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dc.contributorYadava, Narendra Deven_US
dc.contributorJat, Sita Ramen_US
dc.contributorGulati, I. L.en_US
dc.contributorRathore, Vijay Singhen_US
dc.contributorMeel, Birbalen_US
dc.contributorKumawat, Amiten_US
dc.contributorGlazirina, Mariyaen_US
dc.creatorSoni, Moti Lalen_US
dc.date2016-12-31en_US
dc.date.accessioned2017-02-13T17:37:03Z
dc.date.available2017-02-13T17:37:03Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/nDh890QZen_US
dc.identifier.citationMoti Lal Soni, Narendra Dev Yadava, Sita Ram Jat, I. L. Gulati, Vijay Singh Rathore, Birbal Meel, Amit Kumawat, Mariya Glazirina. (31/12/2016). Evaluation of CropSyst Model for Simulating Green Area Index, Soil Water and Yield of Psyllium in Hyper Arid Partially Irrigated Zone of Rajasthan. Annals of Arid Zone, 55 (3&4), pp. 129-138.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5746
dc.description.abstractCropping systems model (CropSyst) was calibrated using the experimental data of crop parameters, soil profile data and observed daily weather data of experimental site for 2012-13 and validated the experimental data of crop growth, yield parameters and soil moisture for 2013-14 for psyllium crop grown at farmer’s field in IGNP stage-II of Bikaner. The results of the present study showed that the CropSyst model calibrated seed yield, above ground biomass and soil moisture reasonably well. The simulated seed yield of psyllium (429 kg ha-1) matched well with the observed yield (462 kg ha-1) with relative error of 7.1%. The observed above ground biomass (AGB) at harvest (1085 kg ha-1) also matched with simulated AGB (997 kg ha-1) with relative error of 8.1%. During validation of the model during 2013-14, prediction of simulated seed yield (597 kg ha-1) was very good and matched well with the observed seed yield (557 kg ha-1) with relative errors of 7.3%. However, the simulated AGB (1894 kg ha-1) of psyllium was over predicted as compared to observed AGB (1395 kg ha-1) with relative errors of 35.8%. The simulated green area index (GAI) was not properly captured by the model. The simulated N-uptake (34.0 kg ha-1) was moderately higher than observed N-uptake (26.0 kg ha-1). Simulated soil moisture was well predicted and excellent matched with observed values in most of the layers. About half of total water applied lost by deep drainage with water productivity of 0.17 kg m-3.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherThe Arid Zone Research Association of Indiaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceAnnals of Arid Zone;55,Pagination 129,138en_US
dc.subjectvalidationen_US
dc.subjectcropsyst modelen_US
dc.subjectpsylliumen_US
dc.subjectignp stage-iien_US
dc.titleEvaluation of CropSyst Model for Simulating Green Area Index, Soil Water and Yield of Psyllium in Hyper Arid Partially Irrigated Zone of Rajasthanen_US
dc.typeJournal Articleen_US
cg.subject.agrovoccalibrationen_US
cg.contributor.centerCentral Arid Zone Research Institute - CAZRIen_US
cg.contributor.centerSwami Keshwanand Rajasthan Agricultural University - SKRAUen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderGovernment of Indiaen_US
cg.contributor.projectImproving Crop Water Productivity in Indira Gandhi Nahar Paroyijanaen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactsoni_ml2002@yahoo.co.inen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/ignpen_US


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