• ISSN 1008-505X
  • CN 11-3996/S

基于产量反应和农学效率的冬油菜智能化推荐施肥方法研究

The study of intelligent fertilizer recommendation method for winter rape based on yield response and agronomic efficiency

  • 摘要:
    目的 基于产量反应和农学效率的专家施肥系统对作物进行智能化推荐施肥在我国多个地区和作物上取得了令人信服的效果。我们利用该方法建立适应我国国情的冬油菜推荐施肥方法,以提高油菜的生产效益,降低环境风险。
    方法 以“油菜”、 “油菜+产量”、“油菜+养分吸收”、“油菜+肥料利用率”为关键词及关键词组合,收集了来自于2000-2023年公开发表的多年多点冬油菜田间肥料试验数据,采用 QUEFTS 模型分析油菜养分吸收特征,优化施肥下油菜产量反应和农学效率等农学参数,构建油菜养分专家系统。2021-2023年在湖北多地开展65个田间验证试验,设置油菜养分专家推荐施肥 (NE)、农民习惯施肥 (FP) 和测土配方推荐施肥 (ST) 3 种施肥技术,调查了油菜产量、养分利用效率及经济效益响应特征。
    结果 依据 QUEFTS 模型分析,我国生产 1 t 冬油菜籽粒,冬油菜地上部氮、磷和钾养分需求量分别为 43.5、11.0和 44.6 kg;油菜主产区氮、磷和钾肥的平均产量反应分别为1.08、0.63和0.42 t/hm2;氮、磷和钾肥平均农学效率分别为6.26、8.24和4.97 kg/kg。经智能化演算,氮、磷、钾肥与产量的关系为y=−0.8043x2+6.9351x−0.0648,y=−2.6103x2+16.139x−0.408,y=−3.0654x2+14.031x−0.1571。65个田间验证试验地点的氮磷钾推荐量基本为减氮、增磷、稳钾,具体为N降低了20 kg/hm2,P2O5施用量提高了7 kg/hm2,K2O施用量基本不变。与ST相比,NE处理肥料总成本降低了898元/hm2,油菜产量和净收益平均增加了0.11 t/hm2和898元/hm2,氮和钾肥农学效率分别提高了1.39和 2.83 kg/kg。
    结论 基于产量反应和农学效率大数据建立的油菜养分专家系统进行施肥推荐,减少了肥料总投入,提高了冬油菜产量、经济效益和养分利用率,是适用于我国冬油菜种植的智能化推荐施肥方法。

     

    Abstract:
    Objectives The intelligent fertilizer recommendations based on yield response and agronomic efficiency has demonstrated convincing results for crops across various regions and species in China. This study aimed to establish a fertilization recommendation method tailored to winter oilseed rape (Brassica napus L.) in China, targeting production efficiency and reduced environmental risks.
    Methods Using keywords “oilseed rape”, “oilseed rape + yield”, “oilseed rape + nutrient uptake”, and “oilseed rape + fertilizer use efficiency”, we collected field fertilizer trial data in winter oilseed rape published during 2000 to 2023. The QUEFTS model was employed to analyze nutrient uptake characteristics and optimize agronomic parameters including yield response and agronomic efficiency, then the nutrient expert recommendation system (NE) was constructed tailored for winter oilseed rape. From 2021 to 2023, 65 field validation trials were conducted across Hubei Province, and three fertilization treatments were included in each trail: Nutrient Expert recommendation (NE), farmers’ conventional practice (FP), and soil testing recommendation (ST). The yield, nutrient use efficiency, and economic benefits of oilseed rape production were investigated.
    Results The QUEFTS model analysis revealed that the N, P, and K requirement in aboveground biomass are 43.5 kg, 11.0 kg, and 44.6 kg for producing 1 ton of winter oilseed rape seeds, the average yield responses to N, P, and K fertilization are averaged 1.08, 0.63, and 0.42 t/hm2, respectively, with corresponding agronomic efficiencies of 6.26, 8.24, and 4.97 kg/kg. The relationships between fertilization and yield were quantified as: y=−0.8043x2+6.9351x−0.0648 for N, y=−2.6103x2+16.139x−0.408 for P, and y=−3.0654x2+14.031x−0.1571 for K. Compared to the ST treatment, NE recommendation reduced N rate by 20 kg/hm2, increased P2O5 rate by 7 kg/hm2, and remained similar K2O rate. As a result, NEs decreased total fertilizer cost by 989 CNY/hm2, increased yield and net profit by an average of 0.11 t/hm2 and 898 CNY/hm2, respectively, and improved agronomic efficiencies of N and K fertilizers by 1.39 and 2.83 kg/kg.
    Conclusions The intelligent fertilization recommendation tailored to winter oilseed rape production in China outperformed other methods in balancing and reducing fertilizer cost, increasing fertilizer nutrient use efficiency, soilseed rape yield and profits, so is an effective and efficient recommendation system.

     

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