Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, P.R. China.
International Plant Nutrition Institute (IPNI) China Program, CAAS-IPNI Joint Lab for Plant Nutrition Innovation Research, Beijing, 100081, PR China.
Sci Rep. 2019 Mar 5;9(1):3589. doi: 10.1038/s41598-019-40367-2.
A large number of on-farm experiments (n = 5556) were collected for the period 2000-2015 from the major rice (Oryza sativa L.) producing regions in China, to study the spatial variability of attainable yield, yield response, relative yield and fertilizer requirements at regional scale, by coupling geographical information system with the Nutrient Expert for Rice decision support system. Results indicated that average attainable yield was 8.8 t ha across all sites, with 18.3% variation. There were large variations in yield response to nitrogen (N), phosphorus (P), and potassium (K) fertilizer application with coefficients of variation of 39.2%, 57.0%, and 53.4%, and the sites of 73.4%, 85.8%, and 87.6% in the study area ranged from 2.0 to 3.0, from 0.7 to 1.3, and from 0.7 to 1.3 t ha, respectively. Mapping the spatial variability of relative yield to N, P, and K indicated that the sites of 78.6%, 92.4%, and 88.7% in the study area ranged from 0.65 to 0.75, from 0.80 to 0.92, and from 0.84 to 0.92, respectively. The high yield response and low relative yield to N and P were mainly located in the Northeast (NE), Northwest (NW), and north of the Middle and Lower Reaches of Yangtze River (MLYR) regions. The spatial distribution of N, P, and K fertilizer requirements ranged 140-160 kg N ha, 50-70 kg PO ha and 35-65 kg KO ha which accounted for 66.4%, 85.5% and 73.0% of sites in the study area, respectively. This study analyzed the spatial heterogeneity of attainable yield, soil nutrient supply capacity and nutrient requirements based on a large database at regional or national scale by means of geographical information systems and fertilizer recommendation systems, which provided a useful tool to manage natural resources, increase efficiency and productivity, and minimize environmental risk.
从 2000 年到 2015 年,在中国主要的水稻(Oryza sativa L.)产区收集了大量的田间试验(n=5556),通过将地理信息系统与水稻决策支持系统的养分专家耦合,研究了区域尺度上可达到的产量、产量响应、相对产量和肥料需求的空间变异性。结果表明,所有地点的平均可达到产量为 8.8 t ha,变异系数为 18.3%。氮(N)、磷(P)和钾(K)肥料施用量的产量响应存在很大差异,变异系数分别为 39.2%、57.0%和 53.4%,研究区 73.4%、85.8%和 87.6%的地点分别为 2.0-3.0、0.7-1.3 和 0.7-1.3 t ha。对 N、P 和 K 的相对产量的空间变异性进行制图表明,研究区 78.6%、92.4%和 88.7%的地点分别为 0.65-0.75、0.80-0.92 和 0.84-0.92。N 和 P 的高产量响应和低相对产量主要分布在东北(NE)、西北(NW)和长江中下游(MLYR)北部地区。N、P 和 K 肥料需求的空间分布范围分别为 140-160 kg N ha、50-70 kg PO ha 和 35-65 kg KO ha,分别占研究区的 66.4%、85.5%和 73.0%。本研究通过地理信息系统和肥料推荐系统,基于区域或国家规模的大型数据库,分析了可达到产量、土壤养分供应能力和养分需求的空间异质性,为管理自然资源、提高效率和生产力以及最小化环境风险提供了有用的工具。