Comprehensive Study on Soil Water and Nitrogen Balance of Maize Using CERES Maize Model in DSSAT | Chapter 14 | Current Perspectives to Environment and Climate Change Vol. 4

 

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.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/247

Impact of Climate Change on Growth and Yield of Maize UsingCERES-Maize Model under Temperate Kashmir | Chapter 15 | Current Perspectives to Environment and Climate Change Vol. 4

 Climate variability has been and continues to be, the principal source of fluctuations in global food

production in countries of the developing world and is of serious concern. Process-based models use
simplified functions to express the interactions between crop growth and the major environmental
factors that affect crops (i.e., climate, soils and management) and many have been used in climate
impact assessments. Average of 10 years weather data from 1985 to 2010, maximum temperature
shows an increasing trend ranges from 18.5 to 20.5°C.This means there is an increase of 2°C within a
span of 25 years. Decreasing trend was observed with respect to precipitation was observed with the
same data. The magnitude of decrease was from 925 mm to 650 mm of rainfall which is almost
decrease of 275 mm of rainfall in 25 years. Future climate for 2011-2090 from A1B scenario extracted
from PRECIS run shows that overall maximum and minimum temperature increase by 5.39°C (±1.76)
and 5.08°C (±1.37) also precipitation will decrease by 3094.72mm to 2578.53 (±422.12) The objective
of this study was to investigate the effects of climate variability and change on maize growth and yield
of Srinagar Kashmir. Two enhanced levels of temperature (maximum and minimum by 2 and 4°C) and
CO2 enhanced by 100 ppm & 200 ppm were used in this study with total combinations of 9 with one
normal condition. Elevation of maximum and minimum temperature by 4°C anthesis and maturity of
maize was earlier 14 days with a deviation of 18% and 26 days with a deviation of 20% respectively.
Increase in temperature by 2 to 4°C alone or in combination with enhanced levels of CO2 by 100 and
200 ppm the growth and yield of maize was drastically declined with an reduction of about 40% in
grain yield. Alone enhancement of CO2 at both the levels fails show any significant impact on maize
yield

Author(s) Details

Dr. Bilal Ahmed Lone
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.

Asma Fayaz
Chandigarh University, India

Dr. Purshotam Singh
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.

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

Dr. Zahoor Ahmad Dar
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.

Dr. Sandeep Kumar
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.


Najmah Andrabi
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.


Mehreen Manzoor
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.


Dr. Faisal Rasool
Shere-Kashmir University of Agricultural Sciences and Technology of Kashmir, India


View Book:- https://bp.bookpi.org/index.php/bpi/catalog/book/247