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作 者:范志懿 刘佳嘉 FAN Zhiyi;LIU Jiajia(School of Agriculture,Ningxia University,Yinchuan 750021,China)
出 处:《山西农业科学》2020年第12期2017-2022,共6页Journal of Shanxi Agricultural Sciences
基 金:宁夏重点研发项目(引才专项)(2018BEB04018)。
摘 要:长期以来,过量施肥、肥料利用率低、氮磷钾配比不合理、微量元素缺乏等问题严重制约了我国林果业的发展,而由叶片营养诊断技术指导的精准施肥是克服这些问题的重要手段之一。国际上常用的叶片营养诊断方法有4种,即充足范围法(SRA)、诊断施肥综合法(DRIS)、适度偏差百分数法(DOP)、组分营养诊断法(CND)。介绍了4种叶片营养诊断方法的概况及影响叶片营养诊断准确性的主要因素。组分营养诊断法(CND)能够充分考虑到养分间的交互作用并且反映出的诊断结果更为有效和准确,较其他3种方法更为科学,并为今后合理有效开展果树叶片营养诊断提出研究方向。For a long time,problems such as excessive fertilization,low fertilizer utilization rate,unreasonable ratio of N,P and K,and lack of trace elements have seriously restricted the development of fruit tree industry in China.Accurate fertilization guided by leaf nutrition diagnosis is one of the important means to overcome these problems.There are four diagnostic methods of leaf nutrition commonly used in the world,namely,sufficiency range approach(SRA),diagnostic fertilizer integrated system(DRIS),deviation from optimum percentage(DOP),and component nutritional diagnosis(CND).In this paper,four methods of leaf nutrition diagnosis and the main factors affecting the accuracy of leaf nutrition diagnosis were discussed.It is concluded that the component nutrition diagnosis method(CND)could fully consider the interaction among nutrients,and the diagnosis results were more effective and accurate,which was more scientific than the other three methods.The research direction was put forward for the reasonable and effective development of fruit tree leaf nutrition diagnosis in the future.
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