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当前位置: 首页 > 文章 > 基于理化指标快速预测奶牛粪便肥料成分含量 中国农业大学学报 2006,11 (2) 104-108
Position: Home > Articles > Rapidly estimating fertilizer value of dairy manure based on physical and chemical properties Journal of China Agricultural University 2006,11 (2) 104-108

基于理化指标快速预测奶牛粪便肥料成分含量

作  者：
崔兰英;杨增玲;韩鲁佳;滕光辉
单  位：
中国农业大学水利与土木工程学院;中国农业大学工学院
关键词：
奶牛粪便;肥料成分;预测;电导率;相对密度;pH
摘  要：
探讨基于相对密度、电导率和pH快速预测奶牛粪便肥料成分含量的可行性,在京郊奶牛场采集代表性样本89份,用实验室常规化学分析方法确定其中氮、磷、钾和铵态氮的含量,使用密度计、电导仪和pH计测定其相对密度、电导率和pH。根据奶牛粪便理化指标与粪便中氮、磷、钾和铵态氮含量的相关关系建立了基于理化指标快速预测奶牛粪便氮、磷、钾和铵态氮含量的回归方程,分析结果表明:总氮含量可依据电导率和pH进行预测(R2=0.645,P<0.001,精度12.0%),或依据电导率、相对密度和pH进行预测(R2=0.675,P<0.001,精度11.7%);总钾含量可依据电导率进行预测(R2=0.687,P<0.001,精度30.2%);铵态氮含量可依据电导率和pH进行预测(R2=0.717,P<0.001,精度19.6%)。
译  名：
Rapidly estimating fertilizer value of dairy manure based on physical and chemical properties
作  者：
Cui Lanying~1,Yang Zengling~2,Han Lujia~2,Teng Guanghui~1(1.College of Water Conservancy and Civil Engineering,China Agricultural University,Beijing 100083,China;2.College of Engineering,China Agricultural University,Beijing 100083,China)
关键词：
dairy manure;fertilizer contents;estimating;EC;SG;pH
摘  要：
In order to study the feasibility of rapidly estimating fertilizer contents in dairy based on specific gravity(SG),electrical conductivity(EC) and pH,89 samples were selected from suburb of Beijing.Total nitrogen(TN),total phosphorus(TP),total potassium(TK) and ammonium nitrogen(AN) contents in dairy manure were determined by traditional chemical methods.SG,EC and pH were determined in laboratory.In the experiment,the relationship between TN, TP,TK and AN contents in dairy manure and physical and chemical properties was studied and the regression equation of rapidly estimating TN,TP,TK and AN contents in dairy manure was developed based on physical and chemical properties.The results showed that EC and pH could be evaluated for estimating total nitrogen(R~2=0.645,P<0.001,accuracy was 12.0%),and EC,SG and pH could be evaluated for estimating total nitrogen(R~2=0.675,P<0.001,accuracy was 11.7%).EC could be evaluated for estimating total potassium (R~2=0.687,P<0.001,accuracy was 30.2%).EC and pH could be evaluated for estimating ammonium nitrogen(R~2=0.717,P<0.001,accuracy was 19.6%).

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