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不同肥力土壤氮素矿化与模拟
引用本文:张永帅,潘薇薇,郭金强,王娟,韩登武,白书军,李宝林,危常州.不同肥力土壤氮素矿化与模拟[J].新疆农业科学,2007,44(5):599-603.
作者姓名:张永帅  潘薇薇  郭金强  王娟  韩登武  白书军  李宝林  危常州
作者单位:1. 石河子大学农学院资源环境系,新疆石河子,832003
2. 石河子市气象局,新疆石河子,832000
3. 乌兰乌苏农业气象试验站,新疆石河子,832021
4. 石河子大学农学院资源环境系,新疆石河子,832003;石河子大学/新疆生产建设兵团绿洲生态农业重点实验室,新疆石河子,832003
基金项目:国家农业部引进国际先进农业科学技术计划(948计划)
摘    要:利用田间原位测定,分析了不同肥力土壤氮素矿化规律,可用Logistic累积函数加以模拟,决定系数均达到显著水平,不同肥力土壤氮素矿化量之间存在显著差异,土壤氮素总矿化量占棉花吸氮量的65%~79%,因此,在施肥前,针对不同肥力的田块,利用模型估计土壤某一阶段氮素矿化量,进行氮肥分期动态调控,模型的作用是不可低估的。

关 键 词:不同肥力  土壤氮素矿化  滴灌  棉田  Logistic模型
文章编号:1001-4330(2007)05-0599-05
收稿时间:2007-01-15
修稿时间:2007年1月15日

Mineralization and Simulation of Soil Nitrogen with different Fertility
ZHANG Yong-shuai,PAN Wei-wei,GUO Jin-qiang,WANG Juan,HAN Deng-wu,BAI Shu-jun,LI Bao-lin,WEI Chang-zhou.Mineralization and Simulation of Soil Nitrogen with different Fertility[J].Xinjiang Agricultural Sciences,2007,44(5):599-603.
Authors:ZHANG Yong-shuai  PAN Wei-wei  GUO Jin-qiang  WANG Juan  HAN Deng-wu  BAI Shu-jun  LI Bao-lin  WEI Chang-zhou
Institution:1. Department of Resources and Environmental Sciences, Shihhotze University , Shihhotze Xinjiang 832003, China; 2. Meteorological Bureau of Shihhotze City, Shihhotze Xinjiang 832003, China; 3. Agricultural Meteorological Experiment Station of Wulanwasu , Shihhotze Xinfiang 832021, China;4. Key Laboratory of Oasis Ecological Agriculture of Xinjiang Production and Construction Corps, Xinfiang Shihhotze University, Shihhotze Xinjiang 832003, China
Abstract:Soil nitrogen mineralization under different fertility level in field was studied. The results demonstrated that correlation coefficients and the amount of soil mineralized nitrogen showed a high significance. The amount of soil mineralized nitrogen occupied 65% - 79% of the total nitrogen absorbed by cotton plant. Therefore, model played an important role in predicting the amout of different fertility level soil mineralized nitrogen in some growth stages before nitrogen applying.
Keywords:different fertility level  soil nitrogen mineralization  drip irrigation  cotton field  logistic model
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