Performance of CROPGRO model for simulating yield of Mungbean (Vigna radiata) under Tarai region of Uttarakhand
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Date
2021-02
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G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
The present study was conducted at Norman E. Borlaug Crop Research Centre of G.B Pant University of Agriculture and Technology, Pantnagar during kharif 2019 to analyse the effect of different sowing date and row spacing on the growth and development of Mungbean crop as well as study the thermal requirement of the crop in Tarai Region of Uttarakhand. The experiment with two factors; sowing date (31st July, 10th August and 21st August) and row spacing (20 cm×10 cm, 25 cm×10 cm and 30 cm×10 cm) was laid out in Random Block Design with three replications. The variety of mungbean taken for the experiment was Pant Mung-2. All the recommended cultural practices followed during the crop growth period. The various growth parameters under observations were periodically recorded to evaluate the treatment effect on growth and yield of crop. The heat unit requirement study shows that various thermal indices i.e., GDD, HTU and PTU reduced with delay in planting dates. Higher values of thermal units were positively correlated with good crop growth and yield of crop. It is observed that timely sown crop (D1,31st July)exhibit best growth and yield as the favourable environmental conditions coincided with heat unit requirement of different phenophases of mungbean. The experiment analysis suggests that the crop sown on 31st July with 30 cm×10 cm performed better among all treatment. The yield contributing parameters and grain yield were found to be reducing with delay in sowing date and narrow row spacing. The CROPGRO Model was successfully calibrated against the emergence, plant height, physiological maturity, straw yield, biological yield and grain yield. The observed grain yield was comparable with the simulated grain yield with % RMSE of 5.72. Among pulses, the green gram [Vigna radiata (L.) Wilczek] is one of the most important and extensively cultivated pulse crops. The weather is an important factor affecting the production the mungbean. The sensitivity analysis of the CROPGRO Model for mungbean was performed to see the effect of changing weather variables i.e., mean temperature and CO2 concentration (ppm) on the grain yield of mungbean. The results showed that the crop was highly sensitive to temperature and CO2 concentration. The simulated yield increases with increase in CO2 concentration and vice-versa. In case of mean temperature, the simulated yield decreases with increase in mean temperature and vice- versa.