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不同施氮水平下加工番茄植株生长和氮素积累与利用率的动态模拟
引用本文:王新,马富裕,刁明,樊华,崔静,贾彪,何海兵,刘其.不同施氮水平下加工番茄植株生长和氮素积累与利用率的动态模拟[J].生态学杂志,2014,25(4):1043-1050.
作者姓名:王新  马富裕  刁明  樊华  崔静  贾彪  何海兵  刘其
作者单位:(;1.石河子大学农学院, 新疆石河子 832003; ;2.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)
摘    要:通过3年的大田试验,设置不同的氮素水平(0、75、150、300、450、600 kg·hm-2)对不同施氮量下加工番茄地上部生物量、氮素累积及利用率的动态变化进行模拟.结果表明: 加工番茄地上部生物量、氮素累积量和氮素利用率随出苗后累积生理发育时间(PDT)的动态变化符合Logistic模型,氮素快速累积起始时间较地上部生物量快速累积起始时间早4~6 d(PDT);瞬时氮利用率随出苗后累积生理发育时间的动态变化呈先增加后降低的单峰曲线.不同施氮水平下,300 kg·hm-2处理的氮累积量和地上部生物量最多,产量最高.根据Quadratic模型得出,北疆地区加工番茄滴灌栽培的理论适宜施氮量为349~382 kg·hm-2.

关 键 词:加工番茄  滴灌  施氮  生理发育时间  氮素利用率  动态模拟模型

Dynamics simulation on plant growth,N accumulation and utilization of processing tomato at different N fertilization rates.
WANG Xin,MA Fu-yu,DIAO Ming,FAN Hua,CUI Jing,JIA Biao,HE Hai-bing,LIU Qi.Dynamics simulation on plant growth,N accumulation and utilization of processing tomato at different N fertilization rates.[J].Chinese Journal of Ecology,2014,25(4):1043-1050.
Authors:WANG Xin  MA Fu-yu  DIAO Ming  FAN Hua  CUI Jing  JIA Biao  HE Hai-bing  LIU Qi
Institution:(;1.College of Agriculture, Shihezi University, Shihezi 832003, Xinjiang, China; ;Key Laboratory of Oasis Ecological Agriculture, Xinjiang Production and Construction Group, Shihezi 832003, Xinjiang, China)
Abstract:Three field experiments were conducted to simulate the dynamics of aboveground biomass, N accumulation and utilization of drip-irrigated processing tomatoes at different N fertilization rates (0, 75, 150, 300, 450, or 600 kg·hm-2). The results showed that Logistic models best described the changes in aboveground biomass, N accumulation, and utilization of accumulated N efficiency with the physiological development time (PDT). Rapid accumulation of N began about 4-6 d (PDT) earlier than the rapid accumulation of aboveground biomass. The momentary utilization rate of N (NMUR) increased after emergence, reached a single peak, and then decreased. The N accumulation, aboveground biomass and yield were highest in the 300 kg·hm-2 treatment. The quadratic model indicated that application rate of 349 to 382 kg N·hm-2 was optimum for drip irrigated- processing tomatoes in northern Xinjiang.
Keywords:processing tomato  drip irrigation  N application  physiological development time  N utilization rate  dynamic simulation model  
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