Simulation of Rice Performance under Alkaline Soil Pedon Using CERES-Rice Model
Rice performance under alkaline soil
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Authors
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Manish Yadav
Department of Soil Science, Punjab Agricultural University, Ludhiana, Punjab-141001, India
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B. B. Vashisht
Department of Soil Science, Punjab Agricultural University, Ludhiana, Punjab-141001, India
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Gajender Yadav
ICAR-Central Soil Salinity Research Institute, Karnal, Haryana-132001, India
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Chiranjeev Kumawat
Department of Soil Science and Agricultural Chemistry, SKN Agriculture University, Jobner, Rajasthan-303 329, India
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N. S. Paschapur
Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana, Punjab-141004, India
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Satender Kumar
ICAR-Central Soil Salinity Research Institute, Karnal, Haryana-132001, India
Keywords:
Calibration, Evapotranspiration, Pedon, Soil texture, Water use efficiencyAbstract
A multi-location field experiment was conducted on crop establishment methods of rice under different soil texture. Field experiments in Indian Punjab were conducted on three soil textures including sandy loam, sandy clay loam, and clay loam soils. The experiment was conducted in randomized block design with nine treatment combinations of direct-seeded rice (DSR) and transplanted flooded rice (TFR), along with different irrigation strategies. The results of multi locations field study were used for CERES-Rice model calibration and validation. Simulation study was performed in a soil pedon near Ferozpur, Punjab to evaluate the performance of rice establishment methods under alkaline soil enlivenment. The CERES-Rice model showed satisfactory accuracy in simulating grain yield, biomass, and evapotranspiration (ET), with low RMSE values, indicating minimal residual variation. Other evaluation indices such as Nash-Sutcliffe Modelling Efficiency (ME), R² values demonstrated strong correlation between observed and simulated data. The index of agreement (d) values, ranging from 0.71 to 0.76, indicated good reliability of the model. These results confirmed the model's predictive capability and effectiveness under varying climatic conditions, supporting improved crop management. The simulated grain yield of TFR in neutral soil (Pedon 1) was 5.7 t ha⁻¹ and reduced to 5.0 t ha⁻¹ for direct seeded rice. In contrast, alkaline soil (Pedon 2) had lower yields (4.9 t ha⁻¹ for TFR) and crop failure for DSR, reflecting poor nutrient dynamics and water retention. The water use efficiency for TFR in alkaline soil was slightly reduced, highlighting challenges in such soils.
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References
Ahmad S, Ahmad A, Ali H, Hussain A, Garcia y Garcia A, Khan MA, Zia-Ul-Haq M, Hasanuzzaman M and Hoogenboom G (2013a) Application of the CSM-CERES-Rice model for evaluation of plant density and irrigation management of transplanted rice for an irrigated semiarid environment. Irrigation Science 31:491-506.
Ahmad S, Zia-Ul-Haq M, and Hoogenboom G (2013b) Application of the CSM-CERES-Rice model for evaluation of plant density and nitrogen management of fine transplanted rice for an irrigated semiarid environment. Precision Agriculture 13(2): 200-218.
Asma J, Subrahmanyam D and Krishnaveni D (2023) The global lifeline: A staple crop sustaining two thirds of the world's population. Agriculture Archives 2(3):15-18.
Chandran K, Reddy KN and Reddy KS (2021) Assessing climate change impacts on rice production using crop simulation models: A review. Environmental Monitoring and Assessment 193(3): 1-15.
Fahad S, Adnan M, Noor M, Arif M, Alam M, Khan IA and Wang D (2019) Major constraints for global rice production. In Advances in rice research for abiotic stress tolerance. Woodhead Publishing, pp 1-22.
Goswami S and Dutta SK (2020) Evaluation of crop growth models for assessing yield gaps in rice production systems: A review. Journal of Agricultural Science 12(2): 145-157.
Hailu B and Mehari H (2021) Impacts of soil salinity/sodicity on soil-water relations and plant growth in dry land areas: A review. Journal of Natural Sciences Research 12(3): 1-10.
Hoogenboom G, Jones JW, Wilkens PW, Porter CH, Boote KJ, Hunt LA, Singh U, Lizaso JL, White JW, Uryasev O, Royce FS, Ogoshi R, Gijsman AJ, Tsuji GY and Koo J (2024) Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.8.2 (www.DSSAT.net). DSSAT Foundation, Gainesville, Florida, USA.
Hoogenboom G, Jones JW, and Wilkerson GG (2019) The CSM-CERES-Rice model: A process-based approach to simulate rice growth and yield. In DSSAT v4.7.5 User's Guide. Retrieved from https://dssat.net/csm-ceres-rice/
Jha RK, Kalita PK, and Jat R (2020) Development of production management strategies for a long-duration rice variety: Using crop growth model, DSSAT, for the state of Bihar, India. Paddy and Water Environment 18: 531-545.
