Comprehensive Study on Soil Water and Nitrogen Balance of Maize Using CERES Maize Model in DSSAT

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Comprehensive Study on Soil Water and Nitrogen Balance of Maize Using CERES Maize Model in DSSAT

September 1, 2020 Environment and Climate 0

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.

Author (s) Details

Bilal Ahmed Lone
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.

Asma Fayaz

Chandigarh University, India.


Sameera Qayoom
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.


Zahoor Ahmad Dar
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.

Sandeep Kumar
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.

Najmah Andrabi
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.

Mehreen Manzoor
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.

Faisal Rasool
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, India.

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