• ISSN 1008-505X
  • CN 11-3996/S

基于作物产量反应和农学效率的智能化推荐施肥原理与实践

Principles and practices of intelligent fertilizer recommendation based on yield response and agronomic efficiency

  • 摘要: 小规模农业生产易于出现不合理施肥导致的肥料利用率低等问题,严重影响到生态环境和农业可持续发展。研究建立适合我国小农户集约化农业生产特点且科学轻简的养分推荐方法尤为重要。中国农业科学院农业资源与农业区划研究所会同全国39个土壤肥料研究团队,研发了适合我国农业生态条件和种植体系的基于产量反应和农学效率的作物推荐施肥方法。该方法在汇总分析全国各作物主产区开展的肥料田间试验的基础上,建立了包含作物产量反应、农学效率及养分吸收与利用等信息的数据库。采用QUEFTS (quantitative evaluation of the fertility of tropical soils)模型模拟作物养分吸收,同时对数据库中土壤基础养分供应、作物农学效率与产量反应进行相关分析,建立基于产量反应和农学效率的作物推荐施肥模型。在此基础上,借助计算机技术和智能云计算,研发了“养分专家系统”(简称NE系统),用户只需提供种植地块的一些基本信息,如往年农民习惯措施下的作物产量、施肥历史、有机无机肥料投入以及秸秆还田情况,NE系统就能给出基于该地块的个性化施肥方案。NE 系统在推荐施肥中除了考虑土壤基础地力外,还考虑了上季作物养分残效和秸秆还田带入的养分,以及作物轮作体系和有机肥施用情况等,提出的推荐施肥方案符合4R养分管理策略(最佳肥料品种、最佳用量、最佳施用时间和最佳施用位置),同时兼顾施肥的农学、经济和环境效应。多点田间验证试验证实,NE系统推荐施肥兼顾科学性和实用性,且易于掌握,是一种能够保障作物增产增收、提高肥料利用率和保护环境的科学推荐施肥方法。

     

    Abstract: Irrational application of chemical fertilizers is common in small scale agricultural production due to the lack of handy fertilizer recommondation method. The Institute of Agricultural Resources and Agricultural Planning of the Chinese Academy of Agricultural Sciences, together with 39 soil-fertilizer research teams across the country, developed a crop fertilizer recommendation system based on yield response and agronomic efficiency that is applicable to small scale farmlands under different agro-ecological conditions and cropping systems in China. The development of the fertilizer recommendation based on the large datasets from fertilizer field trials conducted in China’s main cropping production areas in multiple years, including crop yield response, agronomic efficiency, nutrient uptake and utilization. The QUEFTS (quantitative evaluation of the fertility of tropical soils) model was used to calculate the optimal nutrient uptake, and the correlation between soil indigenous nutrient supply, crop yield response and agronomic efficiency of applied nutrient was calculated, and a fertilizer recommondation model was established in this way. Based on the model, a user-friendly Nutrient Expert (NE) system was developed by means of information and intelligent cloud computing technology to facilitate technology application. Users can have the tailored fertilizer application strategy by only inputing some basic information such as crop yield, fertilizer application history, organic and inorganic fertilizer inputs, and whether straw returning, etc. From the above the soil fertility level, the NE system takes into account the residual nutrients from previous season, crop rotation system, and organic fertilizer application, etc., and proposes a fertilizer application recommendation in line with 4R nutrient management strategy (right source, right rate, right time, and right place), while trade-off the agronomic, economic, and environmental impacts. Multi-site field validation trials have confirmed that the NE system, as a science based and easy to grasp tool, can synergize both fertilizer use efficiency and environmental protection, is an important fertilizer recommendation method to ensure higher crop yield and profitability.

     

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