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  • 标题:Soil Water and Nitrogen Balance Study of Maize Using CERES Maize Model in DSSAT
  • 本地全文:下载
  • 作者:Gurdeep Singh ; B. A. Lone ; Sameera Qayoom
  • 期刊名称:International Journal of Environment and Climate Change
  • 印刷版ISSN:2581-8627
  • 出版年度:2017
  • 卷号:7
  • 期号:2
  • 页码:83-91
  • DOI:10.9734/BJECC/2017/31732
  • 语种:English
  • 出版社:Sciencedomain International
  • 摘要:Simulated studies indicated that early sowing i.e 15th April (D1) predicted highest grain yield during all the years from 1986-2013. Under irrigated conditions increasing levels of N predicted increased grain and stover yield from N levels up to 90 kg N ha-1. Under irrigated and mulched conditions increased level of N predicted increase in maize grain and stover yield upto 120 kg N ha-1. Whereas under un-irrigated mulched conditions highest grain and stover yield was predicted at 60 kg N ha-1. Maize yield was also simulated at different sowing dates and in combination with variable spacings and it was predicted that under irrigated condition closer spacing 40 cm × 20 cm at 15th April sowing recorded highest grain and stover yield of maize. Under un-irrigated mulched conditions highest grain yield was predicted at 30th April sowing with spacing 65 cm × 20 cm. Soil water balance under simulation studies indicated that potential ET was recorded comparatively higher with early sowing date than late sowing date under both irrigated un-irrigated mulched conditions. Similar trend was recorded with respect to transpiration under both irrigated and un-irrigated mulched conditions. Simulated soil evaporation was more in wider spacing than closer spacing. Similar trend was recorded with regard to simulated run-off. Predicted nitrate content (final) of irrigated soil decreased where under un-irrigated mulched conditions 15th April (D1) sowing predicted lowest NO3 leaching than later sowing dates. Under un-irrigated mulched conditions leached nitrate was nominal. Nitrogen denitrification was comparatively more under un-irrigated mulched conditions than irrigated condition. It is concluded that DSSAT v 4.5CERES-Maize model is very robust in predicting the growth and yield of maize as influenced by agrotechniques and could be used in wider perspective.
  • 关键词:DSSAT;ET;run off;N dynamics;simulation
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