice NUtE with the increasing latitude or longitude. The indica and hybrid rice exhibited higher NUtE in low-latitude regions compared to japonica and inbred rice, respectively. Collectively, our results evaluated the primary drivers o..., Peer-reviewed literature published from 1981 to 2017 was searched using the Web of Science (http://apps.webofknowledge.com/), Google Scholar (http://scholar.google.com/), and China National Knowledge Infrastructure (http://www.cnki.net/) to establish a compiled database. The search terms were “(nitrogen content OR concentration) AND (biomass) AND (rice)”. Studies included in our dataset for further analysis must fulfill the following criteria: (1) the experiment was performed in Asia (with latitudes from 14.11 to 45.22 °N and longitudes from 73.09 to 140.87 °E), and only field rather than soil-pot or hydroponic studies were included; (2) the selected study should contain information on rice cultivars (indica or japonica, and inbred or hybrid rice), experimental sites and soil chemical parameters; (3) studies utilizing inorganic N fertilizer were included in the dataset, while those using compound fertilizer (containing other nutrients) and organic fertilizer were excluded due to their c..., The data file can be opened with the EXCEL software.Â提高水稻氮素利用效率（nitrogen utilization efficiency, NUtE）是未来在最大化粮食生产力的同时降低环境危害的必要举措，但目前对其变异规律及潜在调控机制仍缺乏认知。本研究整合了来自同行评议文献的公开数据与大规模田间调查的共计21571条记录，以填补这一认知空白。整体分析结果显示水稻氮素利用效率存在显著变异，其主要与人类活动、气候条件及水稻品种相关。具体而言，氮肥施用量、温度与降水是影响水稻氮素利用效率的核心调控因子，且不同水稻品种对气候变化的氮素利用效率响应存在差异。进一步预测分析表明，随着纬度或经度升高，水稻氮素利用效率将得到提升。与粳稻和常规自交稻相比，籼稻与杂交稻在低纬度地区分别表现出更高的氮素利用效率。综上，本研究明确了驱动水稻氮素利用效率变异的主要因素……本研究通过Web of Science（http://apps.webofknowledge.com/）、Google Scholar（http://scholar.google.com/）及中国知网（http://www.cnki.net/）检索了1981年至2017年发表的同行评议文献，检索式为"(nitrogen content OR concentration) AND (biomass) AND (rice)"，以此构建汇编数据库。纳入本数据集用于后续分析的研究需满足以下标准：（1）试验地点位于亚洲（纬度范围14.11°N至45.22°N，经度范围73.09°E至140.87°E），且仅纳入田间试验，排除土培、水培试验；（2）所选研究需包含水稻品种信息（籼稻或粳稻，常规稻或杂交稻）、试验站点及土壤化学参数；（3）仅纳入施用无机氮肥的研究，而施用复混肥（含其他养分）与有机肥的研究因……本数据文件可通过Microsoft Excel软件打开。