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基于理化指标快速预测蛋鸡粪便中肥料成分含量的试验研究
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摘要:
为预测蛋鸡粪便中肥料成分的含量,对其理化指标和肥料成分含量进行测定,统计分析结果表明:密度与磷含量呈二次相关关系(R2=0.716),与钾含量为线性相关关系(R2=0.722),通过测定密度可以预测蛋鸡粪便总磷和总钾的含量;电导率与总氮、总磷、总钾含量均为正线性相关关系,相关系数分别为0.509、0.726和0.846,利用电导率可以预测总氮、总磷和总钾的含量;随着蛋鸡粪便溶液稀释倍数的增加,其肥料成分含量与电导率的回归方程的相关系数均为先增大后减小。利用常规实验室仪器电导仪和比重计可以实现对蛋鸡粪便中肥料成分含量的快速预测。
关键词:  蛋鸡粪便,肥料成分含量,电导率,密度
DOI:10.11841/j.issn.1007-4333.2006.04.091
投稿时间:2006-03-28
基金项目:教育部优秀青年教师资助计划项目
Rapid estimation of component contents in chicken manure based on physical-chemical properties
Abstract:
The experiments were performed to investigate the relationship between the physical-chemical properties and the nutrient contents in layer manure in order to estimate its component contents as fertilizer.The results showed that the value of specific gravity(SG) could be used to evaluate total phosphorus and total potassium contents in layer manure and the correlative coefficients approached to 0.716 and 0.722 respectively;while electrical conductivity(EC) to evaluate total nitrogen,total phosphorus and total potassium in layer manure and the correlative coefficients amounted to 0.509,0.726 and 0.846 respectively. With increase of dilution multiple,the correlation coefficient of the regression equation between EC and the nutrient contents increase first and later decrease.The component contents of layer manure can be estimated by these two physical-chemical parameters,SG and EC.
Key words:  layer manure,fertilizer value,electrical conductivity(EC),specific gravity(SG)