Calibration and Validation of DSSAT CROPGRO Peanut Model for Yield and Yield Attributing Characters of Groundnut Varieties in Northern Agro-Climatic Zone of Tamil Nadu
International Journal of Environment and Climate Change,
Aim: The research study was conducted to calibrate and validate the DSSAT CROPGRO peanut model for simulating the potential yield of groundnut to deciding the best possible management options at major growing areas of Northern Agro-Climatic zone of Tamil Nadu.
Study Design: The experiment was conducted in Split plot Design with four Sowing dates and cultivars.
Methodology: The DSSAT model requires layer wise soil data (physical and chemical), including soil texture and other soil properties. Daily weather data, including maximum and minimum air temperature (°C), solar radiation (MJ m−2 day−1), Relative Humidity (%) and precipitation (mm) were used as inputs. Data describing management practices and information of cultivar-specific genetic coefficients were used to calibrate the model. Validation of model were carried out using observed growth and yield attributes of TMV13 and G7 varieties using RMSE (Root Mean Square Error), NRMSE (Normalized Root Mean Square Error) and agreement per cent as test criteria for the evaluation.
Results: The performance of DSSAT CROPGRO peanut model for simulated growth attributes were underestimated the growth attributes like days to anthesis, leaf area index, days to first pod and days to maturity than compared to observed growth attributes of TMV13 and G7 varieties. But the model performs better for G7 as compared to TMV13. Whereas, yield and yield attributes of CROPGRO peanut model were overestimated than the observed yield.
Conclusion: The simulation model shows the low RMSE, NRMSE and high agreement per cent for growth and yield of groundnut which was more than 90 per cent, it shows the higher level of confidence on model simulation with observed characters.
- simulation model
How to Cite
Season and crop report of Tamilnadu. Department of economics and statistics, Chennai, Tamilnadu; 2018.
Bandyopadhyay PK, Mallick S, Rana SK. Water balance andcrop coefficients of summer-grown peanut (Arachis hypogaea L.) in a humid tropical region of India, Irrig. Sci. 2005;23:161–169.
Parmar PK, Patel HR, Yadav SB, Pandey V. Calibration and validation of DSSAT model for Kharif groundnut in north-Saurashtra agro-climatic zone of Gujarat. J. of Agromet. 2013;15(1):62-65.
Yadav SB, Patel HR, Patel GG, Lunagaria MM, Karande BI, Shah AV, Pandey V. Calibration and validation of PNUTGRO (DSSAT v4.5) model for yield and yield attributing characters of kharif groundnut cultivars in middle Gujarat region. Journal of Agrometeorology [ISSN: 0972-1665]. 2012;14:(24-29).
Anothai J, Patanothai A, Jogloy S, Pannangpetch K, Boote KJ, Hoogenboom G. A sequential approach for determining the cultivar coefficients of peanut lines using end-of-season data of crop performance trials. Field Crops Research. 2008;108(2):169-178.
Naab JB, Singh P, Boote KJ, Jones JW, Marfo KO. Using the CROP GR Opeanut model to quantify yield gaps of peanut in the Guinean Savanna zone of Ghana. Agron. J. 2004;96:1231–1242.
Dangthaisong P, Banterng P, Jogloy S, Vorasoot N, Patanothai A, Hoogenboom G. Evaluation of the CSM-CROPGRO-peanut model in simulating responses of two peanut cultivars to different moisture regimes. Asian J. Plant Sci. 2006;5:913–922.
Putto C, Patanothai A, Jogloy S, Pannangpetch K, Boote KJ, Hoogenboom G. Determination of efficient test sites forevaluation of peanut breeding lines using the CSM CROPGROpeanut model, Field Crop Res. 2009;110:272–281.
Khan N, Uddin Faridullah MI. Agronomic characters ofgroundnut (Arachis hypogeae L.) genotypes affected bynitrogen and phosphorus fertilization under rainfedcondition, Electron. J. Environ. Agric. Food Chem. 2009;61–68.
Hoogenboom G, Jones JW, Wilkens PW, Porter CH, Boote KJ, Hunt LA, et al. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.5 [CD‐ROM]. University of Hawaii, Honolulu, Hawaii; 2010.
Boote KJ, Jones JW, Mishoe JW, Wilkerson GG. Modeling growth and yield of groundnut, Agrometeorology of Groundnut, Proceedings of an International Symposium, ICRISAT; 1985.
Banterng P, Patanothai A, Pannagpetch K, Jogly S, Hoogenboom G. Seasonal variation in the dynamic growth anddevelopment traits of peanut lines, J. Agric. Sci. (Camb.). 2003;141:51–62.
Suriharan BA, PAtanothai K, Pannangpetch S, Jogloy, Hoogenboom G. Derivation of cultivar coefficients of peanut lines for breeding applications of the CSM-CROPGRO peanut model. Crop Science. 2006;44:165-172.
Jemison John M, Jalal D Jabro, Richard H Fox. Evaluation of LEACHM: II. Simulation of nitrate leaching from nitrogen-fertilized and manured corn. Agronomy Journal. 1994;86(5):852-859.
Patel GG, Patel HR, Shekh AM, Ujinwal, MK, Patel JS, Pandey V, Bhatt BK. Role of weather parameters on seed yield of mustard in middle Gujarat agro climatic region. Third national seminar on Agro meteorological services for farmers, AAU, Anand. 2008;79-83.
Akula B. Estimating wheat yields in Gujarat using WTGROWS and INFOCROP model. Ph.D. (Agri. Meteorology) thesis submitted to GAU, Sardar krushinagar; 2003.
Babu S. Validation of CROPGRO model for growth, development and yield of rainfed groundnut in South Saurashtra agroclimatic zone of Gujarat. M.Sc. thesis submitted to GAU, Junagadh; 2006.
Pandey V, Shekh AM, Vadodaria RP, Bhat BK. Evaluation of CROPGRO Peanut model for two genotypes under different environment. Paper presented at the National seminar on Agro Meteorological Research for Sustainable Agricultural Production at G.A.U. Anand; 2001.
Deiveegan M, Pazhanivelan S. Modeling Groundnut (Arachis hypogea) Yield at Spatial Level in Tiruvannamalai and Villupuram Districts by Using DSSAT Crop Simulation Model. Advances in Life Sciences. 2016;5(17).
Print : ISSN 2278-3849, 6863-6867.
Soler CMT, Sentelhas PC, Hoogenboom G. Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment. Eur. J. of Agron; 2007.
Sabarinathan B, Pazhanivelan S, Ragunath KP, Sivamurugan AP, Sudarmanian NS. Calibration and validation of CERES-sorghum module of DSSAT model for rabi sorghum under rainfed condition, Pharma Innovation. 2020;10 (1):715-718.
Abstract View: 84 times
PDF Download: 30 times