Singh, Gurdeep and Lone, B and Qayoom, Sameera and Singh, Purshotam and Dar, Zahoor and Kumar, Sandeep and Fayaz, Asma and Singh, K and Hussain, Altaf (2017) Soil Water and Nitrogen Balance Study of Maize Using CERES Maize Model in DSSAT. British Journal of Environment and Climate Change, 7 (2). pp. 83-91. ISSN 22314784
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Abstract
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.
Item Type: | Article |
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Subjects: | Archive Paper Guardians > Geological Science |
Depositing User: | Unnamed user with email support@archive.paperguardians.com |
Date Deposited: | 22 May 2023 06:48 |
Last Modified: | 27 Feb 2024 04:32 |
URI: | http://archives.articleproms.com/id/eprint/964 |