首页> 中文期刊> 《气象与环境研究:英文版》 >Study on the Relationships between Utilization Ratios and Conversion Rates of Nitrogen,Phosphorus and Potassium for Maize

Study on the Relationships between Utilization Ratios and Conversion Rates of Nitrogen,Phosphorus and Potassium for Maize

         

摘要

This paper studied the relationships between utilization ratios and conversion rates of nitrogen,phosphorus and potassium for maize by data mining method based on data of"3414 fertilizer field trials"of maize by published papers from national soil testing and recommendation since 2005.The results and conclusions were as follows:①the conceptual model of fertilizer utilization ratio of maize for plot was that,Y N≈a+b×optimum yield,Y P≈a+b×optimum yield-c×optimum nitrogen application amount-d×optimum potassium application amount,Y K≈a-b×optimum nitrogen application amount-c×temperature in growth season-d×rainfall in growth season,respectively.②Fertilizer utilization ratio and nutrient conversion rate had 4 kinds of relationships.No significant relationships:22,of which 16 were soil nutrients and 5 were environmental factors,the results showed that soil nutrients and environmental factors had little effect on nutrient conversion rate and fertilizer utilization ratio;consistent significant relationships:14,illustrating that conversion rate and utilization ratio of maize were consistent in most cases,and it was because that maize was planted for a long term,and its fertilizer absorption law was basically stable;contrary significant relationships:0,illustrating that there was no reverse relationship between conversion rate and utilization ratio of maize;complementary significant relationships:18,the cause of the complementary phenomenon was that the fertilizer utilization ratio was the measuring index of fertilizer efficiency in one season,while the nutrient conversion rate was the measuring index of fertilizer efficiency in more seasons.It showed that the fertilizer utilization ratio was significantly correlated,or the nutrient conversion rate was significantly correlated.

著录项

  • 来源
    《气象与环境研究:英文版》 |2020年第5期|P.69-7590|共8页
  • 作者单位

    Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin 300191 China;

    Guangxi Geographical Indication Crops Research Center of Big Data Mining and Experimental Engineering Technology Nanning Normal University Nanning 530001 ChinaGuangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning 530001 ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf(Nanning Normal University) Nanning 530001 China;

    Guangxi Geographical Indication Crops Research Center of Big Data Mining and Experimental Engineering Technology Nanning Normal University Nanning 530001 ChinaGuangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning 530001 ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf(Nanning Normal University) Nanning 530001 China;

    Guangxi Geographical Indication Crops Research Center of Big Data Mining and Experimental Engineering Technology Nanning Normal University Nanning 530001 ChinaGuangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning 530001 ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf(Nanning Normal University) Nanning 530001 China;

    Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin 300191 China;

    Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin 300191 China;

    Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin 300191 China;

    Guangxi Geographical Indication Crops Research Center of Big Data Mining and Experimental Engineering Technology Nanning Normal University Nanning 530001 ChinaGuangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning 530001 ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf(Nanning Normal University) Nanning 530001 China;

    Guangxi Geographical Indication Crops Research Center of Big Data Mining and Experimental Engineering Technology Nanning Normal University Nanning 530001 ChinaGuangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning 530001 ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf(Nanning Normal University) Nanning 530001 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 禾谷类作物;
  • 关键词

    Optimum yield; Optimum fertilization amount; Nutrient conversion rate; Fertilizer utilization ratio; Relative abundance-deficiency value of soil nutrient;

    机译:最佳产量;最佳施肥量;营养转化率;肥料利用率;土壤营养素的相对丰富缺乏价值;
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