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Vol. 12, Issue 12 (2023)

Calibration, validation and sensitivity analysis of CROPGRO model for mung bean and Indian bean

Author(s):
VB Virani, RL Joshi, Neeraj Kumar, NM Chaudhari and Rotte Sai Mithra
Abstract:
Climate change is a global issue with wide-ranging impacts, and tropical areas are particularly vulnerable to its effects. Due to India located in a tropical region, it’s become susceptible to the impacts of climate change. As a result, studying the effects of climate change on crop yields in India has become crucial. It is imperative to find viable solutions to mitigate these impacts to ensure food security for the population. The first objective of study aimed to calibrate and validate the CROPGRO model for mung bean and Indian bean. The second objective of this study aim to generate the future climatic data under different RCPs scenarios and assess the climate change impact on mung bean and Indian bean yield. The projected climate change data was generated by using general circulation model GFLD-CM3 under RCPs scenarios for years 2035, 2065, and 2095.The generated data was used to assess the impact of climate change on the yield of mung bean and Indian bean by using a calibrated and validated CROPGRO model. The average percent error for phenology and yields of mung bean and Indian bean has remained below 10%, which indicated the least difference between simulated and observed values. The sensitivity of the CROPGRO model showed that the yield of both crops declined under all RCPs scenarios. The maximum yield was decreased under the RCP 8.5 scenario, mung bean yield decreased up to -70%, and Indian bean yield decreased up to -23.6% in the year 2095 because the average temperature of this year will increase up to 4.5 ℃ from baseline temperature.
Pages: 2178-2182  |  122 Views  75 Downloads


The Pharma Innovation Journal
How to cite this article:
VB Virani, RL Joshi, Neeraj Kumar, NM Chaudhari, Rotte Sai Mithra. Calibration, validation and sensitivity analysis of CROPGRO model for mung bean and Indian bean. Pharma Innovation 2023;12(12):2178-2182.

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