Water productivity and yield analysis of groundnut using CropSyst simulation model in hyper arid partially irrigated zone of Rajasthan
cg.contact | soil.sitaram@gmail.com | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.center | Central Arid Zone Research Institute - CAZRI | en_US |
cg.contributor.center | Swami Keshwanand Rajasthan Agricultural University - SKRAU | en_US |
cg.contributor.crp | CGIAR Research Program on Dryland Systems - DS | en_US |
cg.contributor.funder | Government of India | en_US |
cg.contributor.project | Improving Crop Water Productivity in Indira Gandhi Nahar Paroyijana | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.country | IN | en_US |
cg.coverage.region | Southern Asia | en_US |
cg.creator.id | Nangia, Vinay: 0000-0001-5148-8614 | en_US |
cg.date.embargo-end-date | 2018-03-01 | en_US |
cg.identifier.doi | https://dx.doi.org/10.18805/lr.v0iOF.3551 | en_US |
cg.isijournal | ISI Journal | en_US |
cg.issn | 0250-5371 | en_US |
cg.journal | Legume Research | en_US |
cg.subject.agrovoc | climate | en_US |
cg.subject.agrovoc | crops | en_US |
cg.subject.agrovoc | data | en_US |
cg.subject.agrovoc | land management | en_US |
cg.subject.agrovoc | productivity | en_US |
cg.subject.agrovoc | soil | en_US |
cg.subject.agrovoc | technology | en_US |
cg.subject.agrovoc | tools | en_US |
cg.subject.agrovoc | modelling | en_US |
dc.contributor | Gulati, I. L. | en_US |
dc.contributor | Soni, Moti Lal | en_US |
dc.contributor | Kumawat, Amit | en_US |
dc.contributor | Yadava, Narendra Dev | en_US |
dc.contributor | Nangia, Vinay | en_US |
dc.contributor | Glazirina, Mariya | en_US |
dc.contributor | Meel, Birbal | en_US |
dc.contributor | Rathore, Vijay Singh | en_US |
dc.creator | Jat, Sita Ram | en_US |
dc.date.accessioned | 2017-03-14T12:01:53Z | |
dc.date.available | 2017-03-14T12:01:53Z | |
dc.description.abstract | CropSyst is one of the most important process-oriented simulation models largely used for field crops all over the world to study the effect of climate, soil and management practices on crop productivity. In the present study, we have calibrated and validated the CropSyst model for groundnut crop grown at farmer’s field in IGNP Stage-II of Bikaner. CropSyst model was calibrated using the experimental data of crop parameters, soil profile data and observed daily weather data of experimental site for 2012 and validated the experimental data of crop growth and yield parameters for 2013. The results of the study showed that the CropSyst model simulated the crop growth parameter data viz. green area index, seed yield, above ground biomass and N-uptake of groundnut reasonably well. The seed yield, above ground biomass and N- uptake was validated well by the model with relative error of 3.3, 2.2 and 8.4 %, respectively. The total water applied in groundnut was 728.9 and 619.6 mm in 2012 and 2013, respectively out of this 664.9 and 530.5mm consumed in evapotranspiration. | en_US |
dc.format | DOCX | en_US |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/r0CKdznq/v/363e35f0b4d8d8c735bb9ae2f76b0581 | en_US |
dc.identifier.citation | Sita Ram Jat, I. L. Gulati, Moti Lal Soni, Amit Kumawat, Narendra Dev Yadava, Vinay Nangia, Mariya Glazirina, Birbal Meel, Vijay Singh Rathore. (Accepted on 10/3/2017). Water productivity and yield analysis of groundnut using CropSyst simulation model in hyper arid partially irrigated zone of Rajasthan. Legume Research. | en_US |
dc.identifier.status | Limited access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/6469 | |
dc.language | en | en_US |
dc.publisher | Agricultural Research Communication Centre (AARC) | en_US |
dc.rights | CC-BY-NC-4.0 | en_US |
dc.source | Legume Research; | en_US |
dc.title | Water productivity and yield analysis of groundnut using CropSyst simulation model in hyper arid partially irrigated zone of Rajasthan | en_US |
dc.type | Journal Article | en_US |
dcterms.available | 2017-03-10 | en_US |
mel.impact-factor | 0.145 | en_US |
mel.project.open | https://mel.cgiar.org/projects/ignp | en_US |