Simulating maize yield study at enhanced level of temperature using CERES maize model DSSAT.4.7

Abstract

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. Mean yearly maximum and minimum temperature both shows an increasing trend for last 30 years. Climatic scenario from A1B scenario 2011-2090 extracted from PRECIS run shows that overall maximum and minimum temperature increase by 5.39 oC (±1.76) and 5.08 oC (±1.37). Decrease in yield with increase in temperature adopted the following order, Maximum (max.)+Minimum (min.) > Max. > Min. Maximum decrement of 16.86 q/ha in the yield was recorded when the both max. and min. temperature were increased by 4oC as compared to normal temperature accounts to about 38.7%. Max. temperature lead to staggering in the irrigation water productivity, however a consistent increase in the irrigation water productivity was realised with an increase in minimum temperature. Dry matter productivity of 50 kg DM /ha/mm [ET] was observed with the increase of 1oC in both Max. and Min. temperatures and the lowest value of (16.7 kg DM /ha/mm[ET]) was recorded when the crop is supposed to grow at enhanced level maximum temperature by +4 oC both maximum and minimum temperature. Increase in both the max and minimum temperature by +10oC lead to maximum irrigation water productivity of 22.4 (kg[yield]/ha/mm [irrig]) and the lowest irrigation water productivity of 16.7 (kg[yield]/ha/mm [irrig]) was registered when both max. as well as min. temp. was raised by +4oC minimum temperature. Doi.org/10.25174/2582-2675/2020/100239