Jyolsna T, Vashisht BB, Yadav M, Kaur R, and Jalota SK (2024) Field and simulation studies on yield, water and nitrogen dynamics and use efficiency in rice-wheat crops in sequence. Field Crops Research 311: 109366.
Kaur K and Kaur P (2022) Simulation of yield of rice cultivars under variable agronomic management options using CERES-Rice and InfoCrop-rice models in irrigated plains of Punjab. Agricultural Research Journal 59(3): 142-149.
Kundathil C, Viswan H, and Kumar P (2023) Crop simulation modeling: A strategic tool in crop management. Journal of Food Chemical Nanotechnology 9(S1): S342-S358.
Mirakhori M, Mirshekari B, Amiri E, Paknejad F, Yarnia M (2017) Evaluation of CERES-Rice model in simulation of rice growth under constraint irrigation and nitrogen fertilizer conditions. Ambient Science 3(2): 03-04.
Mukherjee J, Singh L, Singh G, Bal SK, Singh H and Kaur P (2011) Comparative evaluation of WOFOST and ORYZA2000 models in simulating growth and development of rice (Oryza sativa L.) in Punjab. Journal of Agrometeorology 13(2): 86-91.
Nash JE and Sutcliffe JV (1970) River flow forecasting through conceptual models: A discussion of principles. Journal of Hydrology 10: 282–290.
Paschapur NS, Medhi K, Sarmah K, Goswami B, Bal SK, Subbarao AVM and Sarmah AK (2022) Assessing impact of projected climate change on sali rice in a representative district of upper Brahmaputra valley zone of Assam. International Journal of Environment and Climate Change 12(10): 16-30.
Pathak H, Li C, Wassmann R, and Ladha JK (2006) Simulation of nitrogen balance in rice–wheat systems of the Indo‐Gangetic plains. Soil Science Society of America Journal 70(5): 1612-1622.
Rajasivaranjan T, Anandhi A, Patel NR, Irannezhad M, Srinivas CV, Veluswamy K and Raja P (2022) Integrated use of regional weather forecasting and crop modelling for water stress assessment on rice yield. Scientific Reports 12(1): 16985.
Rathod S, Bhanusree D, Srinivasachary D, Balaji NB, Nirmala B, Supriya K, Bellamkonda J, and Jammugani R (2021) Estimation of potential yield of rice using DSSAT-CERES rice model. Journal of Pharmacognosy and Phytochemistry 8(4): 125-132.
Reynolds M, Kropff M, Crossa J, Koo J, Kruseman G, Molero MA and Vadez V (2018) Role of modelling in international crop research: overview and some case studies. Agronomy 8(12): 291-299.
Ritchie JT (1998) CSM-CERES-Rice model: A process-based approach to simulate rice growth and yield. Field Crops Research 57(2): 113-127.
Roy N, Kumar A, Majumder S and Mondal P (2021) Consequences of anthropogenic disturbance on variation of soil properties and food security: An Asian story. In Soil Science: Fundamentals to recent advances, Springer Singapore, pp 693-727.
Shrivastav P, Prasad M, Singh TB Yadav A, Goyal D, Ali A and Dantu PK (2020) Role of nutrients in plant growth and development. In Naeem M, Ansari AA, Gill SS (eds) Contaminants in agriculture: Sources, impacts and management, Springer Cham, pp 43-59.
Singh G, Vashisht BB and Sharma S (2018) Customization of DNDC model: Simulation of yield and nitrogen balance in rice (Oryza sativa L.) in relation to climate change, soil and management interventions. Journal of the Indian Society of Soil Science 66(3): 275-286.
Singh U, Ritchie JT and Godwin DC (1990) Planting new ideas in DSSAT: The CERES-Rice model. Agrotechnology Transfer 10(1): 1-7.
Singh U, Ritchie JT and Godwin DC (2021) The role of soil type in crop modeling: Implications for agricultural management practices. Agronomy Journal 113(4): 1234-1245.
Swain DK and Yadav A (2009) Simulating the impact of climate change on rice yield using CERES-Rice model. Journal of Environmental Informatics 13(2): 123-134.
Timsina J and Humphreys E (2003) Performance and application of CERES and SWAGMAN Destiny models for rice-wheat cropping systems in Asia and Australia: a review. CSIRO Land and Water, Griffith, NSW 2680, Australia
Vysakh A, Ajithkumar B, and Rao AS (2016) Evaluation of CERES-Rice model for the selected rice varieties of Kerala. Journal of Agrometeorology 18(1): 120-123.
Willmott CJ (1981) On the validation of models. Physical Geography 2: 184-194.
Yadav M (2024) Modelling crop water productivity and water balance of direct-seeded rice under different irrigation management scenarios in medium to heavy soils of central and undulating plain regions of Punjab. Ph.D. Thesis dissertation, Punjab Agricultural University, Ludhiana, Punjab.
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