Simulation of environmental and varietal effects in rice using ceres model

dc.contributor.advisorAjithkumar, B
dc.contributor.authorNaziya
dc.contributor.authorKAU
dc.date.accessioned2019-12-02T08:08:49Z
dc.date.available2019-12-02T08:08:49Z
dc.date.issued2014
dc.descriptionPGen_US
dc.description.abstractThe present investigation on “Simulation of environmental and varietal effects in rice using CERES model” were carried out in Department of Agricultural Meteorology, College of Horticulture, Vellanikkara during 2012-13 to determine the crop weather relationship, to calibrate the genetic coefficient and simulation of phenology, growth and yield of Jyothi and Kanchana varieties of rice. The experiment was laid out in split plot design with four replications at Agricultural Research Station, Mannuthy during the Kharif season of 2013. Five dates of planting was assigned as a main plot treatment viz., 5th June, 20th June, 5th July, 20th July and 5th August with two varieties (Jyothi and Kanchana) as sub plot treatment. The different growth and yield characters like plant height, leaf area index, dry matter accumulation,1000 grain weight, grain yield, straw yield, number of panicles, spikelets, filled grains and duration of different growth phases were recorded along with monitoring the incidence of various pest and diseases. The daily weather parameters like maximum and minimum temperatures, forenoon and afternoon relative humidity, forenoon and afternoon vapour pressure deficits, bright sunshine hours, evaporation, wind speed, rainfall and rainy days were determined. The minimum temperature, afternoon and forenoon relative humidity, rainfall, rainy days, bright sunshine hours and evaporation were found to be higher in early planting dates compared to late plantings. Plant height, leaf area index, dry matter accumulation, yield and yield attributes were highly variable among the different planting dates. Yield and yield attributes were influenced by various weather parameters experienced by the crop during different dates of planting. Days taken to complete maturity were reduced with each successive delay in planting dates in both the varieties. Genotypic variations are found between the varieties but days taken for each phenophases were found to be similar. June 5th and July 20th planting recorded the highest yield in Jyothi whereas June 20th and July 5th planting gave highest yield in Kanchana. Jyothi was found to be superior to Kanchana during the crop season. To determine the critical weather elements affecting the crop growth, correlation analysis was done and it was observed that crop duration would decrease with increase in temperature and bright sunshine hours whereas, the forenoon and afternoon relative humidity, rainfall and rainy days showed a positive influence on crop duration. Multiple linear regression models were fitted, to predict the grain yield based on weather variables. The crop genetic coefficients that influence the occurrence of developmental stages in the CERES-rice models were derived, to achieve the best possible agreement between the simulated and observed values. Calibration was done with the independent data sets of two rice varieties viz. Jyothi and Kanchana for different genetic coefficients, which characterize the performance of the crop. The performance of the CERES-rice simulation model was tested and evaluated using the calibrated genetic coefficients for both the varieties with their respective planting dates. The results of simulation studies in respect of phenophases and yield of rice were compared with the observed values from the field experiment. Root Mean Square Error (RMSE) and D- stat (index of agreement) were used to evaluate the model performance and found that predicted yield of both rice varieties Jyothi and Kanchana under different planting dates were reasonably close to the observed values.en_US
dc.identifier.citation173471en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810136621
dc.keywordsGrowth and yield of rice, Wheather parameters of the growth and yield of rice, Weather influence of the incidence of pest and diseases, Crop simulation models, Crop managementen_US
dc.language.isoenen_US
dc.publisherDepartment of Agricultural Meteorology, College of Horticulture, Vellanikkaraen_US
dc.subAgricultural Meteorologyen_US
dc.subjectnullen_US
dc.themeSimulation of environmental and varietal effects in riceen_US
dc.these.typeM.Scen_US
dc.titleSimulation of environmental and varietal effects in rice using ceres modelen_US
dc.typeThesisen_US
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