SIMULATION OF SUMMER GROUNDNUT PHENOLOGY UNDER DIFFERENT SOWING DATES USING CROPGRO-PEANUT MODEL IN MIDDLE GUJARAT

B.M. MOTE¹, S.B. YADAV², N. KUMAR³, M.J. ZINZALA⁴*, V. PANDEY^5
1Directorate of Research Office, Navsari Agricultural University, Navsari, 396450, Gujarat, India
²Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand, 388110, Gujarat, India
³Department of Agronomy, College of Agriculture, Bharuch, 392 012, Navsari Agricultural University, Navsari, 396450, Gujarat, India
⁴Department of Agronomy, College of Agriculture, Bharuch, 392 012, Navsari Agricultural University, Navsari, 396450, Gujarat, India
⁵Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand, 388110, Gujarat, India
* Corresponding Author : zinzalamanish99@gmail.com

Received : 03-06-2020     Accepted : 20-06-2020     Published : 30-06-2020
Volume : 12     Issue : 6       Pages : 1852 - 1854
Int J Microbiol Res 12.6 (2020):1852-1854

Keywords : CROPGRO-peanut model, Calibration and validation, Groundnut phenology
Academic Editor : Rajpal Diwakar
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand, 388110, Gujarat, India.
Author Contribution : All authors equally contributed

Field experiments were carried out at College farm, B. A. College of Agriculture, Anand Agricultural University, Anand. The DSSAT v4.6 CROPGRO-Peanut model was used to predict the phenology of groundnut crop under combinations of three sowing dates and four groundnut cultivars. The model was calibrated with a 2015 dataset of growth and phenological parameters for estimating the genetic coefficients of all four cultivar and was validated with a 2016 dataset of the same parameters. Simulations of phenological parameters using the calibrated model were found to be quite accurate. The model was able to reasonably simulate the days to anthesis, first pod initiation and physiological maturity with low per cent error (± 4.80) between observed and simulated days for all cultivars under different sowing dates and high correlation coefficient (r> 0.61) but in case of LAI model simulated slightly high per cent error (9.58%) and low correlation coefficient (r> 0.61).

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