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Ebrayi KN Pathak H Kalra N Bhatia A Jain N 《Environmental monitoring and assessment》2007,131(1-3):451-465
Nitrogen is the most widely used fertilizer nutrient, and it is a universally deficient nutrient too, which often severely
restricts the growth and yield of crops. To improve N fertilizer management, soil–plant system models can be applied to simulate
adequate N supply for both, optimal crop growth and minimal N losses. The likely impact of climate change on the cereal production
is of paramount importance in the planning strategies to meet the future growing needs on sustainable grounds. In this scenario
models are the effective tools to foresee the probable impacts and for choosing appropriate land use options. The study reported
in this thesis, employs field experiments and use of simulation tools to understand the dynamics of soil N balance and relate
growth and yield of rice under varying nitrogen inputs. The InfoCrop model was used in this study, which was calibrated with
the historic data sets, and subsequently validated with the field experiment conducted at IARI Farm, New Delhi. Simulated
results matched well with the observed values in terms of growth and yield of rice and seasonal nitrogen uptake. The components
of soil nitrogen balance differed among varying nitrogen level treatments, which was also captured by use of InfoCrop. The
model was then taken to climate change impact analysis. The results clearly revealed that when temperature increased, the
soil N losses, like denitrification, volatilization, N2O emission increased, whereas grain and biomass yields decreased. The
further scope of the study is to validate the study in contrasting agroenvironments. 相似文献
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