Frequency Analysis on the Data of Field Fertilizer Efficiency Test and Fertilization Decision-making

作     者：李洪文 叶和生 李保华 李春莲 施文发 郭家军 马云 李锡芝 Hongwen LI;Hesheng YE;Baohua LI;Chunlian LI;Wenfa SHI;Jiajun GUO;Yun MA;Xizhi LI

作者机构：云南省双柏县农业技术推广服务中心(土壤肥料工作站)云南双柏675100 鄂嘉镇农业技术推广服务中心云南双柏675107 安龙堡乡农业技术推广服务中心云南双柏675104 

出 版 物：《Agricultural Science & Technology》 (农业科学与技术（英文版）)

年 卷 期：2015年第16卷第5期

页      面：973-979页

学科分类：09[农学] 0903[农学-农业资源与环境] 

基　　金：Supported by Fiscal Subsidy Project Fund of National Soil Testing and Formulated Fertilization(Yun Cai Nong2045) 

主　　题：Field fertilizer efficiency test Fertilizer effect function Frequency analysis Fertilization decision-making 

摘      要：To solve the problems of abnormal larger, abnormal lower or even negative of target yield and fertilizing amount recommended by part of non-typical fertilizer effect equations using agricultural experiments and statistical analysis software,Yangzhou analyzer（2.2）, regression analysis of Excel, which objected to local actual production, the study adopted the principle and method of basic knowledge and the frequency of using probability theory, and carried out statistical analysis on the rape field fertilizer experiment data by frequency analysis method, the rape yield after optimizing fertilizing amount was 1 732.4 kg/hm^2, the ranges of N, P and K optimal combinations were： N=210.36-149.64 kg/hm^2,P2O5=81.89-58.11 kg/hm^2, K2O=81.89-58.11 kg/hm^2,which was consistent with local actual production. This study was based on frequency analysis, using weighted average method to determine the production combinations of different yield objectives, hereinto, the combinations with high yield, high frequency of occurrence（dependable crop） and fertilizer-saving were viewed as the optimizing production measures, and they had the merits of increasing fertilization decision-making information, reducing or avoiding the risk of small probability event. The results of this study can solve the problem of abnormal values fertilizing amount and target yield recommended by non-typical fertilizer effect function, which did not accord with local actual production, caused by Yangzhou analyzer（2.2）, regression analysis of Excel, and DPS statistical analysis software. For the fertilizer effect function equation established by regression analysis which did not reach significance level using variance analysis, whether the method can be adapted to for carrying out fertilization decision-making, recommending optimization combinations of N, P and K fertilizers and yield under optimized fertilizing amount should be further researched in future working practice.