Lone, Bilal Ahmed and Fayaz, Asma and Qayoom, Sameera and Dar, Zahoor Ahmad and Kumar, Sandeep and Andrabi, Najmah and Manzoor, Mehreen and Rasool, Faisal (2020) Comprehensive Study on Soil Water and Nitrogen Balance of Maize Using CERES Maize Model in DSSAT. In: Current Perspectives to Environment and Climate Change Vol. 4. B P International, pp. 167-176. ISBN 978-93-89816-73-0
Full text not available from this repository.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 unirrigated
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: | Book Section |
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Subjects: | Academic Digital Library > Geological Science |
Depositing User: | Unnamed user with email info@academicdigitallibrary.org |
Date Deposited: | 07 Nov 2023 05:23 |
Last Modified: | 07 Nov 2023 05:23 |
URI: | http://publications.article4sub.com/id/eprint/2718 |